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)

Some organisations make vaccination a condition of employment. This means prospective employees must demonstrate they have been vaccinated (eg, against measles) to be hired. But it also means organisations must decide whether _existing_ employees should be expected to meet newly introduced vaccination conditions (eg, against COVID-19). Unlike prospective employees who will not be _hired_ if they do not meet vaccination conditions, existing employees who fail to meet new vaccination conditions risk being _fired_. The latter seems worse than the former. Hence, (...) objections to vaccination mandates commonly centre on the harms that will be visited on existing employees who are unwilling to be vaccinated. However, because this objection does not necessarily entail the claim that vaccination is unnecessary for the effective and safe performance of certain jobs, those making this objection should have less of an objection, or no objection at all (at least on these grounds), to introducing vaccination requirements in some cases for _prospective_ employees. Yet, in this paper, I shall argue that if one has reason to believe vaccination requirements can be justified for prospective employees, one should also believe they are justified for existing employees _despite_ any asymmetry in consequences experienced by the two groups. As a consequence, common objections made against vaccination mandates grounded solely in the harms that may be experienced by existing employees who are unwilling to be vaccinated should be considered unpersuasive. (shrink)

This chapter outlines improvements and developments made to aim-oriented empiricism since "From Knowledge to Wisdom" was first published in 1984. It argues that aim-oriented empiricism enables us to solve three fundamental problems in the philosophy of science: the problems of induction and verisimilitude, and the problem of what it means to say of a physical theory that it is unified.

In _The Platonizing Sethian Background of Plotinus’s Mysticism_, Zeke Mazur offers a radical reconceptualization of Plotinus with reference to Gnostic thought and praxis, chiefly as evidenced by Coptic works among the Nag Hammadi Codices whose Greek Vorlagen were read in Plotinus’s school.

Conjectures are made on the text of three passages in Tibullus, Books 1–2: 1.4.26 hastam … suam for crines … suos, 2.1.56 membra for bache, 2.4.60 aliis rebus for alias herbas.

In this paper I outline my propensiton version of quantum theory (PQT). PQT is a fully micro-realistic version of quantum theory that provides us with a very natural possible solution to the fundamental wave/particle problem, and is free of the severe defects of orthodox quantum theory (OQT) as a result. PQT makes sense of the quantum world. PQT recovers all the empirical success of OQT and is, furthermore, empirically testable (although not as yet tested). I argue that Einstein almost put (...) forward this version of quantum theory in 1916/17 in his papers on spontaneous and induced radiative transitions, but retreated from doing so because he disliked the probabilistic character of the idea. Subsequently, the idea was overlooked because debates about quantum theory polarised into the Bohr/Heisenberg camp, which argued for the abandonment of realism and determinism, and the Einstein/Schrödinger camp, which argued for the retention of realism and determinism, no one, as a result, pursuing the most obvious option of retaining realism but abandoning determinism. It is this third, overlooked option that leads to PQT. PQT has implications for quantum field theory, the standard model, string theory, and cosmology. The really important point, however, is that it is experimentally testable. I indicate two experiments in principle capable of deciding between PQT and OQT. (shrink)

We present a multiscale integrationist interpretation of the boundaries of cognitive systems, using the Markov blanket formalism of the variational free energy principle. This interpretation is intended as a corrective for the philosophical debate over internalist and externalist interpretations of cognitive boundaries; we stake out a compromise position. We first survey key principles of new radical views of cognition. We then describe an internalist interpretation premised on the Markov blanket formalism. Having reviewed these accounts, we develop our positive multiscale account. (...) We argue that the statistical seclusion of internal from external states of the system—entailed by the existence of a Markov boundary—can coexist happily with the multiscale integration of the system through its dynamics. Our approach does not privilege any given boundary, nor does it argue that all boundaries are equally prescient. We argue that the relevant boundaries of cognition depend on the level being characterised and the explanatory interests that guide investigation. We approach the issue of how and where to draw the boundaries of cognitive systems through a multiscale ontology of cognitive systems, which offers a multidisciplinary research heuristic for cognitive science. (shrink)

Humanity faces two basic problems of learning: learning about the universe, and learning how to become civilized. We have solved the first problem, but not the second, and that puts us in a situation of great danger. Almost all our global problems have arisen as a result. It has become a matter of extreme urgency to solve the second problem. The key to that is to learn from our solution to the first problem how to solve the second one. This (...) was the basic idea of the 18th century Enlightenment, but in implementing it, the Enlightenment blundered. Their mistakes are still built into academia today. In order to create a civilized world, it is essential we cure academia of the structural blunders inherited from the Enlightenment. We need to bring about a revolution in science, and in academia more broadly so that the basic aim becomes wisdom, and not just knowledge. (shrink)

In _Neuroscience and Philosophy_ three prominent philosophers and a leading neuroscientist clash over the conceptual presuppositions of cognitive neuroscience. The book begins with an excerpt from Maxwell Bennett and Peter Hacker's _Philosophical Foundations of Neuroscience_ (Blackwell, 2003), which questions the conceptual commitments of cognitive neuroscientists. Their position is then criticized by Daniel Dennett and John Searle, two philosophers who have written extensively on the subject, and Bennett and Hacker in turn respond. Their impassioned debate encompasses a wide range of (...) central themes: the nature of consciousness, the bearer and location of psychological attributes, the intelligibility of so-called brain maps and representations, the notion of qualia, the coherence of the notion of an intentional stance, and the relationships between mind, brain, and body. Clearly argued and thoroughly engaging, the authors present fundamentally different conceptions of philosophical method, cognitive-neuroscientific explanation, and human nature, and their exchange will appeal to anyone interested in the relation of mind to brain, of psychology to neuroscience, of causal to rational explanation, and of consciousness to self-consciousness. In his conclusion Daniel Robinson (member of the philosophy faculty at Oxford University and Distinguished Professor Emeritus at Georgetown University) explains why this confrontation is so crucial to the understanding of neuroscientific research. The project of cognitive neuroscience, he asserts, depends on the incorporation of human nature into the framework of science itself. In Robinson's estimation, Dennett and Searle fail to support this undertaking; Bennett and Hacker suggest that the project itself might be based on a conceptual mistake. Exciting and challenging, _Neuroscience and Philosophy_ is an exceptional introduction to the philosophical problems raised by cognitive neuroscience. (shrink)

The crisis of our times is science without wisdom. It is the outcome of an astonishingly successful tradition of scientific and technological research pursued within the context of an academic inquiry that is profoundly and damagingly irrational, in a structural way, when judged from the standpoint of helping humanity make progress towards a wise, enlightened world. This damaging irrationality of academia goes back to the 18th century Enlightenment. The philosophes of the French Enlightenment, in implementing the profound idea that we (...) might learn from scientific progress how to achieve social progress towards an enlightened world, made three gross blunders – and it is these blunders, still uncorrected, that are built into academia today, and result in its current dysfunctional character. We urgently need to correct these blunders and transform academia, so that it becomes rationally, effectively and actively engaged in helping humanity discover what to do to solve the global problems that threaten our future, and thus make progress towards a good, enlightened world. (shrink)

This book argues for the need to put into practice a profound and comprehensive intellectual revolution, affecting to a greater or lesser extent all branches of scientific and technological research, scholarship and education. This intellectual revolution differs, however, from the now familiar kind of scientific revolution described by Kuhn. It does not primarily involve a radical change in what we take to be knowledge about some aspect of the world, a change of paradigm. Rather it involves a radical change in (...) the fundamental, overall intellectual aims and methods of inquiry. At present inquiry is devoted to the enhancement of knowledge. This needs to be transformed into a kind of rational inquiry having as its basic aim to enhance personal and social wisdom. This new kind of inquiry gives intellectual priority to the personal and social problems we encounter in our lives as we strive to realize what is desirable and of value – problems of knowledge and technology being intellectually subordinate and secondary. For this new kind of inquiry, it is what we do and what we are that ultimately matters: our knowledge is but an aspect of our life and being. (shrink)

This paper presents a version of neurophenomenology based on generative modelling techniques developed in computational neuroscience and biology. Our approach can be described as _computational phenomenology_ because it applies methods originally developed in computational modelling to provide a formal model of the descriptions of lived experience in the phenomenological tradition of philosophy (e.g., the work of Edmund Husserl, Maurice Merleau-Ponty, etc.). The first section presents a brief review of the overall project to naturalize phenomenology. The second section presents and evaluates (...) philosophical objections to that project and situates our version of computational phenomenology with respect to these projects. The third section reviews the generative modelling framework. The final section presents our approach in detail. We conclude by discussing how our approach differs from previous attempts to use generative modelling to help understand consciousness. In summary, we describe a version of computational phenomenology which uses generative modelling to construct a computational model of the inferential or interpretive processes that best explain this or that kind of lived experience. (shrink)

There is a need to bring about a revolution in the philosophy of science, interpreted to be both the academic discipline, and the official view of the aims and methods of science upheld by the scientific community. At present both are dominated by the view that in science theories are chosen on the basis of empirical considerations alone, nothing being permanently accepted as a part of scientific knowledge independently of evidence. Biasing choice of theory in the direction of simplicity, unity (...) or explanatory power does not permanently commit science to the thesis that nature is simple or unified. This current ‘paradigm’ is, I argue, untenable. We need a new paradigm, which acknowledges that science makes a hierarchy of metaphysical assumptions concerning the comprehensibility and knowability of the universe, theories being chosen partly on the basis of compatibility with these assumptions. Eleven arguments are given for favouring this new ‘paradigm’ over the current one. (shrink)

Two great problems of learning confront humanity: learning about the nature of the universe and our place in it, and learning how to become civilized. The first problem was solved, in essence, in the 17th century, with the creation of modern science. But the second problem has not yet been solved. Solving the first problem without also solving the second puts us in a situation of great danger. All our current global problems have arisen as a result. What we need (...) to do, in response to this unprecedented crisis, is learn from our solution to the first problem how to solve the second. This was the basic idea of the 18th century Enlightenment. Unfortunately, in carrying out this programme, the Enlightenment made three blunders, and it is this defective version of the Enlightenment programme that we have institutionalized in 20th century academic inquiry. In order to solve the second great problem of learning we need to correct the three blunders of the traditional Enlightenment. This involves changing the nature of social inquiry, so that social science becomes social methodology or social philosophy, concerned to help us build into social life the progress-achieving methods of aim-oriented rationality, arrived at by generalizing the progress-achieving methods of science. It also involves, more generally, bringing about a revolution in the nature of academic inquiry as a whole, so that it takes up its proper task of helping humanity learn how to become wiser by increasingly cooperatively rational means. The scientific task of improving knowledge and understanding of nature becomes a part of the broader task of improving global wisdom. (shrink)

In this paper I argue that neuroscience has been harmed by the widespread adoption of seriously inadequate methodologies or philosophies of science - most notably inductivism and falsificationism. I argue that neuroscience, in seeking to understand the human brain and mind, needs to follow in the footsteps of evolution.

Originally published in 1973, this book shows that methods developed for the semantics of systems of formal logic can be successfully applied to problems about the semantics of natural languages; and, moreover, that such methods can take account of features of natural language which have often been thought incapable of formal treatment, such as vagueness, context dependence and metaphorical meaning. Parts 1 and 2 set out a class of formal languages and their semantics. Parts 3 and 4 show that these (...) formal languages are rich enought to be used in the precise description of natural languages. Appendices describe some of the concepts discussed in the text. (shrink)

History of Cognitive Neuroscience documents the major neuroscientific experiments and theories over the last century and a half in the domain of cognitive neuroscience, and evaluates the cogency of the conclusions that have been drawn from them. Provides a companion work to the highly acclaimed Philosophical Foundations of Neuroscience – combining scientific detail with philosophical insights Views the evolution of brain science through the lens of its principal figures and experiments Addresses philosophical criticism of Bennett and Hacker?s previous book Accompanied (...) by more than 100 illustrations. (shrink)

In a recent paper, Howard Stein makes a number of criticisms of an earlier paper of mine ('Are Probabilism and Special Relativity Incompatible?', Phil. Sci., 1985), which explored the question of whether the idea that the future is genuinely 'open' in a probabilistic universe is compatible with special relativity. I disagree with almost all of Stein's criticisms.

The Urgent Need for an Intellectual Revolution For much of my working life (from 1972 onwards) I have argued, in and out of print, that we need to bring about a revolution in the aims and methods of science – and of academic inquiry more generally. Instead of giving priority to the search for knowledge, academia needs to devote itself to seeking and promoting wisdom by rational means, wisdom being the capacity to realize what is of value in life, for (...) oneself and others, wisdom thus including knowledge, understanding and technological know-how, but much else besides. A basic task ought to be to help humanity learn how to create a better world. (shrink)

This paper aims to address the relevance of the natural sciences for transcendental phenomenology, that is, the issue of naturalism. The first section distinguishes three varieties of naturalism and corresponding forms of naturalization: an ontological one, a methodological one, and an epistemological one. In light of these distinctions, in the second section, I examine the main projects aiming to “naturalize phenomenology”: neurophenomenology, front-loaded phenomenology, and formalized approaches to phenomenology. The third section then considers the commitments of Husserl’s transcendental phenomenology with (...) respect to the three varieties of naturalism previously discussed. I argue that Husserl rejected strong and weak forms of epistemological naturalism, strong methodological naturalism, and ontological naturalism. The fourth section presents the argument that Husserl endorsed a weak, conditional form of methodological naturalism. This point is illustrated with Husserl’s proposal of “somatology,” a natural science apt to study the corporeality of the lived body. The final section addresses the complementarity and respective limits of the transcendental phenomenological and the natural scientific frameworks. I argue that, on Husserl’s account, the function of transcendental phenomenology with respect to the natural sciences is to provide them with an epistemological foundation and an ontological clarification. I suggest that certain natural sciences can be understood, within the transcendental phenomenological framework, as “sciences of constitution,” that is, as sciences investigating the contribution of real structures acting as conditions of possibility for the occurrence of certain kinds of comprehensive unities in lived experience. (shrink)

The most powerful lesson learned from the 2013-2016 outbreak of Ebola in West Africa was that we do not learn our lessons. A common sentiment at the time was that Ebola served as a “wake-up call”—an alarm which signalled that an outbreak of that magnitude should never have occurred and that we are ill-prepared globally to prevent and respond to them when they do. Pledges were made that we must learn from the outbreak before we were faced with another. Nearly (...) five years later the world is in the grips of a pandemic of the severe acute respiratory syndrome coronavirus 2 that causes coronavirus disease 2019. It is therefore of no surprise that we are now yet again hearing that the COVID-19 pandemic serves as the “wake-up call” we need and that there are many lessons to be learned to better prepare us for future outbreaks. Will anything be different this time around? We argue that nothing will fundamentally change unless we truly understand and appreciate the nature of the lessons we should learn from these outbreaks. Our past failures must be understood as moral failures that offer moral lessons. Unless we appreciate that we have a defect in our collective moral attitude toward remediating the conditions that precipitate the emergence of outbreaks, we will never truly learn. (shrink)

Lakatos held that science proceeds by means of competing research programme, each with its own “hard core” or paradigm. He intended this view to reconcile the competing views of Kuhn and Popper. But what Lakatos overlooked is that science needs to be construed to be one gigantic research programme with, as its “hard core”, a metaphysical thesis that asserts that the universe is such that there is an inherent unity in the laws that govern the way physical phenomena occur. The (...) conception of science that emerges from this insight succeeds in doing what Lakatos’s own view fails to do; it has fruitful implications for science itself, and solves the problem of induction. (shrink)

This study was designed to determine the quality of service through the evaluation of hospitalized patients. An analysis of hospitalized patients’ subjective feelings towards service quality was carried out, in the context of the application of the SERVQUAL method. The pilot study was conducted in a Silesian hospital in a group of 29 young patients diagnosed with kidney disease. The study used a standard sheet of 22 SERVQUAL statements and an analysis of the significance of the 5 areas of quality (...) material important for the patient. According to the respondents, the most important of the 5 features that influence the quality of life is the ability of the ward staff to provide adequate medical services The least important were the aesthetics and ergonomics of rooms. Service quality gaps were seen in all the five dimensions as well as in the overall service quality. Hence, the following conclusions could be made: 1. The SERVQUAL method helps to identify discrepancies between perceptions of patients’ expectations in all the dimensions of quality of medical services. 2. For patients, the least important is the material dimension, whereas the one most affecting them is the dimension associated with the reliability of medical services. 3. An improvement of the level of satisfaction with the quality of medical services requires proper planning and effectiveness of implementation of health care services. 4. Research should be conducted on a larger population of patients. (shrink)

Emotion sharing plays a key role in many accounts of empathy. However, some equate emotion sharing with emotional “contagion” and thereby discount it as a form of empathy. In what follows, I clarify the nature of empathic emotion sharing and differentiate it from contagion. I first reflect on the notions of sharing an object and of sharing a life, arguing that each has four core features. I then argue that emotion sharing also has those features. These characteristics allow me to (...) distinguish emotion sharing from contagion and other phenomena like it. I end by offering positive reasons for seeing emotion sharing as a form of empathy – i.e., it provides knowledge of others’ mental states and aids in moral development. (shrink)

We ordinarily assume that we have reliable knowledge of our immediate surroundings, so much so that almost all the time we entrust our lives to the truth of what we take ourselves to know, without a moment’s thought. But if, as Karl Popper and others have maintained, all our knowledge is conjectural, then this habitual assumption that our common sense knowledge of our environment is secure and trustworthy would seem to be an illusion. Popper’s philosophy of science, in particular, fails (...) to do justice to the distinction we ordinarily draw between secure knowledge and mere conjecture. But Popper’s philosophy of science, in particular his attempted solution to the problem of induction, is defective. It fails to take into account that physics, in only accepting unified theories, even though endlessly empirically more successful disunified rivals are always available, makes the persistent metaphysical assumption that all disunified theories are false. Once this point is acknowledged, it becomes clear that a new conception of scientific method is required which sees science as making a hierarchy of metaphysical assumptions concerning the comprehensibility and knowability of the universe. This provides a framework of relatively unproblematic assumptions and associated methods of science within which much more problematic assumptions and associated methods can be critically assessed and improved. This hierarchical view seems at first to intensify the problem of distinguishing certainty from conjecture, in that it emphasizes that scientific knowledge, and even humble common sense knowledge, contain usually unacknowledged cosmological conjectures. But actually it explicates the basis we have for drawing the distinction between trustworthy knowledge and mere conjecture, and even goes some way towards providing a rationale for this distinction, in so far as one exists. (shrink)

In 1885, during initial discussions of J. C. Maxwell's celebrated thermodynamic demon, Whiting(1) observed that the demon-like velocity selection of molecules can occur in a gravitationally bound gas. Recently, a gravitational Maxwell demon has been proposed which makes use of this observation [D. P. Sheehan, J. Glick, and J. D. Means, Found. Phys. 30, 1227 (2000)]. Here we report on numerical simulations that detail its microscopic phase space structure. Results verify the previously hypothesized mechanism of its paradoxical behavior. (...) This system appears to be the only example of a fully classical mechanical Maxwell demon that has not been resolved in favor of the second law of thermodynamics. (shrink)

Research conducted during epidemics may warrant adaptations or adaptive designs owing to practical constraints, time pressures, uncertainty, the importance of flexibility, and the potential for research to detract from epidemic response. Adapting research entails choosing different research designs or methods if research goals, contexts or constraints justify or require a different approach. Adaptive research, by contrast, is a type of research that prospectively plans for modifications after research has been initiated, while maintaining the validity and integrity of the research. While (...) adaptation and adaptive designs introduce an important degree of flexibility to research conducted during epidemics and help to address research objectives and constraints, adaptation and adaptive designs require close ethical scrutiny and are no different from other research in that they are expected to align with universally accepted ethical standards. Important ethical questions exist regarding the conditions that justify adaptations to research, the kinds of adaptive research designs that can be ethically justified, and how ethics review bodies ought to evaluate such novel approaches to research in epidemic contexts. The five cases included in this chapter prompt reflection on the ethical considerations and implications of adapting research in response to epidemic-related risks and the public health measures deployed in response to those risks, as well as the ethical implications of not adapting research in such contexts. These cases also highlight ethical questions and issues arising during the conduct of adaptive trials, including when treatments under study, treatment doses, sample size, and other study features are reviewed in response to evolving evidence. This chapter invites reflection on these key ethical dimensions when considering adaptive designs and adaptations to standard research procedures during epidemics. What these cases make clear is that adaptive designs and adaptations to research do not reduce the need for rigorous scientific evaluation and adherence to universal ethical standards, and must be explicitly ethically justified and reviewed through transparent and inclusive processes. (shrink)

Recent work on empathy has focused on the phenomenon of feeling on behalf of, or for, others, and on determining the role it ought to play in our moral lives. Much less attention, however, has been paid to ‘feeling-with.’ In this paper, I distinguish ‘feeling-with’ from ‘feeling-for.’ I identify three distinguishing features of ‘feeling-with,’ all of which serve to make it distinct from empathy. Then, drawing on work in feminist moral psychology and feminist ethics, I argue that ‘feeling-with’ has unique (...) moral value over and above ‘feeling-for.’ I end by rebutting some likely objections to the claim that ‘feeling-with’ is morally valuable. (shrink)

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

A scientific theory, in order to be accepted as a part of theoretical scientific knowledge, must satisfy both empirical and non-empirical requirements, the latter having to do with simplicity, unity, explanatory character, symmetry, beauty. No satisfactory, generally accepted account of such non-empirical requirements has so far been given. Here, a proposal is put forward which, it is claimed, makes a contribution towards solving the problem. This proposal concerns unity of physical theory. In order to satisfy the non-empirical requirement of unity, (...) a physical theory must be such that the same laws govern all possible phenomena to which the theory applies. Eight increasingly demanding versions of this requirement are distinguished. Some implications for other non-empirical requirements, and for our understanding of science are indicated. (shrink)

Three experiments are reported in which the relationships between task format, item type, and strategy usage were investigated for a two-dimensional relational inference task. Contrary to past findings with linear syllogisms, it was found that parallel presentation (presenting problem statements simultaneously) did not result in any increased use of deduction rule processes compared with serial presentation (presenting problem statements individually). Instead, the results suggested that mental models were used by the majority of subjects, and that multiple models were more likely (...) to be constructed with parallel presentation. It is proposed that, in general, multiple model construction will be more frequent for deduction tasks where the cognitive load is relatively low. Hence, contrary to suggestions by Polk and Newell (1995), reasoning in this way appears to be prevalent and highly robust - where supported by task format - even where the use of this strategy is disadvantageous. (shrink)

This article argues that we could improve the design of research protocols by developing an awareness of and a responsiveness to the social contexts of all the actors in the research enterprise, including subjects, investigators, sponsors, and members of the community in which the research will be conducted. ?Social context? refers to the settings in which the actors are situated, including, but not limited to, their social, economic, political, cultural, and technological features. The utility of thinking about social contexts is (...) introduced and exemplified by the presentation of a hypothetical case in which one central issue is limitation of the probability of injury to subjects by selection of individuals who are not expected to live long enough for the known risks of the study to become manifest as harms. Benefits of such considerations may include enhanced subject satisfaction and cooperation, community acceptance, and improved data quality, among other desirable consequences. (shrink)

McTaggart distinguished two conceptions of time: the A-series, according to which events are either past, present or future; and the B-series, according to which events are merely earlier or later than other events. Elsewhere, I have argued that these two views, ostensibly about the nature of time, need to be reinterpreted as two views about the nature of the universe. According to the so-called A-theory, the universe is three dimensional, with a past and future; according to the B-theory, the universe (...) is four dimensional. Given special relativity (SR), we are obliged, it seems, to accept (a modified version of) the B-series, four dimensional view, and reject the A-series, three dimensional view, because SR denies that there is a privileged, instantaneous cosmic "now" which seems to be required by the A-theory. Whether this is correct or not, it is important to remember that the fundamental problem, here, is not "What does SR imply?", but rather "What is the best guess about the ultimate nature of the universe in the light of current theoretical knowledge in physics?". In order to know how to answer this question, we need to have some inkling as to how the correct theory of quantum gravity incorporates quantum theory, probability and time. This is, at present, an entirely open question. String theory, or M-theory, seems to evade the issue, and other approaches to quantum gravity seem equally evasive. However, if probabilism is a fundamental feature of ultimate physical reality, then it may well be that the A-theory, or rather a closely related doctrine I call “objectism”, is built into the ultimate constitution of things. (shrink)

Most scientists and philosophers of science recognize that, when it comes to accepting and rejecting theories in science, considerations that have to do with simplicity, unity, symmetry, elegance, beauty or explanatory power have an important role to play, in addition to empirical considerations. Until recently, however, no one has been able to give a satisfactory account of what simplicity (etc.) is, or how giving preference to simple theories is to be justified. But in the last few years, two different but (...) related accounts have appeared, both of which address the above issues. On the one hand, James McAllister has argued that aesthetic criteria in science reflect scientists' judgements about what kind of theory is most likely to be empirically successful, based on the relative empirical success and failure of different kinds of theories in the past. Scientists employ what McAllister dubs "the aesthetic induction". On the other hand, I have argued that we need to see science as making a hierarchy of metaphysical assumptions about the comprehensibility and knowability of the universe, these assumptions asserting less and less as one ascends the hierarchy. One of the more substantial of these assumptions is that the universe is physically comprehensible. The key non-empirical feature a body of fundamental theories in physics must possess to be acceptable is unity. The better such a body of theory exemplifies the metaphysical thesis that the universe is physically comprehensible, in the sense that it has a unified dynamic structure, so the more acceptable such a body of theory is, from this standpoint. This affects not just theoretical physics, but the whole of natural science. In this paper I compare and contrast, and try to assess impartially the relative merits of, these two views. (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)

The world faces grave global problems. These have been made possible by modern science and technology. We have put knowledge-inquiry into academic practice – a seriously irrational kind of inquiry that seeks knowledge and technological know-how dissociated from a more fundamental concern to seek and promote wisdom. We urgently need to bring about a revolution in academic inquiry, so that knowledge-inquiry becomes wisdom-inquiry – a kind of inquiry rationally designed and devoted to helping humanity make progress towards a wiser world. (...) In this paper I indicate what needs to change if knowledge-inquiry is to become wisdom-inquiry, and I indicate a number of recent developments, mainly in universities in the UK, that can be regarded as first steps towards wisdom-inquiry. (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)

There are two problems of simplicity. What does it mean to characterize a scientific theory as simple, unified or explanatory in view of the fact that a simple theory can always be made complex (and vice versa) by a change of terminology? How is preference in science for simple theories to be justified? In this paper I put forward a proposal as to how the first problem is to be solved. The more nearly the totality of fundamental physical theory exemplifies (...) the metaphysical thesis that the universe has a unified dynamic structure, so the simpler that totality of theory is. What matters is content, not form. This proposed solution may appear to be circular, but I argue that it is not. Towards the end of the paper I make a few remarks about the second, justificational problem of simplicity. (shrink)