I consider the implications of incommensurability for the assumption, in rational choice theory, that a rational agent’s preferences are complete. I argue that, contrary to appearances, the completeness assumption and the existence of incommensurability are compatible. Indeed, reflection on incommensurability suggests that one’s preferences should be complete over even the incommensurable alternatives one faces.

A new approach to analyze scientific methods as patternsof state transitions is proposed and exemplified by the two mostimportant, general methods: induction and deduction. Though only`local' states of science are considered in this paper, includinghypotheses, data, approximation and degree of fit, the approach caneasily be extended to more comprehensive kinds of states. Two `pure'forms of induction are distinguished, enumerative and hypothesisconstruction induction. A combination of these two forms is proposedto yield a more adequate picture of induction. While the pure forms (...) ofinduction are clearly distinct from the deductive pattern, the patternof the combined form of induction is very similar to the latter. Thepresent account of scientific methods not only points out thedifferences between different methods but – in contrast to usualdiscussions of methodology – also clarifies what they have in common. (shrink)

Chaos-related obstructions to predictability have been used to challenge accounts of theory validation based on the agreement between theoretical predictions and experimental data (Rueger & Sharp, 1996. The British Journal for the Philosophy of Science, 47, 93–112; Koperski, 1998. Philosophy of Science, 40, 194–212). These challenges are incomplete in two respects: (a) they do not show that chaotic regimes are unpredictable in principle (i.e., with unbounded resources) and, as a result, that there is something conceptually wrong with idealized expectations of (...) correct predictions from acceptable theories, and (b) they do not explore whether chaos-induced predictive failures of deterministic models can be remedied by stochastic modeling. In this paper we appeal to an asymptotic analysis of state space trajectories and their numerical approximations to show that chaotic regimes are deterministically unpredictable even with unbounded resources. Additionally, we explain why stochastic models of chaotic systems, while predictively successful in some cases, are in general predictively as limited as deterministic ones. We conclude by suggesting that the way in which scientists deal with such principled obstructions to predictability calls for a more comprehensive approach to theory validation, on which experimental testing is augmented by a multifaceted mathematical analysis of theoretical models, capable of identifying chaos-related predictive failures as due to principled limitations which the world itself imposes on any less-than-omniscient epistemic access to some natural systems. (shrink)

Many scientists believe that there is a uniform, interdisciplinary method for the prac- tice of good science. The paradigmatic examples, however, are drawn from classical ex- perimental science. Insofar as historical hypotheses cannot be tested in controlled labo- ratory settings, historical research is sometimes said to be inferior to experimental research. Using examples from diverse historical disciplines, this paper demonstrates that such claims are misguided. First, the reputed superiority of experimental research is based upon accounts of scientific methodology (Baconian inductivism (...) or falsificationism) that are deeply flawed, both logically and as accounts of the actual practices of scientists. Second, although there are fundamental differences in methodology between experimental scien- tists and historical scientists, they are keyed to a pervasive feature of nature, a time asymmetry of causation. As a consequence, the claim that historical science is methodo- logically inferior to experimental science cannot be sustained. (shrink)

This classic work in the philosophy of physical science is an incisive and readable account of the scientific method. Pierre Duhem was one of the great figures in French science, a devoted teacher, and a distinguished scholar of the history and philosophy of science. This book represents his most mature thought on a wide range of topics.

The results, conclusions and claims of science are often taken to be reliable because they arise from the use of a distinctive method. Yet today, there is widespread skepticism as to whether we can validly talk of method in modern science. This outstanding survey explains how this controversy has developed since the 17th century, and explores its philosophical basis.

Reissue from the classic Muirhead Library of Philosophy series (originally published between 1890s - 1970s).

INTRODUCTION Philosophy of science is a study of the general nature of scientific practice, explanations, theories, and the relation of scientific knowledge ...

Contesting the common opinion that, unlike the problem of induction, the problem of demarcation is of little significance, the paper maintains that Popper’s criterion of falsifiability gives an irresistible answer to the question of what can be learnt from an empirical investigation. Everything follows from the rejection of inductive logic, together with the recognition that, before it can be empirically investigated, a hypothesis has to be formulated and accepted. Scientific hypotheses emerge neither a posteriori, as inductivists..

Some think that issues to do with scientific method are last century's stale debate; Popper was an advocate of methodology, but Kuhn, Feyerabend, and others are alleged to have brought the debate about its status to an end. The papers in this volume show that issues in methodology are still very much alive. Some of the papers reinvestigate issues in the debate over methodology, while others set out new ways in which the debate has developed in the last decade. The (...) book will be of interest to philosophers and scientists alike in the reassessment it provides of earlier debates about method and current directions of research. (shrink)

" Vivid . . . immense clarity . . . the product of a brilliant and extremely forceful intellect." — Journal of the Royal Naval Scientific Service "Still a sheer joy to read." — Mathematical Gazette "Should be read by any student, teacher or researcher in mathematics." — Mathematics Teacher The originator of algebraic topology and of the theory of analytic functions of several complex variables, Henri Poincare (1854–1912) excelled at explaining the complexities of scientific and mathematical ideas to lay (...) readers. Science and Method, written in 1908, has been appreciated by a wide audience of nonprofessionals and translated into many languages. It defines the basic methodology and psychology of scientific discovery, particularly in regard to mathematics and mathematical physics. Drawing on examples from many fields, it explains how scientists analyze and choose their working facts, and it explores the nature of experimentation, theory, and the mind. 1914 edition. Translated by Francis Maitland. (shrink)

Knowledge of residual perturbations in Uranus's orbit led to Neptune's discovery in 1846 rather than the refutation of Newton's law of gravitation. Karl Popper asserts that this case is untypical of science and that the law was at least prima facie falsified. I argue that these assertions are the product of a false, a priori methodological position, 'Weak Popperian Falsificationism' (WPF), and that on the evidence the law was not, and was not considered, prima facie false. Many of Popper's commentators (...) presuppose WPF and their views on this case and its implications for scientific rationality and method are similarly unwarranted or defective. (shrink)

The first part of this paper reveals a conflict between the core principles of deterministic causation and the standard method of difference, which is widely seen (and used) as a correct method of causally analyzing deterministic structures. We show that applying the method of difference to deterministic structures can give rise to causal inferences that contradict the principles of deterministic causation. The second part then locates the source of this conflict in an inference rule implemented in the method of difference (...) according to which factors that can make a difference to investigated effects relative to one particular test setup are to be identified as causes, provided the causal background of the corresponding setup is homogeneous. The paper ends by modifying the method of difference in a way that renders it compatible with the principles of deterministic causation. (shrink)

This paper investigates whether there is a discrepancy between the stated and actual aims in biomechanical research, particularly with respect to hypothesis testing. We present an analysis of one hundred papers recently published in The Journal of Experimental Biology and Journal of Biomechanics, and examine the prevalence of papers which (a) have hypothesis testing as a stated aim, (b) contain hypothesis testing claims that appear to be purely presentational (i.e. which seem not to have influenced the actual study), and (c) (...) have exploration as a stated aim. We found that whereas no papers had exploration as a stated aim, 58% of papers had hypothesis testing as a stated aim. We had strong suspicions, at the bare minimum, that presentational hypotheses were present in 31% of the papers in this latter group. (shrink)

In recent controversies about Intelligent Design Creationism (IDC), the principle of methodological naturalism (MN) has played an important role. In this paper, an often neglected distinction is made between two different conceptions of MN, each with its respective rationale and with a different view on the proper role of MN in science. According to one popular conception, MN is a self-imposed or intrinsic limitation of science, which means that science is simply not equipped to deal with claims of the supernatural (...) (Intrinsic MN or IMN). Alternatively, we will defend MN as a provisory and empirically grounded attitude of scientists, which is justified in virtue of the consistent success of naturalistic explanations and the lack of success of supernatural explanations in the history of science (Provisory MN or PMN). Science does have a bearing on supernatural hypotheses, and its verdict is uniformly negative. We will discuss five arguments that have been proposed in support of IMN: the argument from the definition of science, the argument from lawful regularity, the science stopper argument, the argument from procedural necessity, and the testability argument. We conclude that IMN, because of its philosophical flaws, proves to be an ill-advised strategy to counter the claims of IDC. Evolutionary scientists are on firmer ground if they discard supernatural explanations on purely evidential grounds, instead of ruling them out by philosophical fiat. (shrink)

Throughout more than two millennia philosophers adhered massively to ideal standards of scientific rationality going back ultimately to Aristotle’s Analytica posteriora . These standards got progressively shaped by and adapted to new scientific needs and tendencies. Nevertheless, a core of conditions capturing the fundamentals of what a proper science should look like remained remarkably constant all along. Call this cluster of conditions the Classical Model of Science . In this paper we will do two things. First of all, we will (...) propose a general and systematized account of the Classical Model of Science. Secondly, we will offer an analysis of the philosophical significance of this model at different historical junctures by giving an overview of the connections it has had with a number of important topics. The latter include the analytic-synthetic distinction, the axiomatic method, the hierarchical order of sciences and the status of logic as a science. Our claim is that particularly fruitful insights are gained by seeing themes such as these against the background of the Classical Model of Science. In an appendix we deal with the historiographical background of this model by considering the systematizations of Aristotle’s theory of science offered by Heinrich Scholz, and in his footsteps by Evert W. Beth. (shrink)

I believe that the long-neglected ideas on science and scientific method of Charles Sanders Peirce and Josiah Royce can illuminate some of the current attacks on science that have surfaced: misconduct and fraud in science and anti-scientism or the "new cynicism." In addition, Royce and Peirce offer insights relevant to the ferment in contemporary philosophy of science around the various forms of pluralism advocated by a number of philosophers (see Kellert, Longino, and Waters). "Pluralism" is the view that "plurality in (...) science possibly represents an ineliminable character of scientific inquiry and knowledge (about at least some phenomena) . . . and that analysis of metascientific concepts (like theory .. (shrink)

Humans are closely coupled with their environments. They rely on being ëembeddedí to help coordinate the use of their internal cognitive resources with external tools and resources. Consequently, everyday cognition, even cognition in the absence, may be viewed as partially distributed. As cognitive scientists our job is to discover and explain the principles governing this distribution: principles of coordination, externalization, and interaction. As designers our job is to use these principles, especially if they can be converted to metrics, in order (...) to invent and evaluate candidate designs. After discussing a few principles of interaction and embedding I discuss the usefulness of a range of metrics derived from economics, computational complexity and psychology. (shrink)

At present the basic intellectual aim of academic inquiry is to improve knowledge. Much of the structure, the whole character, of academic inquiry, in universities all over the world, is shaped by the adoption of this as the basic intellectual aim. But, judged from the standpoint of making a contribution to human welfare, academic inquiry of this type is damagingly irrational. Three of four of the most elementary rules of rational problem-solving are violated. A revolution in the aims and methods (...) of academic inquiry is needed so that the basic aim becomes to promote wisdom, conceived of as the capacity to realize what is of value, for oneself and others, thus including knowledge and technological know-how, but much else besides. This urgently needed revolution would affect every branch and aspect of the academic enterprise. (shrink)

Two great problems of learning confront humanity: first, learning about the nature of the universe and about ourselves as a part of the universe, and second, learning how to live wisely – learning how to make progress towards as good a world as possible. The first problem was solved, in essence, in the 17th century, with the creation of modern science. A method was discovered for progressively improving knowledge and understanding of the natural world, the famous empirical method of science. (...) But the second great problem of learning has not yet been solved. And this puts us in a situation of unprecedented danger. Indeed, all our current global problems can be traced back, in one way or another, to this source. Solving the first great problem of learning enormously increases our power to act, via the increase of scientific knowledge and technological know-how. But without wisdom – without a solution to the second problem of learning – our immensely increased power to act may have good consequences, but will as often as not have all sorts of harmful consequences as well, whether intended or not. In order to cope with the situation of unprecedented danger we find ourselves in, we need to learn from our solution to the first problem how to solve the second. That is, we need to learn from scientific progress how to make better social progress towards a wiser world. (shrink)

What ought to be the aims of science? How can science best serve humanity? What would an ideal science be like, a science that is sensitively and humanely responsive to the needs, problems and aspirations of people? How ought the institutional enterprise of science to be related to the rest of society? What ought to be the relationship between science and art, thought and feeling, reason and desire, mind and heart? Should the social sciences model themselves on the natural sciences: (...) or ought they to take a different form if they are to serve the interests of humanity objectively, sensitively and rigorously? Might it be possible to get into human life, into art, education, politics, industry, international affairs, and other domains of human activity, the same kind of progressive success that is found so strikingly, on the intellectual level, within science? These are some of the questions tackled by What’s Wrong With Science? But the book is no abstruse treatise on the philosophy of science. Most of it takes the form of a passionate debate between a Scientist and a Philosopher, a debate that is by turns humorous, ironical, bitter, dramatically explosive. Even as the argument explores the relationship between thought and feeling, reason and desire, the two main protagonists find it necessary to examine their own feelings and motivations. The book is a delight to read and can be understood by anyone. The book should have a wide appeal. It will be of interest to any scientist concerned about the intellectual and moral integrity of modern science – whether working in a physical, biological or social science. It will be of interest to educationalists, science teachers, students, 6th form pupils, historians, sociologists and philosophers of science, and indeed to anyone concerned about the place and role of science and technology in the modern world. First published in 1976, the book is even more relevant today than it was 33 years ago. This second edition has a new introduction in which the author explains how the book both exploits and develops Karl Popper’s philosophy. (shrink)

Even though evidence underdetermines theory, often in science one theory only is regarded as acceptable in the light of the evidence. This suggests there are additional unacknowledged assumptions which constrain what theories are to be accepted. In the case of physics, these additional assumptions are metaphysical theses concerning the comprehensibility and knowability of the universe. Rigour demands that these implicit assumptions be made explicit within science, so that they can be critically assessed and, we may hope improved. This leads to (...) a new conception of science, one which we need to adopt in order to solve the problem of induction. (shrink)

For three decades I have expounded and defended aim-oriented empiricism, a view of science which, l claim, solves a number of problems in the philosophy of science and has important implications for science itself and, when generalized, for the whole of academic inquiry, and for our capacity to solve our current global problems. Despite these claims, the view has received scant attention from philosophers of science. Recently, however, David Miller has criticized the view. Miller’s criticisms are, however, not valid.

A Mug's Game? Solving the Problem of Induction with Metaphysical Presuppositions Nicholas Maxwell Emeritus Reader in Philosophy of Science at University College London Email: nicholas.maxwell@ucl.ac.uk Website: www.nick-maxwell.demon.co.uk Abstract This paper argues that a view of science, expounded and defended elsewhere, solves the problem of induction. The view holds that we need to see science as accepting a hierarchy of metaphysical theses concerning the comprehensibility and knowability of the universe, these theses asserting less and less as we go up the hierarchy. (...) It may seem that this view must suffer from vicious circularity, in so far as accepting physical theories is justified by an appeal to metaphysical theses in turn justified by the success of science. But this is rebutted. A thesis high up in the hierarchy asserts that the universe is such that the element of circularity, just indicated, is legitimate and justified, and not vicious. Acceptance of the thesis is in turn justified without appeal to the success of science. It may seem that the practical problem of induction can only be solved along these lines if there is a justification of the truth of the metaphysical theses in question. It is argued that this demand must be rejected as it stems from an irrational conception of science. (shrink)

Steven Yates has criticized my claim that we need to bring about a revolution in the aims and methods of academic inquiry, so that the aim becomes to promote wisdom rather than just acquire knowledge. Yates's main criticism is that the proposed revolution does not have a clear strategy for its implementation, and is, in any case, Utopian, unrealizable and undesirable. It is argued, here, that Yates has misconstrued what the proposed revolution amounts to; in fact it is realizable, urgently (...) needed, and involves exploiting the kind of strategies utilized so effectively by the philosophes of the 18th century French Enlightenment. (shrink)

What kind of science – or, more generally, what kind of academic inquiry – can best contribute to the public good? Two answers are considered: knowledge-inquiry and wisdom-inquiry. The former is what we have at present. It is, however, damagingly irrational. The latter is more rigorous and, potentially, of greater value in human and intellectual terms. It arises as a result of putting the Enlightenment Programme properly into practice. We urgently need to bring about a revolution in academia, so that (...) wisdom-inquiry is put into practice. (shrink)

Two great problems of learning confront humanity: learning about the universe, and learning how to live wisely. The first problem was solved with the creation of modern science, but the second problem has not been solved. This combination puts humanity into a situation of unprecedented danger. In order to solve the second problem we need to learn from our solution to the first problem. This requires that we bring about a revolution in the overall aims and methods of academic inquiry, (...) so that it takes up its proper task of promoting wisdom. (shrink)

Neurosis can be interpreted as a methodological condition which any aim-pursuing entity can suffer from. If such an entity pursues a problematic aim B, represents to itself that it is pursuing a different aim C, and as a result fails to solve the problems associated with B which, if solved, would lead to the pursuit of aim A, then the entity may be said to be "rationalistically neurotic". Natural science is neurotic in this sense in so far as a basic (...) aim of science is represented to be to improve knowledge of factual truth as such (aim C), when actually the aim of science is to improve knowledge of explanatory truth (aim B). Science does not suffer too much from this neurosis, but philosophy of science does. Much more serious is the rationalistic neurosis of the social sciences, and of academic inquiry more generally. Freeing social science and academic inquiry from neurosis would have far reaching, beneficial, intellectual, institutional and cultural consequences. (shrink)

When scientists choose one theory over another, they reject out of hand all those that are not simple, unified or explanatory. Yet the orthodox view of science is that evidence alone should determine what can be accepted. Nicholas Maxwell thinks he has a way out of the dilemma.

Many scientists, if pushed, may be inclined to hazard the guess that the universe is comprehensible, even physically comprehensible. Almost all, however, would vehemently deny that science has already established that the universe is comprehensible. It is, nevertheless, just this that I claim to be the case. Once one gets the nature of science properly into perspective, it becomes clear that the comprehensibility of the universe is as secure an item of current scientific knowledge as anything theoretical in science can (...) be, more secure, indeed, than the most firmly established fundamental theories of physics, such as quantum theory or Einstein's general theory of relativity. (shrink)

Our world is beset with appalling problems. To solve these urgent, intractable global problems it is not new scientific knowledge and technology that we need so much as new actions: new policies, new international relations, new institutions and social arrangements, new ways of living. The mere provision of scientific know-ledge and technological know-how cannot help much: indeed, all too often it actually makes matters worse. The dreadful truth is that science has played a crucial role, often unwittingly, in the creation (...) of our problems. To solve our problems we certainly need to learn, but what we need to learn is not so much new knowledge as new actions—new, more cooperative, wiser ways of living. Above all, we need to learn how to resolve our conflicts in more just, humane and rationally cooperative ways. This in turn requires that we create new institutions and traditions of learning, rationally devoted to helping us to learn how to become more cooperative and wise. We need a new kind of academic enterprise, all over the world, which takes as its basic task to promote not just knowledge, but rather wisdom—wisdom being defined as the capacity to solve problems of living so as to achieve what is of value, for oneself and others (wisdom thus including but going beyond knowledge). (shrink)

This is an unpublished talk written for a meeting of French philosophers. The paper describes the evolution versus creationism/intelligent design controversy in the U.S. A number of philosophers and scientists try to resolve this issue by sharply distinguishing the realm of science versus any talk of the supernatural. These pro-evolutionists often appeal to science's essential commitment to "methodological naturalism," the view that scientific methodology is essentially committed to naturalism and cannot meaningfully entertain hypotheses concerning the supernatural. I criticize methodological naturalism, (...) suggesting that such an appeal is misguided and counterproductive. I suggest an alternative view of the supernatural consistent with scientific knowledge. (shrink)

Evolutionary Developmental Biology (Evo-Devo) is philosophically fascinating because of its plurality of scientific “cultures” of practice and theory that continue making progress towards a better understanding of complex biological reality. In this chapter, through an examination of a variety of the scientific cultures pertinent to Evo-Devo, I show that Evo-Devo can be usefully understood as a /trading zone/ (Galison 1997). That is, a variety of disciplines, styles, and paradigms negotiate heavily with each other in the domain of Evo-Devo. I am (...) concerned with the differences, the interactions, and the relative openness and flexibility of these cultures. When are the cultures acting—individually or collectively—in ways that further research, empirically, theoretically, and ethically? When do they become imperialistic, in the sense of excluding and subordinating other cultures? I wish to develop a critical /assumption archeology/ (my term, following Michel Foucault, Ian Hacking, and Michael Friedman), which explores some of the key presuppositions standing behind or under or within each of these cultures. These assumptions ground the concepts, methods, and models of each culture. The goal of this chapter is to identify six cultures of Evo-Devo (three styles and three paradigms), and provide an initial archeology of their internal structure, and mutual relations, through the concept of trading zone. My main excavation site is Bonner (1982), founding text of Evo-Devo and product of the 1981 Dahlem “Evolution and Development” workshop, on which this 2011 anthology (and workshop) was also based. (shrink)

Analytical categories of scientific cultures have typically been used both exclusively and universally. For instance, when /styles of scientific research/ are employed in attempts to understand and narrate science, styles alone are usually employed. This article is a thought experiment in interweaving categories. What would happen if rather than employ a single category, we instead investigated several categories simultaneously? What would we learn about the practices and theories, the agents and materials, and the political-technological impact of science if we analyzed (...) and applied styles (à la Hacking and Crombie), paradigms (à la Kuhn), and models (à la van Fraassen and Cartwright) simultaneously? I address these questions in general and for a specific case study: /a brief history of systematics/. (shrink)

A scientific explanatory project, part-whole explanation, and a kind of science, part-whole science are premised on identifying, investigating, and using parts and wholes. In the biological sciences, mechanistic, structuralist, and historical explanations are part-whole explanations. Each expresses different norms, explananda, and aims. Each is associated with a distinct partitioning frame for abstracting kinds of parts. These three explanatory projects can be complemented in order to provide an integrative vision of the whole system, as is shown for a detailed case study: (...) the tetrapod limb. My diagnosis of part-whole explanation in the biological sciences as well as in other domains exploring evolved, complex, and integrated systems (e.g., psychology and cognitive science) cross-cuts standard philosophical categories of explanation: causal explanation and explanation as unification. Part-whole explanation is itself one essential aspect of part-whole science. (shrink)

Is there a universal set of rules for discovering and testing scientific hypotheses? Since the birth of modern science, philosophers, scientists, and other thinkers have wrestled with this fundamental question of scientific practice. Efforts to devise rigorous methods for obtaining scientific knowledge include the twenty-one rules Descartes proposed in his Rules for the Direction of the Mind and the four rules of reasoning that begin the third book of Newton's Principia , and continue today in debates over the very possibility (...) of such rules. Bringing together key primary sources spanning almost four centuries, Science Rules introduces readers to scientific methods that have played a prominent role in the history of scientific practice. Editor Peter Achinstein includes works by scientists and philosophers of science to offer a new perspective on the nature of scientific reasoning. For each of the methods discussed, he presents the original formulation of the method selections written by a proponent of the method together with an application to a particular scientific example and a critical analysis of the method that draws on historical and contemporary sources. The methods included in this volume are Cartesian rationalism with an application to Descartes' laws of motion Newton's inductivism and the law of gravity two versions of hypothetico-deductivism -- those of William Whewell and Karl Popper -- and the nineteenth-century wave theory of light Paul Feyerabend's principle of proliferation and Thomas Kuhn's views on scientific values, both of which deny that there are universal rules of method, with an application to Galileo's tower argument. Included also is a famous nineteenth-century debate about scientific reasoning between the hypothetico-deductivist William Whewell and the inductivist John Stuart Mill and an account of the realism-antirealism dispute about unobservables in science, with a consideration of Perrin's argument for the existence of molecules in the early twentieth century. (shrink)

The received view of an ad hochypothesis is that it accounts for only the observation(s) it was designed to account for, and so non-ad hocness is generally held to be necessary or important for an introduced hypothesis or modification to a theory. Attempts by Popper and several others to convincingly explicate this view, however, prove to be unsuccessful or of doubtful value, and familiar and firmer criteria for evaluating the hypotheses or modified theories so classified are characteristically available. These points (...) are obscured largely because the received view fails to adequately separate psychology from methodology or to recognise ambiguities in the use of ''ad hoc''. (shrink)

The first part of this paper shows that Qualitative Comparative Analysis (QCA)--also in its most recent forms as presented in Ragin (2000, 2008)--, does not correctly analyze data generated by causal chains, which, after all, are very common among causal processes in the social sciences. The incorrect modeling of data originating from chains essentially stems from QCA’s reliance on Quine-McCluskey optimization to eliminate redundancies from sufficient and necessary conditions. Baumgartner (2009a,b) has introduced a Boolean methodology, termed Coincidence Analysis (CNA), that (...) is related to QCA, yet, contrary to the latter, does not eliminate redundancies by means of Quine-McCluskey optimization. The second part of the paper applies CNA to chain-generated data. It will turn out that CNA successfully detects causal chains in small-N data. (shrink)

While standard procedures of causal reasoning as procedures analyzing causal Bayesian networks are custom-built for (non-deterministic) probabilistic structures, this paper introduces a Boolean procedure that uncovers deterministic causal structures. Contrary to existing Boolean methodologies, the procedure advanced here successfully analyzes structures of arbitrary complexity. It roughly involves three parts: first, deterministic dependencies are identified in the data; second, these dependencies are suitably minimalized in order to eliminate redundancies; and third, one or—in case of ambiguities—more than one causal structure is assigned (...) to the minimalized deterministic dependencies. (shrink)

This chapter explores the idea that causal inference is warranted if and only if the mechanism underlying the inferred causal association is identified. This mechanistic stance is discernible in the epidemiological literature, and in the strategies adopted by epidemiologists seeking to establish causal hypotheses. But the exact opposite methodology is also discernible, the black box stance, which asserts that epidemiologists can and should make causal inferences on the basis of their evidence, without worrying about the mechanisms that might underlie their (...) hypotheses. I argue that the mechanistic stance is indeed a bad methodology for causal inference. However, I detach and defend a mechanistic interpretation of causal generalisations in epidemiology as existence claims about underlying mechanisms. (shrink)

Current philosophical reflections on science have departed from mainstream history of science with respect to both methodology and conclusions. The article investigates how different approaches to reconstructing commitments can explain these differences and facilitate a mutual understanding and communication of these two perspectives on science. Translating the differences into problems pertaining to principles of charity, the paper offers a platform for clarification and resolution of the differences between the two perspectives. The outlined contextual approach occupies a middle ground between mainstream (...) history and sociology of science, bracketing questions of rationality, and individual coherence-maximizing, rationality-centered approaches. It can satisfy those, who believe that science is an epistemically privileged endeavor, and its epistemic content should not be neglected when reconstructing the scientists’ positions. It can also satisfy those who hold that it is naive to believe that the immediate context, e.g. the challenges to a theory, the expectations of the author about his audience, etc., does not affect the position a scientist takes. Its theoretical considerations are exemplified with a close study of the debate following the 1672 publication of Newton's theory of light and colours, also offering a novel reading of the development of his methodological views concerning the demonstrativity of the famous crucial experiment. Although we only show the capacity of the framework to analyze a direct controversy, given that it is hard to think about any scientific text as detached from an argumentative context, this approach has the potential to be a general guide for interpretation. (shrink)

This is a review essay of what is probably the best contribution to the history of the philosophical investigation into thought experiments.

Simulation techniques, especially those implemented on a computer, are frequently employed in natural as well as in social sciences with considerable success. There is mounting evidence that the "model-building era" (J. Niehans) that dominated the theoretical activities of the sciences for a long time is about to be succeeded or at least lastingly supplemented by the "simulation era". But what exactly are models? What is a simulation and what is the difference and the relation between a model and a simulation? (...) These are some of the questions addressed in this article. I maintain that the most significant feature of a simulation is that it allows scientists to imitate one process by another process. "Process" here refers solely to a temporal sequence of states of a system. Given the observation that processes are dealt with by all sorts of scientists, it is apparent that simulations prove to be a powerful interdisciplinarily acknowledged tool. Accordingly, simulations are best suited to investigate the various research strategies in different sciences more carefully. To this end, I focus on the function of simulations in the research process. Finally, a somewhat detailed case-study from nuclear physics is presented which, in my view, illustrates elements of a typical simulation in physics. (shrink)

The first part of this paper reveals a conflict between the core principles of deterministic causation and the standard method of difference, which is widely seen (and used) as a correct method of causally analyzing deterministic structures. We show that applying the method of difference to deterministic structures can give rise to causal inferences that contradict the principles of deterministic causation. The second part then locates the source of this conflict in an inference rule implemented in the method of difference (...) according to which factors that can make a difference to investigated effects relative to one particular test setup are to be identified as causes, provided the causal background of the corresponding setup is homogeneous. The paper ends by modifying the method of difference in a way that renders it compatible with the principles of deterministic causation. (shrink)

Increasingly encompassing models have been suggested for our world. Theories range from generally accepted to increasingly speculative to apparently bogus. The progression of theories from ego- to geo- to helio-centric models to universe and multiverse theories and beyond was accompanied by a dramatic increase in the sizes of the postulated worlds, with humans being expelled from their center to ever more remote and random locations. Rather than leading to a true theory of everything, this trend faces a turning point after (...) which the predictive power of such theories decreases (actually to zero). Incorporating the location and other capacities of the observer into such theories avoids this problem and allows to distinguish meaningful from predictively meaningless theories. This also leads to a truly complete theory of everything consisting of a (conventional objective) theory of everything plus a (novel subjective) observer process. The observer localization is neither based on the controversial anthropic principle, nor has it anything to do with the quantum-mechanical observation process. The suggested principle is extended to more practical (partial, approximate, probabilistic, parametric) world models (rather than theories of everything). Finally, I provide a justification of Ockham's razor, and criticize the anthropic principle, the doomsday argument, the no free lunch theorem, and the falsifiability dogma.", . (shrink)

We are in a state of impending crisis. And the fault lies in part with academia. For two centuries or so, academia has been devoted to the pursuit of knowledge and technological know-how. This has enormously increased our power to act which has, in turn, brought us both all the great benefits of the modern world and the crises we now face. Modern science and technology have made possible modern industry and agriculture, the explosive growth of the world’s population, global (...) warming, modern armaments and the lethal character of modern warfare, destruction of natural habitats and rapid extinction of species, immense inequalities of wealth and power across the globe, pollution of earth, sea and air, even the aids epidemic (aids being spread by modern travel). All these global problems have arisen because some of us have acquired unprecedented powers to act, via science and technology, without also acquiring the capacity to act wisely. We urgently need to bring about a revolution in universities so that the basic intellectual aim becomes, not knowledge merely, but rather wisdom – wisdom being the capacity to realize what is of value in life, for oneself and others, thus including knowledge and technological know-how, but much else besides. (shrink)

Universities need to change dramatically in order to help humanity make progress towards as good a world as possible.

In this article I reply to comments made by Agustin Vicente and Giridhari Lal Pandit on Science and the Pursuit of Wisdom (McHenry 2009 ). I criticize analytic philosophy, go on to expound the argument for the need for a revolution in academic inquiry so that the basic aim becomes wisdom and not just knowledge, defend aim-oriented empiricism, outline my solution to the human world/physical universe problem, and defend the thesis that free will is compatible with physicalism.

At present the basic intellectual aim of academic inquiry is to improve knowledge. Much of the structure, the whole character, of academic inquiry, in universities all over the world, is shaped by the adoption of this as the basic intellectual aim. But, judged from the standpoint of making a contribution to human welfare, academic inquiry of this type is damagingly irrational. Three of four of the most elementary rules of rational problem-solving are violated. A revolution in the aims and methods (...) of academic inquiry is needed so that the basic aim becomes to promote wisdom, conceived of as the capacity to realize what is of value, for oneself and others, thus including knowledge and technological know-how, but much else besides. This urgently needed revolution would affect every branch and aspect of the academic enterprise. (shrink)

Two great problems of learning confront humanity: first, learning about the nature of the universe and about ourselves as a part of the universe, and second, learning how to live wisely – learning how to make progress towards as good a world as possible. The first problem was solved, in essence, in the 17th century, with the creation of modern science. A method was discovered for progressively improving knowledge and understanding of the natural world, the famous empirical method of science. (...) But the second great problem of learning has not yet been solved. And this puts us in a situation of unprecedented danger. Indeed, all our current global problems can be traced back, in one way or another, to this source. Solving the first great problem of learning enormously increases our power to act, via the increase of scientific knowledge and technological know-how. But without wisdom – without a solution to the second problem of learning – our immensely increased power to act may have good consequences, but will as often as not have all sorts of harmful consequences as well, whether intended or not. In order to cope with the situation of unprecedented danger we find ourselves in, we need to learn from our solution to the first problem how to solve the second. That is, we need to learn from scientific progress how to make better social progress towards a wiser world. (shrink)

Here is an idea that just might save the world. It is that science, properly understood, provides us with the methodological key to the salvation of humanity.

There are these two absolutely basic problems: to learn about the universe and ourselves as a part of the universe, and to learn how to create a civilized world. Essentially, we have solved the first problem. We solved it when we created modern science. That is not to say that we know everything that is to be known, but we created a method for improving our knowledge about the world. But we haven't solved the second problem. And to solve the (...) first problem without solving the second problem is very, very dangerous. The crisis is this: the crisis of having science without civlization. (shrink)

What ought to be the aims of science? How can science best serve humanity? What would an ideal science be like, a science that is sensitively and humanely responsive to the needs, problems and aspirations of people? How ought the institutional enterprise of science to be related to the rest of society? What ought to be the relationship between science and art, thought and feeling, reason and desire, mind and heart? Should the social sciences model themselves on the natural sciences: (...) or ought they to take a different form if they are to serve the interests of humanity objectively, sensitively and rigorously? Might it be possible to get into human life, into art, education, politics, industry, international affairs, and other domains of human activity, the same kind of progressive success that is found so strikingly, on the intellectual level, within science? These are some of the questions tackled by What’s Wrong With Science? But the book is no abstruse treatise on the philosophy of science. Most of it takes the form of a passionate debate between a Scientist and a Philosopher, a debate that is by turns humorous, ironical, bitter, dramatically explosive. Even as the argument explores the relationship between thought and feeling, reason and desire, the two main protagonists find it necessary to examine their own feelings and motivations. The book is a delight to read and can be understood by anyone. The book should have a wide appeal. It will be of interest to any scientist concerned about the intellectual and moral integrity of modern science – whether working in a physical, biological or social science. It will be of interest to educationalists, science teachers, students, 6th form pupils, historians, sociologists and philosophers of science, and indeed to anyone concerned about the place and role of science and technology in the modern world. First published in 1976, the book is even more relevant today than it was 33 years ago. This second edition has a new introduction in which the author explains how the book both exploits and develops Karl Popper’s philosophy. (shrink)

The suggestion that philosophers are responsible for global warming seems, on the face of it, absurd. However, that we might cause global warming has been known for over a century. If we had had in existence a more rigorous kind of academic inquiry devoted to promoting human welfare, giving priority to problems of living, humanity might have become aware of the dangers of global warming long ago, and might have taken steps to meet these dangers decades ago. That we do (...) not have academic inquiry of this type, giving priority to problems of living and able to warn humanity of the impending disaster of global warming, is the result of a philosophical mistake – a mistake about what constitutes rigorous intellectual inquiry. This is a mistake of philosophers. Thus philosophers, in failing to grasp the profound intellectual and humanitarian failings of academia as it is at present organized (the outcome of implementing a seriously defective philosophy of inquiry) can perhaps be said to be responsible for global warming. (shrink)

From Knowledge to Wisdom argues that there is an urgent need, for both intellectual and humanitarian reasons, to bring about a revolution in science and the humanities. The outcome would be a kind of academic inquiry rationally devoted to helping humanity learn how to create a better world. Instead of giving priority to solving problems of knowledge, as at present, academia would devote itself to helping us solve our immense, current global problems – climate change, war, poverty, population growth, pollution (...) of sea, earth and air, destruction of natural habitats and rapid extinction of species, injustice, tyranny, proliferation of armaments, conventional, chemical, biological and nuclear, depletion of natural resources. The basic intellectual aim of inquiry would be to seek and promote wisdom – wisdom being the capacity to realize what is of value in life for oneself and others, thus including knowledge and technological know-how, but much else besides. This second edition has been revised throughout, has additional material, a new introduction and three new chapters. (shrink)

From Knowledge to Wisdom argues that there is an urgent need, for both intellectual and humanitarian reasons, to bring about a revolution in science and the humanities. The outcome would be a kind of academic inquiry rationally devoted to helping humanity learn how to create a better world. Instead of giving priority to solving problems of knowledge, as at present, academia would devote itself to helping us solve our immense, current global problems – climate change, war, poverty, population growth, pollution... (...) of sea, earth and air, destruction of natural habitats and rapid extinction of species, injustice, tyranny, proliferation of armaments, conventional, chemical, biological and nuclear, depletion of natural resources. The basic intellectual aim of inquiry would be to seek and promote wisdom – wisdom being the capacity to realize what is of value in life for oneself and others, thus including knowledge and technological know-how, but much else besides. This second edition has been revised throughout, has additional material, a new introduction and three new chapters. (shrink)

Even though evidence underdetermines theory, often in science one theory only is regarded as acceptable in the light of the evidence. This suggests there are additional unacknowledged assumptions which constrain what theories are to be accepted. In the case of physics, these additional assumptions are metaphysical theses concerning the comprehensibility and knowability of the universe. Rigour demands that these implicit assumptions be made explicit within science, so that they can be critically assessed and, we may hope improved. This leads to (...) a new conception of science, one which we need to adopt in order to solve the problem of induction. (shrink)

For three decades I have expounded and defended aim-oriented empiricism, a view of science which, l claim, solves a number of problems in the philosophy of science and has important implications for science itself and, when generalized, for the whole of academic inquiry, and for our capacity to solve our current global problems. Despite these claims, the view has received scant attention from philosophers of science. Recently, however, David Miller has criticized the view. Miller’s criticisms are, however, not valid.

Popper first developed his theory of scientific method – falsificationism – in his The Logic of Scientific Discovery, then generalized it to form critical rationalism, which he subsequently applied to social and political problems in The Open Society and Its Enemies. All this can be regarded as constituting a major development of the 18th century Enlightenment programme of learning from scientific progress how to achieve social progress towards a better world. Falsificationism is, however, defective. It misrepresents the real, problematic aims (...) of science. We need a new conception of scientific method, a meta-methodology which provides a framework for the improvement of the aims and methods of science as scientific knowledge improves. This aim-oriented empiricist idea can be generalized to form a conception of rationality – aim-oriented rationality – which helps us improve problematic aims and methods whatever we may be doing. In this way, Popper’s version of the Enlightenment programme can be much improved, indeed transformed. (shrink)

In this paper I argue that aim-oriented empiricism (AOE), a conception of natural science that I have defended at some length elsewhere, is a kind of synthesis of the views of Popper, Kuhn and Lakatos, but is also an improvement over the views of all three. Whereas Popper's falsificationism protects metaphysical assumptions implicitly made by science from criticism, AOE exposes all such assumptions to sustained criticism, and furthermore focuses criticism on those assumptions most likely to need revision if science is (...) to make progress. Even though AOE is, in this way, more Popperian than Popper, it is also, in some respects, more like the views of Kuhn and Lakatos than falsificationism is. AOE is able, however, to solve problems which Kuhn's and Lakatos's views cannot solve. (shrink)

Science has been under attack ever since William Blake and Romantic movement. In our time, criticisms of modern science have led to Alan Sokal's spoof, and the so-called science wars. Both sides missed the point. Science deserves to be criticized for seriously misrepresenting its highly problematic aims, which have metaphysical, value and political assumptions associated with them. Instead of repressing these problematic aims, science ought rather to make them explicit, so that they can be critically assessed and, we may hope, (...) improved. (shrink)

Steven Yates has criticized my claim that we need to bring about a revolution in the aims and methods of academic inquiry, so that the aim becomes to promote wisdom rather than just acquire knowledge. Yates's main criticism is that the proposed revolution does not have a clear strategy for its implementation, and is, in any case, Utopian, unrealizable and undesirable. It is argued, here, that Yates has misconstrued what the proposed revolution amounts to; in fact it is realizable, urgently (...) needed, and involves exploiting the kind of strategies utilized so effectively by the philosophes of the 18th century French Enlightenment. (shrink)

Is Science Neurotic? sets out to show that science suffers from a damaging but rarely noticed methodological disease — “rationalistic neurosis.” Assumptions concerning metaphysics, human value and politics, implicit in the aims of science, are repressed, and the malaise has spread to affect the whole academic enterprise, with the potential for extraordinarily damaging long-term consequences. The book begins with a discussion of the aims and methods of natural science, and moves on to discuss social science, philosophy, education, psychoanalytic theory and (...) academic inquiry as a whole. It makes an original and compelling contribution to the current debate between those for and those against science, arguing that science would be of greater human value if it were more rigorous — we suffer not from too much scientific rationality, but too little. The author discusses the need for a revolution in the aims of science and academic inquiry in general and, in a lively and accessible style, spells out a thesis with profound importance for the long-term future of humanity. (shrink)

Two great problems of learning confront humanity: learning about the universe, and learning how to live wisely. The first problem was solved with the creation of modern science, but the second problem has not been solved. This combination puts humanity into a situation of unprecedented danger. In order to solve the second problem we need to learn from our solution to the first problem. This requires that we bring about a revolution in the overall aims and methods of academic inquiry, (...) so that it takes up its proper task of promoting wisdom. (shrink)

Neurosis can be interpreted as a methodological condition which any aim-pursuing entity can suffer from. If such an entity pursues a problematic aim B, represents to itself that it is pursuing a different aim C, and as a result fails to solve the problems associated with B which, if solved, would lead to the pursuit of aim A, then the entity may be said to be "rationalistically neurotic". Natural science is neurotic in this sense in so far as a basic (...) aim of science is represented to be to improve knowledge of factual truth as such (aim C), when actually the aim of science is to improve knowledge of explanatory truth (aim B). Science does not suffer too much from this neurosis, but philosophy of science does. Much more serious is the rationalistic neurosis of the social sciences, and of academic inquiry more generally. Freeing social science and academic inquiry from neurosis would have far reaching, beneficial, intellectual, institutional and cultural consequences. (shrink)

When scientists choose one theory over another, they reject out of hand all those that are not simple, unified or explanatory. Yet the orthodox view of science is that evidence alone should determine what can be accepted. Nicholas Maxwell thinks he has a way out of the dilemma.

Many scientists, if pushed, may be inclined to hazard the guess that the universe is comprehensible, even physically comprehensible. Almost all, however, would vehemently deny that science has already established that the universe is comprehensible. It is, nevertheless, just this that I claim to be the case. Once one gets the nature of science properly into perspective, it becomes clear that the comprehensibility of the universe is as secure an item of current scientific knowledge as anything theoretical in science can (...) be, more secure, indeed, than the most firmly established fundamental theories of physics, such as quantum theory or Einstein's general theory of relativity. (shrink)

In order to create a good world, we need to learn how to do it - how to resolve our appalling problems and conflicts in more cooperative ways than at present. And in order to do this, we need traditions and institutions of learning rationally devoted to this end. When viewed from this standpoint, what we have at present - academic inquiry devoted to the pursuit of knowledge and technological know-how - is an intellectual and human disaster. We urgently need (...) a new, more rigorous kind of inquiry that gives intellectual priority to the tasks of articulating our problems of living and proposing and critically assessing possible cooperative solutions. This new kind of inquiry would have as its basic aim to improve, not just knowledge, but also personal and global wisdom - wisdom being understood to be the capacity to realize what is of value in life. To develop this new kind of inquiry we will need to change almost every branch and aspect of the academic enterprise. (shrink)

In order to make progress with solving our grave global problems we need to bring about a revolution in academia so that problems of living are given intellectual priority, and the basic intellectual aim becomes to seek and promote wisdom, and not just acquire knowledge.

According to general wisdom, Carnap's quasianalysis is an ingenious but definitively flawed approach to epistemology and philosophy of science. I argue that this assessment is mistaken. Rather, Carnapian quasianalysis can be reconstructed as a special case of a general theory of structural representation. This enables us to exploit some interesting analogies of quasianalysis with the representational theory of measurement. It is shown how Goodman's well-known objections against the quasianalytical approach may be defused in the new framework. As an application, I (...) sketch how the thesis of empirical underdetermination of theories may be elucidated in the framework of quasianalysis. (shrink)

It is sometimes said that simulation can serve as epistemic substitute for experimentation. Such a claim might be suggested by the fast-spreading use of computer simulation to investigate phenomena not accessible to experimentation (in astrophysics, ecology, economics, climatology, etc.). But what does that mean? The paper starts with a clarification of the terms of the issue and then focuses on two powerful arguments for the view that simulation and experimentation are ‘epistemically on a par’. One is based on the claim (...) that, in experimentation, no less than in simulation, it is not the system under study that is manipulated but a system that ‘stands-in’ for it. The other one highlights the pervasive use of models in experimentation. It will be argued that these arguments, as compelling as they might seem, are each based on a mistaken interpretation of experimentation and that, far from simulation and experimentation being epistemically on a par, they do not have the same epistemic function, do not produce the same kind of epistemic results. (shrink)

Epistemic divergence occurs when different investigators give different answers to the same question using evidence-collecting methods that are not public. Without following the principle that scientific methods must be public, scientific communities risk epistemic divergence. I explicate the notion of public method and argue that, to avoid the risk of epistemic divergence, scientific communities should (and do) apply only methods that are public.

Peter Lipton has attempted to flesh out a model of Inference to the Best Explanation (IBE) by clarifying explanation in terms of a causal model. But Lipton's account of explanation makes an adequate explanation depend on a principle which is virtually identical to Mill's Method of Difference. This has the result of collapsing IBE on Lipton's account of it into causal inference as conceived by the Causal-Inference model of induction. According to this model, many of our inductions are inferences from (...) effects to their probable causes, and Mill's Methods are canons to guide such inferences. Thus, Lipton's account of IBE fails to represent an advance over the already familiar Causal-Inference Model of induction. (shrink)

In this piece, I advocate and motivate a new understanding of thought experiments, which avoids problems with the rival accounts of Brown and Norton.

This paper explores the relationship between scepticism and epistemic relativism in the context of recent history and philosophy of science. More specifically, it seeks to show that significant treatments of epistemic relativism by influential figures in the history and philosophy of science draw upon the Pyrrhonian problem of the criterion. The paper begins with a presentation of the problem of the criterion as it occurs in the work of Sextus Empiricus. It is then shown that significant treatments of epistemic relativism (...) in recent history and philosophy of science (critical rationalism, historical philosophy of science and the strong programme) draw upon the problem of the criterion. It is briefly suggested that a particularist response to the problem of the criterion may be put to good use against epistemic relativism. (shrink)

Science is epistemically special, or so I will assume: it is better able to produce knowledge about the workings of the world than other knowledge-directed pursuits. Further, its superior epistemic powers are due to its being in some sense especially empirical: in particular, science puts great weight on a form of inductive reasoning that I call empirical con rmation. My aim in this paper is to investigate the nature of science’s “empiricism”, and to provide a preliminary explanation of the connection (...) between empirical confirmation and epistemic efficacy. I will try to convince you that the place to find an account of empirical confirmation is the dusty, long-neglected instantialist account of scientific inference offered by mid-century logical empiricists. Some revision of instantialism will be required. As for what is advantageous in empirical confirmation, I propose that it is an unusual degree of independence from background belief. (shrink)

A theme of much work taking an ““economic approach”” to the study of science is the interaction between the norms of individual scientists and those of society at large. Though drawing from the same suite of formal methods, proponents of the economic approach offer what are in substantive terms profoundly different explanations of various aspects of the structure of science. The differences are illustrated by comparing Strevens's explanation of the scientific reward system (the ““priority rule””) with Max Albert's explanation of (...) the prevalence of ““high methodological standards”” in science. Some objections to the economic approach as a whole are then briefly considered. (shrink)

Robert Merton observed that better-known scientists tend to get more credit than less well-known scientists for the same achievements; he called this the Matthew effect. Scientists themselves, even those eminent researchers who enjoy its benefits, regard the effect as a pathology: it results, they believe, in a misallocation of credit. If so, why do scientists continue to bestow credit in the manner described by the effect? This paper advocates an explanation of the effect on which it turns out to allocate (...) credit fairly after all, while at the same time making sense of scientists' opinions to the contrary. (shrink)

Science's priority rule rewards those who are first to make a discovery, at the expense of all other scientists working towards the same goal, no matter how close they may be to making the same discovery. I propose an explanation of the priority rule that, better than previous explanations, accounts for the distinctive features of the rule. My explanation treats the priority system, and more generally, any scheme of rewards for scientific endeavor, as a device for achieving an allocation of (...) resources among different research programs that provides as much benefit as possible to society. I show that the priority system is especially well suited to finding an efficient allocation of resources in those situations, characteristic of scientific inquiry, in which any success in an endeavor subsequent to the first success brings little additional benefit to society. (shrink)

This paper justifies the inference of probabilities from symmetries. I supply some examples of important and correct inferences of this variety. Two explanations of such inferences -- an explanation based on the Principle of Indifference and a proposal due to Poincaré and Reichenbach -- are considered and rejected. I conclude with my own account, in which the inferences in question are shown to be warranted a posteriori, provided that they are based on symmetries in the mechanisms of chance setups.