The essays in this volume address three fundamental questions in the philosophy of science: What is required for some fact to be evidence for a scientific ...

The book is a translation of the second edition of a much-used and research-based Chinese textbook. As a succinct and issue-based introduction to the Western philosophy of science, the book brings eight focal issues in the field to the fore and offers a helpful addition to the topics by incorporating Chinese perspectives on these issues. Followed by an overview of the historical framework and logical underpinnings of philosophy of science, the book thoroughly discusses eight issues in the discipline: (...) (1) the criteria of cognitive meaning, (2) induction and confirmation, (3) scientific explanation, (4) theories of scientific growth, (5) demarcation between science and pseudoscience, (6) scientific realism and empiricism; (7) philosophy of scientific experimentation, (8) science and value. Not confined to Western mainstream discourse in this field, the book also introduces voices of Chinese philosophers of note and adopts a stance productively combining logical empiricism and Kuhnianism, both of which are underrated by a host of English textbooks. In the final chapter the author offers a prognosis regarding the future of the discipline based on recent trends. This book will be valued by students who study philosophy of science and hope to gain a better understanding of science and technology. (shrink)

The book is a translation of the second edition of a much-used and research-based Chinese textbook. As a succinct and issue-based introduction to the Western philosophy of science, the book brings eight focal issues in the field to the fore and augments each topic by incorporating Chinese perspectives. Followed by an overview of the historical framework and logical underpinnings of the philosophy of science, the book thoroughly discusses eight issues in the discipline: the criteria of cognitive meaning, induction (...) and confirmation, scientific explanation, theories of scientific growth, the demarcation between science and pseudoscience, scientific realism and empiricism; the philosophy of scientific experimentation, science and value. Not confined to Western mainstream discourse in this field, the book also introduces voices of Chinese philosophers of note and adopts a stance that productively combines logical empiricism and Kuhnianism, both of which tend to be covered in less detail by many English language textbooks. In the final chapter the author offers a prognosis regarding the future of the discipline based on recent trends. This book will be of value to students who study philosophy of science and hope to gain a better understanding of science and technology. (shrink)

In this, the first book devoted to Peter Achinstein's influential work in philosophy of science, twenty distinguished philosophers, including four Lakatos award winners, address various aspects of Achinstein's influential views on the nature of scientific evidence, scientific explanation, and scientific realism. It includes short essays by Steve Gimbel and Jeff Maynes, Nancy Cartwright, Jordi Cat, Victor DiFate, Jerry Doppelt, Adam Goldstein, Philip Kitcher, Fred Kronz, Deborah Mayo, Greg Morgan, Helen Longino, John Norton, Michael Ruse, Bas (...) van Fraassen, Stathis Psillos, Larry Laudan, Richard Richards, Kent Staley, and Jim Woodward with replies to each contributor from Peter Achinstein. Readers will come away with an understanding of the current debate in multiple areas of philosophy of science and how various contemporary issues are connected. (shrink)

Scientific understanding was a rather neglected topic in philosophy of science, despite its association with the well-known explanation subject. The classical position on explanation considered an approach on understanding to be redundant on one on explanation. Besides, the dominant view promoted by the unificationist approach on explanation conceived understanding as a “global affair”, as Friedman called it, of scientific knowledge. The recent developments in philosophy of science redirected the research to more local aspects of science and (...) scientific inquiry. This new context calls for a reconsideration of the possibility of approaching understanding under different perspectives than the old one. I will try to identify some points of this reconsideration using as reference the frame of an influential tendency in today’s philosophy of science - the modelistic view. (shrink)

Resumen El artículo se estructura en torno a dos ejes: la concepción de la filosofía como una actividad extremadamente recursiva en su aplicación al saber científico, a la ética y a la pedagogía; la discusión en torno al realismo y al papel que le cabe a las representaciones en la explicación de la cognición. Se pone énfasis en mostrar la plausibilidad de los enfoques antirrepresentacionistas o constructivistas en las ciencias cognitivas, en la medida que estos enfoques pretenden superar las limitaciones (...) y prejuicios que son propios de los enfoques computacionalistas y conexionistas que le precedieron.This paper consists of two main topics: the conception of philosophy as an extremely recursive activity applied to scientific, ethics and educational knowledge; the discussion about realism and the role of the representations in the explanation of cognition. The validity of the anti-representationism or constructivist-based perspectives, is highlighted in Cognitive Sciences where these pretend to overcome the limitations and prejudices that belong to the previous computacionalism and connectionism perspectives. (shrink)

How does science work? Does it tell us what the world is "really" like? What makes it different from other ways of understanding the universe? In Theory and Reality , Peter Godfrey-Smith addresses these questions by taking the reader on a grand tour of one hundred years of debate about science. The result is a completely accessible introduction to the main themes of the philosophy of science. Intended for undergraduates and general readers with no prior background in philosophy, (...) Theory and Reality covers logical positivism the problems of induction and confirmation Karl Popper's theory of science Thomas Kuhn and "scientific revolutions" the views of Imre Lakatos, Larry Laudan, and Paul Feyerabend and challenges to the field from sociology of science, feminism, and science studies. The book then looks in more detail at some specific problems and theories, including scientific realism, the theory-ladeness of observation, scientific explanation, and Bayesianism. Finally, Godfrey-Smith defends a form of philosophical naturalism as the best way to solve the main problems in the field. Throughout the text he points out connections between philosophical debates and wider discussions about science in recent decades, such as the infamous "science wars." Examples and asides engage the beginning student a glossary of terms explains key concepts and suggestions for further reading are included at the end of each chapter. However, this is a textbook that doesn't feel like a textbook because it captures the historical drama of changes in how science has been conceived over the last one hundred years. Like no other text in this field, Theory and Reality combines a survey of recent history of the philosophy of science with current key debates in language that any beginning scholar or critical reader can follow. (shrink)

This introduction to the philosophy of social science provides an original conception of the task and nature of social inquiry. Peter Manicas discusses the role of causality seen in the physical sciences and offers a reassessment of the problem of explanation from a realist perspective. He argues that the fundamental goal of theory in both the natural and social sciences is not, contrary to widespread opinion, prediction and control, or the explanation of events. Instead, theory aims to provide an (...) understanding of the processes which, together, produce the contingent outcomes of experience. Offering a host of concrete illustrations and examples of critical ideas and issues, this accessible book will be of interest to students of the philosophy of social science, and social scientists from a range of disciplines. (shrink)

Scientists have used models for hundreds of years as a means of describing phenomena and as a basis for further analogy. In Scientific Models in Philosophy of Science, Daniela Bailer-Jones assembles an original and comprehensive philosophical analysis of how models have been used and interpreted in both historical and contemporary contexts. Bailer-Jones delineates the many forms models can take (ranging from equations to animals; from physical objects to theoretical constructs), and how they are put to use. She examines (...) early mechanical models employed by nineteenth-century physicists such as Kelvin and Maxwell, describes their roots in the mathematical principles of Newton and others, and compares them to contemporary mechanistic approaches. Bailer-Jones then views the use of analogy in the late nineteenth century as a means of understanding models and to link different branches of science. She reveals how analogies can also be models themselves, or can help to create them. The first half of the twentieth century saw little mention of models in the literature of logical empiricism. Focusing primarily on theory, logical empiricists believed that models were of temporary importance, flawed, and awaiting correction. The later contesting of logical empiricism, particularly the hypothetico-deductive account of theories, by philosophers such as Mary Hesse, sparked a renewed interest in the importance of models during the 1950s that continues to this day. Bailer-Jones analyzes subsequent propositions of: models as metaphors; Kuhn's concept of a paradigm; the Semantic View of theories; and the case study approaches of Cartwright and Morrison, among others. She then engages current debates on topics such as phenomena versus data, the distinctions between models and theories, the concepts of representation and realism, and the discerning of falsities in models. (shrink)

This article casts light on the intimate relationship between metaphysics and science in Adam Smith’s thought. Understanding this relationship can help in resolving an enduring dispute or misreading concerning the status and role of natural theology and the ‘invisible hand’ doctrine. In Smith’s scientific realism, ontological issues are necessary prerequisites for scientific inquiry, and metaphysical ideas thus play an organizing and regulatory role. Smith also recognized the importance of scientifically informed metaphysics in science’s historical development. In this (...) sense, for Smith, the metaphysico-scientific link, was a basic criterion of scientific validation by Inference to the Best Explanation. Furthermore, Smith’s comments implicitly suggest that in scientific progress there is a dialectic between metaphysics and science. These themes are illustrated primarily through his writings on the history of astronomy. (shrink)

In this innovative book, Hasok Chang constructs a philosophy of science for 'realistic people' interested in understanding and promoting the actual practices of inquiry in science and other knowledge-focused areas of life. Inspired by pragmatist philosophy, he reconceives the very notions of reality and truth on the basis of his concept of the 'operational coherence' of epistemic activities, and offers new pragmatist conceptions of truth and reality as operational ideals achievable in actual scientific practice. Rejecting the version (...) of scientific realism that is concerned with claiming that our theories correspond to an ultimate reality, he proposes instead an 'activist realism': a commitment to do all that we can actually do to improve our knowledge of realities. His book will appeal to scholars and students in philosophy, science and the history of science, and all who are concerned about the place of science and empirical truth in society. (shrink)

This chapter will be a brief survey of the concepts from general philosophy of science for those interested in cognitive science. It covers several major topics in the philosophy of science: scientific explanation and underdetermination, reductionism and levels of nature, and scientific realism. We will discuss the goals of science, the methods of science, and the most plausible interpretations of science. To demonstrate the importance of these topics, the chapter includes cases in which confusion over (...) these issues has led scientists astray. These cases include instances in which cognitive neuroscience has failed to discover adequate explanations for phenomena, when previously established research did not withstand further scrutiny, and the increasingly complex and bewildering interrelationship between the study of the mind and the study of the brain and its parts. These issues are common to many areas of science, but they can be particularly fraught in a field like cognitive neuroscience, as researchers from a wide variety of disciplinary backgrounds and research foci come together to develop a systematic understanding of the mind. (shrink)

It is widely believed that many of the competing accounts of scientific explanation have ramifications which are relevant to the scientific realism debate. I claim that the two issues are orthogonal. For definiteness, I consider Cartwright's argument that causal explanations secure belief in theoretical entities. In Section I, van Fraassen's anti-realism is reviewed; I argue that this anti-realism is, prima facie, consistent with a causal account of explanation. Section II reviews Cartwright's arguments. In Section III, (...) it is argued that causal explanations do not license the sort of inferences to theoretical entities that would embarass the anti-realist. Section IV examines the epistemic commitments involved in accepting a causal explanation. Section V presents my conclusions: contra Cartwright, the anti-realist may incorporate a causal account of explanation into his vision of science in an entirely natural way. (shrink)

The orthodox, empiricist covering-law account of scientific explanation, as developed by C. G. Hempel and others, has long dominated philosophical discussions of scientific explanation. In recent years it has met overwhelming critical resistance. We should give up this account of scientific ex.

Few can imagine a world without telephones or televisions; many depend on computers and the Internet as part of daily life. Without scientific theory, these developments would not have been possible. In this exceptionally clear and engaging introduction to philosophy of science, James Ladyman explores the philosophical questions that arise when we reflect on the nature of the scientific method and the knowledge it produces. He discusses whether fundamental philosophical questions about knowledge and reality might be answered (...) by science, and considers in detail the debate between realists and antirealists about the extent of scientific knowledge. Along the way, central topics in philosophy of science, such as the demarcation of science from non-science, induction, confirmation and falsification, the relationship between theory and observation and relativism are all addressed. Important and complex current debates over underdetermination, inference to the best explaination and the implications of radical theory change are clarified and clearly explained for those new to the subject. (shrink)

Anthropology, the science of human culture, includes in its scope the anthropology of scientific cultures. Anthropological accounts of these scientific cultures -- which also happen to be the cultures to which most anthropologists belong -- are scarcely adequate. All too often science is assimilated to the practices and thought systems of non-scientific cultures; some anthropologists espousing the anti-scientific methods of symbol analysis and relativism. Arguments of M. Douglas, C. Geertz and F. Hanson are used as critical (...) illustrations. (shrink)

Our philosophical understanding of mental illness is being shaped by neuroscience. However, it has the paradoxical effect of igniting two radically opposed groups of philosophical views. On one side, skepticism and denialism assume that, lacking clear biological mechanisms and etiologies for most mental illnesses, we should infer they are constructions best explained by means of social factors. This is strongly associated with medical nihilism: it considers psychiatry more harmful than benign. On the other side of the divide, naturalism and reductionism (...) are on the look for failures in the biological functioning of the organism whenever a genuine mental illness occurs. Psychiatry as currently practiced, accordingly, exhibits the gaps of an ongoing research programme; a yet to be completed neuroscience would link mental illnesses with identifiable biological mechanisms. Both sides of this divide claim to be fostered by scientific discoveries and advances in neuroscience, when taken at face value. Against this background, we argue instead for a modest view. To that end, we draw attention to some nuances in the scientific realism debate. While contending that neuroscientific theories and models aim to provide true representations of their target systems, and can justifiably claim to have attained some, we argue that our confidence should not be placed beforehand in specific features of these scientific representations. Hence, it would be unwarranted to extract morals for psychiatry from posits (or their absence) in neuroscientific explanations of mental illnesses. To illustrate our position, we examine some recent discoveries in neuroscience concerning bipolar disorder. We conclude by linking our topic to a broader issue in the philosophy of medicine: insofar as psychiatry is a biomedical specialty, its classifications of health and disease are guided by pragmatic concerns, as well as by scientific discoveries. (shrink)

Taking a cue from remarks Thomas Kuhn makes in 1990 about the historical turn in philosophy of science, I examine the history of history and philosophy of science within parts of the British philosophical context in the 1950s and early 1960s. During this time, ordinary language philosophy's influence was at its peak. I argue that the ordinary language philosophers' methodological recommendation to analyze actual linguistic practice influences several prominent criticisms of the deductive-nomological model of scientific explanation (...) and that these criticisms relate to the historical turn in philosophy of science. To show these connections, I primarily examine the work of Stephen Toulmin, who taught at Oxford from 1949 to 1954, and Michael Scriven, who completed a dissertation on explanation under Gilbert Ryle and R.B. Braithwaite in 1956. I also consider Mary Hesse's appeal to an ordinary language-influenced account of meaning in her account of the role of models and analogies in scientific reasoning, and W.H. Watson's Wittgensteinian philosophy of science, an early influence on Toulmin. I think there are two upshots to my historical sketch. First, it fills out details of the move away from logical positivism to more historical- and practice-focused philosophies of science. Second, questions about linguistic meaning and the proper targets and aims of philosophical analysis are part and parcel of the historical turn, as well as its reception. Looking at the philosophical background during which so-called linguistic philosophers also had a hand in bringing these questions to prominence helps us understand why. (shrink)

Introduction -- From natural philosophy to theories of method -- Explanations, laws, and theories -- Change and the effect on scientific realism -- Science, society, and values -- Conclusion -- Glossary.

A large body of work in science education indicates that evolution is one of the least understood and accepted scientific theories. Although scholarship from the history and philosophy of science (HPS) has shed light on many conceptual and pedagogical issues in evolution education, HPS-informed studies of evolution education are also characterized by conceptual weaknesses. In this chapter, we critically review such studies and find that some work lacks historically accurate characterizations of student ideas (preconceptions and misconceptions). In addition, (...) although several studies in the science education literature have drawn parallels between students’ conceptual change patterns and those from the history of science (HOS), we identify several issues that complicate the characterization of student ideas as “Lamarckian” or “Darwinian.” Finally, a review of the topic of explanation illustrates how the plurality of approaches employed in evolutionary biology is not reflected in evolution education scholarship or practice. This finding is particularly concerning given the recent shift in emphasis in science education standards to teaching content through practice-based tasks (e.g., explanation and argumentation). Overall, this chapter demonstrates that while HPS is of central importance to a deep understanding of evolution education, too often its contributions are poorly realized. (shrink)

Fictional models in science -- The hypothetical versus the fictional -- What is wrong with the new fictionalism of scientific models? -- Re-inflating the conception of scientific representation -- Idealization, confirmation, and scientific realism -- Laws and models in a theory of idealization -- Approximation and its measures -- Approximation, idealization, and the laws of nature -- Coordination of space and unity of science -- Gauge gravity and the unification of natural forces -- Models and theories (...) II: issues and applications -- Models and theories I: the semantic view revisited -- Explaining quantum spontaneous symmetry breaking -- Review: symmetries in physics: philosophical reflections -- Classical spontaneous symmetry breaking -- Spontaneous symmetry breaking and chance in a classical world -- Approximations, idealizations, and models in statistical mechanics -- Infinite systems in SM explanations: thermodynamic limit, renormalization (semi-) groups, and irreversibility -- Explaining the emergence of cooperative phenomena -- A possible unified understanding of probabilistic objects -- Particularism and holism revisited -- Potential, propensity and categorical realism -- The Aharonov-Bohm effect and the reality of wave packets -- Realism and spacetime: of arguments against metaphysical realism and manifold realism -- Gauge invariance, Cauchy problem, indeterminism, and symmetry breaking -- Is there a relativistic thermodynamics? a case study of the meaning of special relativity. (shrink)

A few years ago, Bas van Fraassen reminded philosophers of science that there are two central questions that a theory of explanation ought to answer. First, what is a explanation—when has something been explained satisfactorily? Second, why do we value explanations? . For a long time, discussions of explanation concentrated on technical problems connected with the first of these questions, and the second was by and large ignored. But, in fact, I think it is the second question which raises the (...) more fundamental and interesting philosophical issues. I shall offer reasons for thinking that the answer to the first question requires acceptance of the sort of fullblown notion of causation that only a scientific realist can love, and that the answer to the second question requires a realist construal of scientific theories and scientific methodology. My argument will be mainly negative, surveying the problems facing some major alternative accounts of explanation. A full elaboration of the realist perspective will have to await the completion of work in progress. (shrink)

How should we reason in science? Jan Sprenger and Stephan Hartmann offer a refreshing take on classical topics in philosophy of science, using a single key concept to explain and to elucidate manifold aspects of scientific reasoning. They present good arguments and good inferences as being characterized by their effect on our rational degrees of belief. Refuting the view that there is no place for subjective attitudes in 'objective science', Sprenger and Hartmann explain the value of convincing evidence (...) in terms of a cycle of variations on the theme of representing rational degrees of belief by means of subjective probabilities (and changing them by Bayesian conditionalization). In doing so, they integrate Bayesian inference—the leading theory of rationality in social science—with the practice of 21st century science. Bayesian Philosophy of Science thereby shows how modeling such attitudes improves our understanding of causes, explanations, confirming evidence, and scientific models in general. It combines a scientifically minded and mathematically sophisticated approach with conceptual analysis and attention to methodological problems of modern science, especially in statistical inference, and is therefore a valuable resource for philosophers and scientific practitioners. (shrink)

Scientists have used models for hundreds of years as a means of describing phenomena and as a basis for further analogy. In Scientific Models in Philosophy of Science, Daniela Bailer-Jones assembles an original and comprehensive philosophical analysis of how models have been used and interpreted in both historical and contemporary contexts. Bailer-Jones delineates the many forms models can take (ranging from equations to animals; from physical objects to theoretical constructs), and how they are put to use. She examines (...) early mechanical models employed by nineteenth-century physicists such as Kelvin and Maxwell, describes their roots in the mathematical principles of Newton and others, and compares them to contemporary mechanistic approaches. Bailer-Jones then views the use of analogy in the late nineteenth century as a means of understanding models and to link different branches of science. She reveals how analogies can also be models themselves, or can help to create them. The first half of the twentieth century saw little mention of models in the literature of logical empiricism. Focusing primarily on theory, logical empiricists believed that models were of temporary importance, flawed, and awaiting correction. The later contesting of logical empiricism, particularly the hypothetico-deductive account of theories, by philosophers such as Mary Hesse, sparked a renewed interest in the importance of models during the 1950s that continues to this day. Bailer-Jones analyzes subsequent propositions of: models as metaphors; Kuhn's concept of a paradigm; the Semantic View of theories; and the case study approaches of Cartwright and Morrison, among others. She then engages current debates on topics such as phenomena versus data, the distinctions between models and theories, the concepts of representation and realism, and the discerning of falsities in models. (shrink)

Scientific realism is the optimistic view that modern science is on the right track: that the world really is the way our best scientific theories describe it. In his book, Stathis Psillos gives us a detailed and comprehensive study which restores the intuitive plausibility of scientific realism. We see that throughout the twentieth century, scientific realism has been challenged by philosophical positions from all angles: from reductive empiricism, to instrumentalism and to modern sceptical (...) empiricism. _Scientific Realism_ explains that the history of science does not undermine the arguments for scientific realism, but instead makes it reasonable to accept scientific realism as the best philosophical account of science, its empirical success, its progress and its practice. Anyone wishing to gain a deeper understanding of the state of modern science and why scientific realism is plausible, should read this book. (shrink)

The paper can be logically divided into two parts. In the first part I distinguish two kinds of metaphysics: basic metaphysics, which affects scientific theories, and a second kind, which is an effect of interpretations of these theories. I try to show the strong mutual relations between metaphysics and science and to point out that the basic metaphysics of science is based on realistic assumptions. In the second part of my paper I suggest that we should consider the basic (...) metaphysics of science and its realistic foundations in order to better understand scientific realism and to properly resolve the debate around it. The methodology of Imre Lakatos is applied in the paper. (shrink)

This book offers a comprehensive update on the scientific realism debate, enabling readers to gain a novel appreciation of the role of objectivity and truth in science and to understand fully the various ways in which antirealist conceptions have been subjected to challenge over recent decades. Authoritative representatives of different philosophical traditions explain their perspectives on the meaning and validity of scientific realism and describe the strategies being adopted to counter persisting antirealist positions. The coverage extends (...) beyond the usual discussion of realism within the context of the natural sciences, and especially physics, to encompass also its applicability in mathematics, logic, and the human sciences. The book will appeal to all with an interest in the recent realist epistemologies of science, the nature of current philosophical debate, and the ongoing rehabilitation of truth as the legitimate goal of scientific research. (shrink)

Hume’s Science of Human Nature is an investigation of the philosophical commitments underlying Hume's methodology in pursuing what he calls ‘the science of human nature’. It argues that Hume understands scientific explanation as aiming at explaining the inductively-established universal regularities discovered in experience via an appeal to the nature of the substance underlying manifest phenomena. For years, scholars have taken Hume to employ a deliberately shallow and demonstrably untenable notion of scientific explanation. By contrast, Hume’s Science of Human (...) Nature sets out to update our understanding of Hume’s methodology by using a more sophisticated picture of science as a model. (shrink)

Philosophy of Science: An Anthology assembles some of the finest papers in the philosophy of science since 1945, showcasing enduring classics alongside important and innovative recent work. Introductions by the editor highlight connections between selections, and contextualize the articles Nine sections address topics at the heart of philosophy of science, including realism and the character of scientific theories, scientific explanations and laws of nature, singular casusation, and the metaphysical implications of modern physics Provides an (...) authoritative and accessible overview of the field. (shrink)

Sellars argues against Nagelian instrumentalism for his version (not Feyerabend's) of scientific realism.

Scientific realists have argued that the truth(likeness) of our theories provides the only explanation for the success of science. I consider alternative explanations proposed by antirealists. I endorse Leplin's contention that neither van Fraassen's Darwinist explanation nor Laudan's methodological explanation provides the sort of explanatory alternative which is called for in this debate. Fine's suggestion--that the empirical adequacy of our theories already explains their success--is more promising for antirealists. Leplin claims that this putative explanation collapses into realism on (...) one reading and into vacuity on another reading. But his analysis conflates three doctrines into two, and one of the three avoids both realism and vacuity. (shrink)

In the 1960s, archaeologists en masse were voicing dissatisfaction with the archaeological status quo. Rather than record static facts as historians, archaeologists wanted to study fluid processes as scientists. As Hempelian explanation, where an event is explained when it is subsumed under a law or law-like statement, showed promise as a way to recast archaeology in this manner, it was chosen as the theoretical base for what became known as processual, or 'new archaeology.' ;Unfortunately, Hempelian archaeology ran into a number (...) of serious theoretical and methodological problems. Archaeology lacked the regularities that were thought to exist in sciences such as physics, so archaeological laws were difficult, if not impossible to define. In addition, equifinality, or under-determinism, made it impossible for archaeologists to choose between equally subsumable, albeit contradictory explanations. ;These problems were not limited to archaeology. Philosophers of science were already aware of these issues, and continue to search for answers for problems surrounding scientific explanation. As both groups continue to ask similar questions about the nature of science, this project posits that both archaeologists and philosophers of science have much to gain by resuming their original dialogue. ;By reengaging with philosophy, archaeologists can understand that the failure of Hempelian archaeology should not be seen as a failure of philosophical archaeology. Archaeologists would then see that ongoing questions about the future of archaeology actually mirror debates going on in philosophical explanation. ;Philosophers of science can also learn much from archaeology. As a transdisciplinary science, archaeology puts an interesting spin on standard philosophical problems. For instance, archaeological practice can be seen as questioning the centrality of laws to scientific explanation, and raises questions about the unity of science. In addition, claims that scientists have to be realists in regard to theoretical entities may need to be rethought, due to antirealist tendencies found in some archaeological contexts. Finally, as the interplay between the theory and practice of science has not been ironed out in archaeology, a study of this issue could be of great interest to philosophers of science. In summary, the goal of this dissertation is to provide concrete examples of how a study of problems central to archaeology can provide philosophers of science a new way to approach philosophical issues. At the same time, these examples should prove to archaeologists that a study of contemporary philosophy of science will strengthen the epistemological foundations of their relatively young science. (shrink)

Cognitive science, as an interdisciplinary research endeavour, seeks to explain mental activities such as reasoning, remembering, language use, and problem solving, and the explanations it advances commonly involve descriptions of the mechanisms responsible for these activities. Cognitive mechanisms are distinguished from the mechanisms invoked in other domains of biology by involving the processing of information. Many of the philosophical issues discussed in the context of cognitive science involve the nature of information processing. For philosophy of science, a central question (...) is what counts as a scientific explanation. But what is a mechanistic explanation and how does it work, how can philosophy of science use it as a solution for the problem of integration in cognitive science? By answering these questions and merging my answers with discussion of concepts of philosophy, normativity and generality, I will investigate the following claim. -/- I claim that philosophy by using strength concepts such as normativity, generality, and a mechanistic philosophy of explanations, can be a most important contributor to cognitive science. I also investigate how philosophy of science could be (can be) a bridge between psychology and neuroscience. We need a distinction between philosophy of cognitive science and philosophy in cognitive science; I am talking about the latter. -/- This claim is very important for the integration and the future of the interdisciplinary field known as cognitive science. -/- Philosophy as a true cognitive science -/- When the Cognitive Science Society was founded, in the late 1970s, philosophy, neuroscience, and anthropology were playing smaller roles. The three disciplines that formed the core group were artificial intelligence, psychology, and linguistics. The curious thing is that George Miller, a psychologist and an important founder of cognitive sciences in a hexagon diagram that he presented, put philosophy at the top of the diagram and neuroscience at the very bottom. There is enough agreement now that neuroscience is the most important contributor to cognitive science and there are fair connections between philosophy and neuroscience. In that diagram there was almost no connection between philosophy and neuroscience. -/- The developments and rise of cognitive science in the last half-century has been accompanied by considerable amount of philosophical activity. Perhaps no other area within analytic philosophy in the second half of that period has attracted more attention or produced more publications. (Bechtel and Graham, 1998. Rumelhart and Bly 1999. Bechtel, Mandik, Mundale 2001. Thagard, 2007. Bennett and Dennett et al, 2007. Bennett and Hacker, 2008. Andler, 2009. Frankish and Ramsey, 2012.) -/- Many philosophers of science offer conclusions that have a direct bearing on cognitive science and its practitioners can profit from closer engagement with the rest of cognitive science. For example, William Bechtel has discussed three projects, two in naturalistic philosophy of mind and one in naturalistic philosophy of science that have been pursued during the past 30 years, that he contends, can make theoretical and methodological contributions to cognitive science (Bechtel, 2009). Paul Thagard is another example of the mentioned emerging school of philosophers of science that define cognitive science as the interdisciplinary investigation of mind and intelligence (Thagard, 2006). Thagard by presenting some general but important philosophical questions such as, “What is the nature of the explanations and theories developed in cognitive science?”, and by providing answers to these central questions has showed how philosophy of science can help cognitive science by the advantage of its generality. Andrew Brook, however, believes that philosophical approaches have never had a settled place in cognitive science but he is listed in a group of the philosophers of science that they are contributing very closely the cognitive science (Brook, 2009). Daniel Dennett , as well as being a member the mentioned naturalistic philosophers of science, believes that there is much good work for philosophers to do in cognitive science if they adopt the constructive attitude that prevails in science. -/- What are mechanisms? Let us begin abstractly before considering an example. Mechanisms are collections of entities and activities organized together to do something (cf. Machamer, Darden, & Craver, 2000; Craver & Darden, 2001; Bechtel &Richardson, 1993; Glennan, 1996). These explanations are known as ‘mechanistic explanations’. By using and developing these mechanistic explanations of philosophy of science one can draw normative consequences for cognitive science. Paul Thagard (Thagard, 2006 and 2009), William Bechtel (Bechtel, 2008 and 2009), Andrew Brook (Brook, 2008) investigated and promoted using the ‘normativity’ in philosophy to show a better and crucial role for philosophy of science in an interdisciplinary known as cognitive science. Some philosophers have thought that, in order to pursue this normative function, philosophy must distance itself from empirical matters, but there are examples where the investigations of descriptive and normative issues go hand in hand. ( Thagard, 2009). -/- I will investigate how we can reduce a higher-level science such as psychology to neuroscience without the problems of reductionism but via mechanistic explanations. By problem I mean psychology does not lose its autonomy. -/- Conclusion -/- If cognitive science is all about understanding the human mind, or if cognitive science is the interdisciplinary investigation of mind and intelligence, since the whole life of philosophy was involving with the ways of knowing (epistemology) and conceptions of reality (metaphysics), also philosophy has considered the so-called mind-body problem ( identity theory, functionalism, and heuristic identity theory) , then philosophy could be the most deserved discipline to be a most contributor in cognitive science. I tried to discuss this by using the three advantages in philosophy, normativity, and generality and by introducing an emerging school of mechanistic (not mechanical) philosophers. One thing left, as cognitive science is a two-way street, philosophers need also to stop in a station of cognitive science and learn from the most important advances in brain and neuroscience. -/- . (shrink)

Scientific Realism is the optimistic view that modern science is on the right track: that the world really is the way our best scientific theories describe it to be. In his book, Stathis Psillos gives us a detailed and comprehensive study, which restores the intuitive plausibility of scientific realism. We see that throughout the twentieth century, scientific realism has been challenged by philosophical positions from all angles: from reductive empiricism, to instrumentalism and modern (...) skeptical empiricism. Scientific Realism explains that the history of science does not undermine the notion of scientific realism, and instead makes it reasonable to accept scientific as the best philosophical account of science, its empirical success, its progress and its practice. Anyone wishing to gain a deeper understanding of the state of modern science and why scientific realism is plausible, should read this book. (shrink)

The development of science has been a distinctive feature of human history in recent times, especially in the seventeenth and eighteenth centuries. In light of the problems that define the philosophy of science today, James Fetzer provides a foundation for inquiry into the nature of science, the history of science, and the relationship between the two. In Philosophy of Science, Fetzer investigates the aim and methods of empirical science and examines the importance of methodological commitments to the study (...) of science and the significance of interpretations of probability for understanding laws of nature and scientific explanations. This book offers a welcome framework for investigating the most recent work and the most promising solutions to the central problems that arise within this discipline. The result is a timely introduction to an increasingly important field. -- Publisher description. (shrink)

Crime is a serious social problem, but its causes are not exclusively social. There is growing consensus that explaining and preventing it requires interdisciplinary research efforts. Indeed, the landscape of contemporary criminology includes a variety of theoretical models that incorporate psychological, biological and sociological factors. These multi-disciplinary approaches, however, have yet to radically advance scientific understandings of crime and shed light on how to manage it. In this paper, using conceptual tools on offer in the philosophy of science (...) in combination with theoretical work represented in this special volume of Psychology, Crime and Law, I provide some perspective on why explanatory progress in criminology has remained elusive and evaluate some positive proposals for attaining it. -/- . (shrink)

Philosophy of science attempts to reconstruct science as a rational cognitive enterprise. In doing so, it depicts a normative ideal of knowledge acquisition and does not primarily seek to describe actual scientific practice in an empirically adequate way. A comprehensive picture of what good science consists in may serve as a standard against which we evaluate and criticize actual scientific practices. Such a normative picture may also explain why it is reasonable for us to trust scientists – (...) to the extent that they live up to the ideal – and to rely on their findings in decision making. Likewise, a sound normative understanding of science exposes the limits of scientific understanding and prevents us from placing blind faith in scientists and experts. For these reasons, philosophy of science represents a useful resource and background theory for the practice and study of science communication. In this handbook article, we provide an opinionated introduction to philosophy of science by flashing a light on 22 central issues which (we think) are of special interest to scholars and practitioners of science communication – and, in particular, to scholars and practitioners of external science communication. (shrink)

In this interview, Christopher Norris discusses a wide range of issues having to do with postmodernism, deconstruction and other controversial topics of debate within present–day philosophy and critical theory. More specifically he challenges the view of deconstruction as just another offshoot of the broader postmodernist trend in cultural studies and the social sciences. Norris puts the case for deconstruction as continuing the ‘unfinished project of modernity’ and—in particular—for Derrida’s work as sustaining the values of enlightened critical reason in various (...) spheres of thought from epistemology to ethics, sociology and politics. Along the way he addresses a number of questions that have lately been raised with particular urgency for teachers and educationalists, among them the revival of creationist doctrine and the idea of scientific knowledge as a social, cultural, or discursive construct. In this context he addresses the ‘science wars’ or the debate between those who uphold the values of scientific reason, progress and truth, and those (like the ‘strong’ sociologists of knowledge) who would reject such values as merely the expression of a dominant ideological consensus. Norris also discusses the emergence of anti–realism as a strongly marked trend within recent analytic philosophy, one that denies the existence of objective (‘recognition–transcendent’) truths in mathematics, the physical sciences, history and other disciplines. Thus statements are thought of as possessing a truth–value just insofar as we possess some adequate proof–procedure or some means of finding them out through empirical or other methods of enquiry. Norris offers a range of arguments against this anti–realist position and brings out its convergence with various postmodernist lines of thought. Through a running commentary on Derrida’s work in relation to these developments he shows how deconstruction has been misconstrued by sociologists, cultural critics and educational theorists whose understanding has often been based on a limited acquaintance with the primary texts. Above all Norris calls for a renewed engagement with the philosophic discourse of modernity and a willingness to challenge postmodern scepticism and value–relativism in a spirit of open–minded critical debate. (shrink)

The philosophy of science has lost its self-confidence. Structures in Science (2001) is an advanced textbook that explicates, updates and integrates the best insights of logical empiricism and its main critics. This "neo-classical approach" aims at providing heuristic patterns for research.The book introduces four ideal types of research programs (descriptive, explanatory, design and explicative) and reanimates the distinction between observational laws and proper theories without assuming a theory-free language. It explicates various patterns of explanation by subsumption and specification as (...) well as structures in reductive and other types of interlevel research. Its threefold analysis of theory evaluation leads to new characterizations of confirmation, empirical progress, and truth approximation. What emerges are partial analogies between progress in nomological research, presented in detail in From Instrumentalism to Constructive Realism (2000) and progress in explicative and design research. Finally, special chapters are devoted to design research programs, computational philosophy of science, the structuralist approach to theories, and research ethics.The present synopsis of Structures in Science highlights the main topics, the final emphasis being on design research and research ethics. (shrink)

John Dewey provided a robust and thorough conception of scientific explanation within his philosophical writing. I provide an exegesis of Dewey's concept of scientific explanation and argue that this concept is important to contemporary philosophy of science for at least two reasons. First, Dewey's conception of scientific explanation avoids the reification of science as an entity separated from practical experience. Second, Dewey supplants the realist-antirealist debate within the philosophical literature concerning explanation, thus moving us beyond the (...) current stalemate within philosophy of science. (shrink)

Roughly, instrumentalism is the view that science is primarily, and should primarily be, an instrument for furthering our practical ends. It has fallen out of favour because historically influential variants of the view, such as logical positivism, suffered from serious defects. -/- In this book, however, Darrell P. Rowbottom develops a new form of instrumentalism, which is more sophisticated and resilient than its predecessors. This position—‘cognitive instrumentalism’—involves three core theses. First, science makes theoretical progress primarily when it furnishes us with (...) more predictive power or understanding concerning observable things. Second, scientific discourse concerning unobservable things should only be taken literally in so far as it involves observable properties or analogies with observable things. Third, scientific claims about unobservable things are probably neither approximately true nor liable to change in such a way as to increase in truthlikeness. -/- There are examples from science throughout the book, and Rowbottom demonstrates at length how cognitive instrumentalism fits with the development of late nineteenth- and early twentieth-century chemistry and physics, and especially atomic theory. Drawing upon this history, Rowbottom also argues that there is a kind of understanding, empirical understanding, which we can achieve without having true, or even approximately true, representations of unobservable things. In closing the book, he sets forth his view on how the distinction between the observable and unobservable may be drawn, and compares cognitive instrumentalism with key contemporary alternatives such as structural realism, constructive empiricism, and semirealism. -/- Overall, this book offers a strong defence of instrumentalism that will be of interest to scholars and students working on the debate about realism in philosophy of science. (shrink)

We establish a connection between T. Kuhn’s philosophy of science and a Wittgensteinian contextual realism, as we understand it, and interpret the basic concepts of the former in terms of the latter. In particular, we interpret the notion of a scientific paradigm in terms of the notion of a form of life. For instance, we speak of Newtonian and quantum mechanics as grammars of the corresponding forms of life. The incommensurability of paradigms is due to the adoption (...) of different norms (grammars). It is not absolute, as grammatical statements can change their status and become factual, and vice versa. Norms themselves evolve. We support Kuhn’s argument against Popper’s falsification principle with our interpretation of an established scientific theory as a Wittgensteinian norm (rule) for measuring reality. The norm is neither true nor false; its falsification makes no sense. We interpret Wittgenstein’s notion of a family resemblance, used by Kuhn, as the presence of a shared explicit or implicit Wittgensteinian rule (norm). We interpret Kuhn’s historical examples, in particular those with the systems of Ptolemy and Copernicus, relativity theory and quantum mechanics, and Kuhn’s view that participants in different paradigms see the world differently and that observation depends on theory, in terms of our thesis that ontology is sensitive to context. We thus resist the relativistic and constructivist interpretations of Kuhn’s position and show why it does not contradict the idea of scientific progress and the principle of correspondence between scientific theories. We also briefly compare Kuhn’s position with those of I. Lakatos, H. Chang (pragmatic realism) and J. MacFarlane (evaluative relativism), and compare our interpretation of Kuhn with his interpretation in terms of a naturalized transcendentalism proposed by M. Massimi. (shrink)

Contents Preface General Introduction 1 | Science and Pseudoscience Introduction Karl Popper, Science: Conjectures and Refutations Thomas S. Kuhn, Logic of Discovery or Psychology of Research? Imre Lakatos, Science and Pseudoscience Paul R. Thagard, Why Astrology Is a Pseudoscience Michael Ruse, Creation-Science Is Not Science Larry Laudan, Commentary: Science at the Bar---Causes for Concern Commentary 2 | Rationality, Objectivity, and Values in Science Introduction Thomas S. Kuhn, The Nature and Necessity of Scientific Revolutions Thomas S. Kuhn, Objectivity, Value Judgment, (...) and Theory Choice Ernan McMullin, Rationality and Paradigm Change in Science Larry Laudan, Kuhn’s Critique of Methodology Helen E. Longino, Values and Objectivity Kathleen Okruhlik, Gender and the Biological Sciences Commentary 3 | The Duhem-Quine Thesis and Underdetermination Introduction Pierre Duhem, Physical Theory and Experiment W. V. Quine, Two Dogmas of Empiricism Donald Gillies, The Duhem Thesis and the Quine Thesis Larry Laudan, Demystifying Underdetermination *Colin Howson and Peter Urbach, The Duhem Problem Commentary 4 | Induction, Prediction, and Evidence Introduction Peter Lipton, Induction Karl Popper, The Problem of Induction Wesley C. Salmon, Rational Prediction Carl G. Hempel, Criteria of Confirmation and Acceptability Peter Achinstein, Explanation v. Prediction: Which Carries More Weight? *Nelson Goodman, The New Riddle of Induction Commentary 5 | Confirmation and Relevance: Bayesian Approaches Introduction Wesley C. Salmon, Rationality and Objectivity in Science *Deborah G. Mayo, A Critique of Salmon’s Bayesian Way *Alan Chalmers, The Bayesian Approach Paul Horwich, Therapeutic Bayesianism Commentary 6 | Models of Explanation Introduction Rudolf Carnap, The Value of Laws: Explanation and Prediction Carl G. Hempel, Two Basic Types of Scientific Explanation Carl G. Hempel, The Thesis of Structural Identity Carl G. Hempel, Inductive-Statistical Explanation Peter Railton, A Deductive-Nomological Model of Probabilistic Explanation *Philip Kitcher, Explanatory Unification *James Woodward, The Manipulability Conception of Causal Explanation Commentary 7 | Laws of Nature Introduction A. J. Ayer, What Is a Law of Nature? Fred I. Dretske, Laws of Nature D. H. Mellor, Necessities and Universals in Natural Laws Nancy Cartwright, Do the Laws of Physics State the Facts? Commentary 8 | Intertheoretic Reduction Introduction Ernest Nagel, Issues in the Logic of Reductive Explanations Paul K. Feyerabend, How to Be a Good Empiricist *Jerry A. Fodor, Special Sciences Philip Kitcher, 1953 and All That: A Tale of Two Sciences Commentary 9 | Empiricism and Scientific Realism Introduction Grover Maxwell, The Ontological Status of Theoretical Entities Bas C. van Fraassen, Arguments Concerning Scientific Realism Alan Musgrave, Realism versus Constructive Empiricism Larry Laudan, A Confutation of Convergent Realism *Juha T. Saatsi, On the Pessimistic Induction and Two Fallacies Ian Hacking, Experimentation and Scientific Realism David B. Resnik, Hacking’s Experimental Realism *Martin Carrier, What Is Right with the Miracle Argument Arthur Fine, The Natural Ontological Attitude Alan Musgrave, NOA’s Ark---Fine for Realism Commentary Glossary Bibliography Name Index Subject Index. (shrink)

This user-friendly text covers key issues in the philosophy of science in an accessible and philosophically serious way. It will prove valuable to students studying philosophy of science as well as science students. Prize-winning author Alex Rosenberg explores the philosophical problems that science raises by its very nature and method. He skilfully demonstrates that scientific explanation, laws, causation, theory, models, evidence, reductionism, probability, teleology, realism and instrumentalism actually pose the same questions that Plato, Aristotle, Descartes, Hume, (...) Kant and their successors have grappled with for centuries. (shrink)

In this dissertation, I examine the origins and nature of Mach's philosophy, or rather theory, of science. I show how it relates to, and is informed by, his own works in physiology, psychophysics, physics, and the history and psychology of science. I argue that Mach's theory of science grew out of his concern to provide a single, unified--albeit coherent--perspective on both the life and physical sciences. Corresponding to this conceptual unification of perspectives in the different branches of knowledge, lies (...) Mach's belief in the unity of the so-called 'organic' and 'inorganic' worlds. I demonstrate how Mach grappled with these issues, tracing the evolutionary development of his thought, which vacillates between the two poles of the physical and the psychological, culminating in his neutral monism. My main findings, which differ from previous accounts of Mach, consist in the following: Mach can be considered as a precursor of Logical Positivism only in the sense that they both reject metaphysics, and believe that the world can be constructed out of simple entities. However, significant differences can be discerned between Mach and the Logical Positivists, viz.: Mach's emphasis on history and psychology--rather than logic--in understanding the nature of scientific knowledge, Mach is not a scientific realist, and he asserts the primacy of sensations over physical objects. Mach's notion of "philosophy", and hence of "philosophy of science", differs in character from contemporary mainstream philosophy of science which is based on analytic philosophy. For Mach, philosophy is not first philosophy and its function is not to provide justification or foundation for science. In this sense Mach anticipates the naturalization of epistemology and the philosophy of science. ;Finally, I show how his reaction towards atomism can be understood within this broader context of his attempt to provide a unified view of knowledge. I defend Mach's stand on atomism on the grounds that his objection is not so much against the development of the atomic theory, but against a realist construal of the atom and the mechanistic-reductionistic world-view implied by it. (shrink)

What is science? Is there a real difference between science and myth? Is science objective? Can science explain everything? This Very Short Introduction provides a concise overview of the main themes of contemporary philosophy of science. Beginning with a short history of science to set the scene, Samir Okasha goes on to investigate the nature of scientific reasoning, scientific explanation, revolutions in science, and theories such as realism and anti-realism. He also looks at philosophical issues (...) in particular sciences, including the problem of classification in biology, and the nature of space and time in physics. The final chapter touches on the conflicts between science and religion, and explores whether science is ultimately a good thing. (shrink)

As the title suggests, David Landy’s Hume’s Science of Human Nature: Scientific Realism, Reason, and Substantial Explanation defends a staunchly realist interpretation of Hume on scientific explanation. Landy’s forward-looking view sees Hume’s methodology in the Treatise as anticipating developments much later in history. He gives Hume a Sellarsian update, making his philosophy of science more impactful and contemporary than previously thought. The motivation for his view is twofold. First, he wants to respond to the long line (...) of Hume critics who think his “science of human nature” is hardly science at all. According to this interpretive tradition, Hume’s “science” is merely the... (shrink)