Selectionist evolutionary theory has often been faulted for not making novel predictions that are surprising, risky, and correct. I argue that it in fact exhibits the theoretical virtue of predictive capacity in addition to two other virtues: explanatory unification and model fitting. Two case studies show the predictive capacity of selectionist evolutionary theory: parallel evolutionary change in E. coli, and the origin of eukaryotic cells through endosymbiosis.

It is a common complaint that antireductionist arguments are primarily negative. Here I describe an alternative nonreductionist epistemology based on considerations taken from multidisciplinary research in biology. The core of this framework consists in seeing investigation as coordinated around sets of problems (problem agendas) that have associated criteria of explanatory adequacy. These ideas are developed in a case study, the explanation of evolutionary innovations and novelties, which demonstrates the applicability and fruitfulness of this nonreductionist epistemological perspective. This account also bears (...) on questions of conceptual change and theory structure in philosophy of science. †To contact the author, please write to: Department of Philosophy, University of Minnesota, 831 Heller Hall, 271 19th Ave. S., Minneapolis, MN 55455; e‐mail: [email protected]. (shrink)

Larry Laudan has recently advanced a philosophy of science that appears to answer both Kuhnian critics of the rationality of science, on the one hand, and interpretive and critical theorists' objections to a naturalistic social science, on the other. Like Lakatos before him, Laudan argues that scientific progress is indeed a rational affair. But Laudan goes one step further, arguing that his analysis yields a set of rational criteria for theory choice. In addition, Laudan explicitly claims that the standard he (...) proposes can be applied in any realm of empirical inquiry. Employing a case study of the development of strategic doctrine during the Cold War period, I show this latter claim to be false. Because Laudan's standard for theory choice depends on an exclusively cognitive calculus, it cannot account for, much less help us weigh, the practical implications of theory choice. I conclude that such an accounting procedure may be appropriate for the natural sciences but can hardly be adequate in the realm of thermonuclear politics, where theory choice carries with it potentially catastrophic practical consequences. More generally, choosing from among competing political theories must make explicit room for discursive argument. (shrink)

Popper's thesis that the growth of knowledge lies in the emergence of problems out of criticism and takes place in an autonomous world of products of the human mind (his so-called world-3) raises two questions: (1) Why does criticism lead to new problems, and (2) Why can only a limited number of tentative solutions arise at a given time? I propose the following answer: Criticism entails an overlooked evolutionary world-3 mechanism, namely, the migration of piece meal conceptual schemes from one (...) research tradition to another. Popper by passed the questions above because he relied very heavily on the selective power of criticism. (shrink)

The main aim of this paper is to revisit the curve fitting problem using the reliability of inductive inference as a primary criterion for the ‘fittest' curve. Viewed from this perspective, it is argued that a crucial concern with the current framework for addressing the curve fitting problem is, on the one hand, the undue influence of the mathematical approximation perspective, and on the other, the insufficient attention paid to the statistical modeling aspects of the problem. Using goodness-of-fit as the (...) primary criterion for ‘best', the mathematical approximation perspective undermines the reliability of inference objective by giving rise to selection rules which pay insufficient attention to ‘accounting for the regularities in the data'. A more appropriate framework is offered by the error-statistical approach, where (i) statistical adequacy provides the criterion for assessing when a curve captures the regularities in the data adequately, and (ii) the relevant error probabilities can be used to assess the reliability of inductive inference. Broadly speaking, the fittest curve (statistically adequate) is not determined by the smallness if its residuals, tempered by simplicity or other pragmatic criteria, but by the nonsystematic (e.g. white noise) nature of its residuals. The advocated error-statistical arguments are illustrated by comparing the Kepler and Ptolemaic models on empirical grounds. ‡I am grateful to Deborah Mayo and Clark Glymour for many valuable suggestions and comments on an earlier draft of the paper; estimating the Ptolemaic model was the result of Glymour's prompting and encouragement. †To contact the author, please write to: Department of Economics, Virginia Tech 3019 Pamplin Hall (0316), Blacksburg, VA 24061; e-mail: [email protected]. (shrink)

Methodological norms are seen as rules defining a competitive game, and it is argued that rational recognition-seeking scientists can reach a collective agreement about which specific norms serve better their individual interests, especially if the choice is made `under a veil of ignorance', i.e. , before knowing what theory will be proposed by each scientist. Norms for theory assessment are distinguished from norms for theory choice (or inference rules), and it is argued that pursuit of recognition only affects this second (...) type of rule. An inference rule similar to `eliminative induction' is defended on the basis of such a possible agreement. According to this contractarian approach, both the explanation and the justification of scientific norms only need to refer to the preferences of individual scientists, without assuming the existence of `collective' points of view. (shrink)

Recognition that biological systems are stabilized far from equilibrium by self-organizing, informed, autocatalytic cycles and structures that dissipate unusable energy and matter has led to recent attempts to reformulate evolutionary theory. We hold that such insights are consistent with the broad development of the Darwinian Tradition and with the concept of natural selection. Biological systems are selected that re not only more efficient than competitors but also enhance the integrity of the web of energetic relations in which they are embedded. (...) But the expansion of the informational phase space, upon which selection acts, is also guaranteed by the properties of open informational-energetic systems. This provides a directionality and irreversibility to evolutionary processes that are not reflected in current theory.For this thermodynamically-based program to progress, we believe that biological information should not be treated in isolation from energy flows, and that the ecological perspective must be given descriptive and explanatory primacy. Levels of the ecological hierarchy are relational parts of ecological systems in which there are stable, informed patterns of energy flow and entropic dissipation. Isomorphies between developmental patterns and ecological succession are revealing because they suggest that much of the encoded metabolic information in biological systems is internalized ecological information. The geneological hierarchy, to the extent that its information content reflects internalized ecological information, can therefore be redescribed as an ecological hierarchy. (shrink)

This paper describes the corner-stones of a means-ends approach to the philosophy of inductive inference. I begin with a fallibilist ideal of convergence to the truth in the long run, or in the 'limit of inquiry'. I determine which methods are optimal for attaining additional epistemic aims (notably fast and steady convergence to the truth). Means-ends vindications of (a version of) Occam's Razor and the natural generalizations in a Goodmanian Riddle of Induction illustrate the power of this approach. The paper (...) establishes a hierarchy of means-ends notions of empirical success, and discusses a number of issues, results and applications of means-ends epistemology. (shrink)

There is a rather striking video currently used in police training. A firearms officer is caught on video shooting an armed suspect. The officer then gives his account of what happened, and there is no suggestion that he is tying to fabricate evidence. He says that he shot the suspect once; his partner says that he fired two shots. On the video we see four shots being deliberately fired. Memory, it seems, is an unreliable witness in situations of stress.

Figuring prominently in their decisions regarding which theories to pursue are scientists' appeals to the promise or lack of promise of those theories. Yet philosophy of science has had little to say about how one is to assess theory promise. This essay identifies several indices that might be consulted to determine whether or not a theory is promising and worthy of pursuit. Various historical examples of appeals to such indices are introduced.

This paper describes a theory of accuracy or approximate truth and applies it to problems in the realist interpretation of scientific theories. It argues not only that realism requires approximate truth, but that an adequate theory of approximation also presupposes some elements of a realist interpretation of theories. The paper distinguishes approximate truth from vagueness, probability and verisimilitude, and applies it to problems of confirmation and deduction from inaccurate premises. Basic results are cited, but details appear elsewhere. Objections are surveyed, (...) including arguments by Miller, Laymon, and Laudan. Comparison is made with Niiniluoto's theory of verisimilitude, and the utility of his theory for realism assessed. (shrink)

This discussion adjudicates a dispute between Larry Laudan and Gerald Doppelt over the nature of methodological rules. Laudan holds that all methodological rules are hypothetical imperatives, while Doppelt argues that a subset of those rules, basic methodological standards, are not hypothetical imperatives. I argue that neither writer offers a satisfactory account of methodological rules and that their reliance on the hypothetical/nonhypothetical distinction does not advance our understanding of methodological rules. I propose that we dispense with this dubious distinction and develop (...) an alternative account of scientific norms. (shrink)

The idea that science aspires to and routinely achieves truths about the world has been challenged in recent writings. Rather than beginning with a theory of scientific development, or of scientific explanation, we begin with a consideration of truth claims in ordinary discourse, particularly with Davidson's truth-functional semantics. Next we consider the way in which some framework features of ordinary language discourse are extended to and modified in scientific discourse. Two areas are treated in more detail: quantum theory, and the (...) peculiar problem of semantic entailment it involves; and quantum field theory. These supply a basis for criticizing some historicist and logicist treatments of the truth of scientific claims. (shrink)

The paper investigates the implications of a nonaprioristic philosophy of science. It starts by developing a scheme of justification which draws its norms from the prevailing paradigm of rationality, which need not be universal or external. If the requirement for normativity is then abandoned we do not end up with a descriptive philosophy of science. The alternative to a prescriptive philosophy of science is a theoretical explanation of scientific decisions and acts. Explanation, rather than mere description, replaces justification; and the (...) paradigm of rationality becomes a scientific paradigm. The implications of these results for the discovery-justification distinction are investigated. An explanatory philosophy of science deals with the generation, as well as with the selection of scientific conjectures: both contexts have an epistemic dimension. * This paper was written under the auspices of the Wolfson Chair Extrordinary of Theoretical Physics, Tel Aviv University. (shrink)

R. Laudan and L. Laudan (1989) have put forth a new model intended to solve the problem of disagreement, the problem of consensus, and the problem of innovation in science. In support of this model they cite the history of the acceptance of continental drift, or plate tectonics. In this discussion, I claim that this episode does not constitute an instance of their model. The historical evidence does not support this model. Indeed, closer examination seems to weaken it. I also (...) sketch an alternative model. (shrink)

In this note I test a specific thesis about the dependence of philosophy of science on science that Laudan presents in his Science and Hypothesis; namely, that the sciences were justificationally prior to the philosophy of science. I argue that Laudan's historical case studies show a justificational priority that goes the other way. I also argue that the justificational role that in Progress and Its Problems the history of science is alleged to play vis-à-vis competing conceptions of scientific rationality is (...) not apparent in Laudan's argumentation in favor of his suggested analysis in terms of problem-solving effectiveness. (shrink)

Issues of methodology are central to the philosophy of moral progress. However, the idea that effective moral methodology, as well as being instrumental to progress, might also constitute progress has not been adequately explored. This paper will critically assess the merits of this idea – what I call ‘pure proceduralism about moral progress’ – taking Philip Kitcher's recent theory of ‘democratic contractualism’ (2021) as a test case. An epistemology of pure procedural moral progress will be sketched: namely, a naturalised epistemology (...) of paradigmatic instances of moral progress. Assuming an ideal procedure exists and has been at least approximately instantiated (an empirical claim), we learn about its form by studying paradigms of historical moral progress. From this epistemological method will be derived theoretical constraints on what can count as a theory of moral progress per se: it must capture the core semantic constraints on the term ‘moral progress,’ those features without which we would not recognise a change as moral progress. While this poses a tougher challenge for pure proceduralism than for more traditional approaches to moral methodology, it will be concluded that the potential of pure proceduralism as a viable metaethics of moral progress remains an exciting open question. (shrink)

In this paper, I argue that computationalism is a progressive research tradition. Its metaphysical assumptions are that nervous systems are computational, and that information processing is necessary for cognition to occur. First, the primary reasons why information processing should explain cognition are reviewed. Then I argue that early formulations of these reasons are outdated. However, by relying on the mechanistic account of physical computation, they can be recast in a compelling way. Next, I contrast two computational models of working memory (...) to show how modeling has progressed over the years. The methodological assumptions of new modeling work are best understood in the mechanistic framework, which is evidenced by the way in which models are empirically validated. Moreover, the methodological and theoretical progress in computational neuroscience vindicates the new mechanistic approach to explanation, which, at the same time, justifies the best practices of computational modeling. Overall, computational modeling is deservedly successful in cognitive science. Its successes are related to deep conceptual connections between cognition and computation. Computationalism is not only here to stay, it becomes stronger every year. (shrink)

Psychological-epistemic accounts take scientific progress to consist in the development of some psychological-epistemic attitude. Disagreements over what the relevant attitude is – true belief, knowledge, or understanding – divide proponents of the semantic, epistemic, and noetic accounts of scientific progress, respectively. Proponents of all such accounts face a common challenge. On the face of it, only individuals have psychological attitudes. However, as I argue in what follows, increases in individual true belief, knowledge, and understanding are neither necessary nor sufficient for (...) scientific progress. Rather than being fatal to the semantic, epistemic, and noetic accounts, this objection shows that these accounts are most plausible when they take the psychological states relevant to scientific progress to be states of communities, rather than individuals. I draw on recent work in social epistemology to develop two ways in which communities can be the bearers of irreducible psychological-epistemic states. Each way yields a strategy by which proponents of one of the psychological-epistemic accounts might attempt to account for the social dimensions of scientific progress. While I present serious reasons for concern about the first strategy, I argue that the second strategy, at least, offers a promising path forward for a psychological-epistemic account of scientific progress. (shrink)

Michael Friedman’s Dynamics of Reason is a welcome contribution to the ongoing articulation of philosophical perspectives for understanding the sciences in the context of post-positivist philosophy of science. Two perspectives that have gained advocacy since the demise of the “received view” are Quinean naturalism and Kuhnian relativism. In his 1999 Stanford lectures, Friedman articulates and defends a neo-Kantian perspective for philosophy of science that opposes both of these perspectives. His proffered neo-Kantian perspective is presented within the context of the problem (...) of theory change or “scientific revolutions,” and its main feature is a conception of scientific knowledge that requires “relativized constitutive a priori principles.” The lectures make up the first part of the book; the second part of the book, “Fruits of Discussion,” is a further elaboration and defence of the ideas advanced in the lectures. The resulting book serves as a useful sequel to Friedman’s impressive historical studies in Foundations of Space-Time Theories, Kant and the Exact Sciences, and Reconsidering Logical Positivism. In the preface, Friedman tells us that this book represents the philosophical viewpoint that he has arrived at as a result of completing these works. As such, it is not surprising that the prominent themes of the book are ones that have occupied Friedman’s attention in the past, viz., the importance of a priori principles in the exact sciences, the conventionalism of the logical positivists, and, more generally, an articulation of what remains defensible in neo-Kantian philosophy of science. (shrink)

The implementation of Responsible Research and Innovation is not without its challenges, and one of these is raised when societal desirability is included amongst the RRI principles. We will argue that societal desirability is problematic even though it appears to fit well with the overall ideal. This discord occurs partly because the idea of societal desirability is inherently ambiguous, but more importantly because its scope is unclear. This paper asks: is societal desirability in the spirit of RRI? On von Schomberg’s (...) account, it seems clear that it is, but societal desirability can easily clash with what is ethically permissible; for example, when what is desirable in a particular society is bad for the global community. If that society chose not to do what was desirable for it, the world would be better off than if they did it. Yet our concern here is with a more complex situation, where there is a clash with ethical acceptability, but where the world would not be better off if the society chose not do what was societally desirable for itself. This is the situation where it is argued that someone else will do it if we do not. The first section of the paper gives an outline of what we take technology to be, and the second is a discussion of which criteria should be the basis for choosing research and innovation projects. This will draw on the account of technology outlined in the first section. This will be followed by an examination of a common argument, “If we don’t do it, others will”. This argument is important because it appears to justify acting in morally dubious ways. Finally, it will be argued that societal desirability gives support to the “If we don’t…” argument and that this raises some difficulties for RRI. (shrink)

In this paper, I argue that analyzing pursuitworthiness in science requires that we study possible futures of science. The merits of different criteria of pursuitworthiness need to be assessed against scenarios of the future of science. Different criteria recognize and ignore different scenarios. As a consequence, different criteria enable us to manage different future possibilities. While it might be impossible to predict the future of science, there are still many interesting things we can say about the possible futures of science. (...) We can construct scenarios of the future of science on the basis of philosophical accounts of science. I point out that the topic of pursuitworthiness is not the only topic that can be approached by connecting philosophy of science with the construction of scenarios. (shrink)

In this paper, I offer an explication of the notion of local explanation. In the literature, local explanations are considered as metaphysically and methodologically satisfactory: local explanations reveal the contingency of science and provide a methodologically sound historiography of science. However, the lack of explication of the notion of local explanation makes these claims difficult to assess. The explication provided in this paper connects the degree of locality of an explanans to the degree of contingency of the explanandum. Moreover, the (...) explication is shown to be compatible with the methodological need for a general consideration in the historiography of science. In this way, the explication satisfies the need to explicate an important notion, connects local explanations and contingency, and enables us to see how local explanations and general considerations can be connected. However, the explication also sheds critical light on many claims and expectations that are associated with local explanations and their satisfactoriness. (shrink)

On a cultural level, and for Christian theology as part of a long tradition in the evolution of religion, evolutionary epistemology “sets the stage,” as it were, for understanding the deep evolutionary impact of our ancestral history on the evolution of culture, and eventually on the evolution of disciplinary and interdisciplinary reflection. In the process of the evolution of human knowledge, our interpreted experiences and expectations of the world (and of the ultimate questions we humans typically pose to the world) (...) have a central role to play. What evolutionary epistemology also shows us is that we humans can indeed take on cognitive goals and ideals that cannot be explained or justified in terms of survival‐promotion or reproductive advantage only. Therefore, once the capacities for rational knowledge, moral sensibility, aesthetic appreciation of beauty, and the propensity for religious belief have emerged in our biological history, they cannot be explained only in biological/evolutionary terms. Finally, in this way a door is opened for seeing problem solving as a central activity of our research traditions. As philosophers of science have argued, one of the most important shared rational resources between even widely divergent disciplines is problem solving as the most central and defining activity of all research traditions. As will become clear, the very diverse reasoning strategies of theology and the sciences clearly overlap in their shared quests for intelligible problem solving, including problem solving on an empirical, experiential, and conceptual level. (shrink)

Charles Perrow used the term normal accidents to characterize a type of catastrophic failure that resulted when complex, tightly coupled production systems encountered a certain kind of anomalous event. These were events in which systems failures interacted with one another in a way that could not be anticipated, and could not be easily understood and corrected. Systems of the production of expert knowledge are increasingly becoming tightly coupled. Unlike classical science, which operated with a long time horizon, many current forms (...) of expert knowledge are directed at immediate solutions to complex problems. These are prone to breakdowns like the kind discussed by Perrow. The example of the Homestake mine experiment shows that even in modern physics complex systems can produce knowledge failures that last for decades. The concept of knowledge risk is introduced, and used to characterize the risk of failure in such systems of knowledge production. (shrink)

My purpose in this paper is to show how a re-examination of Snow’s famous South London water study, widely taken to have established that cholera is water-borne, highlights some problems with current, scientific realist accounts of theory-change. When examining scientific controversies, such accounts focus disproportionately on the ‘winning’ theories and their properties, or on those of the reasoning of the scientists who proposed them. I argue that this focus is misguided and leads us to neglect much of what is epistemically (...) valuable in episodes of theory-change, thereby leading to inaccurate views about both the dynamics of theory-change and the notion of scientific progress that accompanies it. I end by sketching some implications for the philosophy of epidemiology. (shrink)

Michael Friedman’s Dynamics of Reason is a welcome contribution to the ongoing articulation of philosophical perspectives for understanding the sciences in the context of post-positivist philosophy of science. Two perspectives that have gained advocacy since the demise of the “received view” are Quinean naturalism and Kuhnian relativism. In his 1999 Stanford lectures, Friedman articulates and defends a neo-Kantian perspective for philosophy of science that opposes both of these perspectives. His proffered neo-Kantian perspective is presented within the context of the problem (...) of theory change or “scientific revolutions,” and its main feature is a conception of scientific knowledge that requires “relativized constitutive a priori principles.” The lectures make up the first part of the book; the second part of the book, “Fruits of Discussion,” is a further elaboration and defence of the ideas advanced in the lectures. The resulting book serves as a useful sequel to Friedman’s impressive historical studies in Foundations of Space-Time Theories, Kant and the Exact Sciences, and Reconsidering Logical Positivism. In the preface, Friedman tells us that this book represents the philosophical viewpoint that he has arrived at as a result of completing these works. As such, it is not surprising that the prominent themes of the book are ones that have occupied Friedman’s attention in the past, viz., the importance of a priori principles in the exact sciences, the conventionalism of the logical positivists, and, more generally, an articulation of what remains defensible in neo-Kantian philosophy of science. (shrink)

Philosophers of science have in recent years become increasingly interested in the notion of interdisciplinarity. One important form interdisciplinarity can take is that of a dynamic exchange of problems and solutions between disciplines—what has recently been called problem-feeding. On this model problems arising within specific disciplines are sometimes solved more effectively by, or in collaboration with, other disciplines. In this paper we explore this model as a framework for thinking about, and actively structuring, interdisciplinary research. We point to the applicability (...) of the problem-feeding model, and to some of the prerequisites of problem-feeding interdisciplinarity, highlighting in particular the harmonisation of goals and the establishment of mutual trust between disciplines. (shrink)

Ludwik Fleck’s Genesis and Development of a Scientific Fact is an extended argument for the inclusion of social factors in the history and philosophy of science. Fleck uses the history of syphilis as his case study, which falls into two parts. In the first two chapters of his book, Fleck presents a history of the change of the concept of syphilis as a “carnal scourge with strong moralistic connotations” in the middle ages to the modern concept of syphilis as an (...) infectious disease (1979, 77). In the second part of the book, he presents a detailed account of the development of a serum test for syphilis, the Wasserman reaction. Fleck also argues that perception is theory-laden, for example, in his comparative study of anatomical drawings, and for the importance of social pressures on the development of science, for example, in his discussion of the rivalry between nations to first develop a cure for syphilis, as demanded by politicians (1979, 133 ff. and 68). (shrink)

There has been a great deal of skepticism towards the value of the realism/anti-realism debate. More specifically, many have argued that plausible formulations of realism and anti-realism do not differ substantially in any way. In this paper, I argue against this trend by demonstrating how a hypothetical resolution of the debate, through deeper engagement with the historical record, has important implications for our criterion of theory pursuit and science policy. I do this by revisiting Arthur Fine’s ‘small handful’ argument for (...) realism and show how the debate centers on whether continuity should be an indicator for the future fruitfulness of a theory. I then demonstrate how these debates work in practice by considering the case of the Human Brain Project. I close by considering some potential practical considerations of formulating meta-inductions. By doing this, I contribute three insights to the current debate: 1) demonstrate how the realism/anti-realism debate is a substantive debate, 2) connect debates about realism/anti-realism to debates about theory choice and pursuit, and 3) show the practical significance of meta-inductions. (shrink)

This article develops and defends a new functional approach to scientific progress. I begin with a review of the problems of the traditional functional approach. Then I propose a new functional account of scientific progress, in which scientific progress is defined in terms of usefulness of problem defining and problem solving. I illustrate and defend my account by applying it to the history of genetics. Finally, I highlight the advantages of my new functional approach over the epistemic and semantic approaches (...) and dismiss some potential objections to my approach. (shrink)

Many realists argue that present scientific theories will not follow the fate of past scientific theories because the former are more successful than the latter. Critics object that realists need to show that present theories have reached the level of success that warrants their truth. I reply that the special theory of relativity has been repeatedly reinforced by unconceived scientific methods, so it will be reinforced by infinitely many unconceived scientific methods. This argument for the special theory of relativity overcomes (...) the critics’ objection, and has advantages over the no-miracle argument and the selective induction for it. (shrink)

The “Cosmological Constant Problem” is widely considered a crisis in contemporary theoretical physics. Unfortunately, the search for its resolution is hampered by open disagreement about what is, strictly, the problem. This disagreement stems from the observation that the CCP is not a problem within any of our current theories, and nearly all of the details of those future theories for which the CCP could be made a problem are up for grabs. Given this state of affairs, I discuss how one (...) ought to make sense of the role of the CCP in physics and generalize some lessons from it. (shrink)

The problem of fair machine learning has drawn much attention over the last few years and the bulk of offered solutions are, in principle, empirical. However, algorithmic fairness also raises important conceptual issues that would fail to be addressed if one relies entirely on empirical considerations. Herein, I will argue that the current debate has developed an empirical framework that has brought important contributions to the development of algorithmic decision-making, such as new techniques to discover and prevent discrimination, additional assessment (...) criteria, and analyses of the interaction between fairness and predictive accuracy. However, the same framework has also suggested higher-order issues regarding the translation of fairness into metrics and quantifiable trade-offs. Although the tools which have been developed so far are essential to address discrimination encoded in data and algorithms, their integration into society elicits key questions such as: What kind of assumptions and decisions underlies the empirical framework? How do the results of the empirical approach penetrate public debate? What kind of reflection and deliberation should stakeholders have over available fairness metrics? I will outline the empirical approach to fair machine learning, i.e. how the problem is framed and addressed, and suggest that there are important non-empirical issues that should be tackled. While this work will focus on the problem of algorithmic fairness, the lesson can extend to other conceptual problems in the analysis of algorithmic decision-making such as privacy and explainability. (shrink)

The one thing upon which we can all agree is that just over ten years ago a major revolution occurred in the science of geology. Geologists switched from accepting a static earth-picture, to endorsing a vision of an earth with its surface constantly in motion. (Cox [4]; Hallam [12]; Marvin [28]; Wilson [56]). It is true that early in this century the German geologist Alfred Wegener argued that the continents as we today find them have “drifted” to their positions from (...) other positions widely different. However, other than amongst a number of scientists drawn almost exclusively from the Southern Hemisphere, his ideas fell on deaf — or more precisely, contemptuous — ears. Then in the mid 1960’s, almost literally overnight, the geological community swung around and embraced the hypothesis of continental drift, or what we shall see is perhaps more accurately called “plate tectonics”. (shrink)

This review of recent work in the philosophy of science motivated by a commitment to 'naturalism' begins by identifying three key axioms and one theorem shared by philosophers thus self-styled. Owing much to Quine and Ernest Nagel, these philosophers of science share a common agenda with naturalists elsewhere in philosophy. But they have disagreed among themselves about how the axioms and the theorems they share settle long-standing disputes in the philosophy of science. After expounding these disagreements in the work of (...) Boyd, Giere, Laudan, and Kitcher, I argue that naturalism needs to look for more than mere consistency in its foundations. (shrink)

Recent work takes both philosophical and scientific progress to consist in acquiring factive epistemic states such as knowledge. However, much of this work leaves unclear what entity is the subject of these epistemic states. Furthermore, by focusing only on states like knowledge, we overlook progress in intermediate cases between ignorance and knowledge—for example, many now celebrated theories were initially so controversial that they were not known. -/- This paper develops an improved framework for thinking about intellectual progress. Firstly, I argue (...) that we should think of progress relative to the epistemic position of an intellectual community rather than individual inquirers. Secondly, I show how focusing on the extended process of inquiry (rather than the mere presence or absence of states like knowledge) provides a better evaluation of different types of progress. This includes progress through formulating worthwhile questions, acquiring new evidence, and increasing credence on the right answers to these questions. I close by considering the ramifications for philosophical progress, suggesting that my account supports rejecting the most negative views while allowing us to articulate different varieties of optimism and pessimism. (shrink)

Cognitive science has converged in many ways with cognitive psychology, but while also maintaining a distinctive interdisciplinary nature. Here we further characterize this existing state of the field before proposing how it might be reconceptualized toward a broader and more distinct, and thus more stable, position in the realm of sciences.

Logic, in one of the many sense of that term, is a theory about what follows from what and why. Arguably, the correct theory has to be determined by abduction. Over recent years, so called logical anti-exceptionalists have investigated this matter. Current discussions have been restricted to deductive logic. However, there are also, of course, various forms of non-deductive reasoning. Indeed, abduction itself is one of these. What is to be said about the way of choosing the best theory of (...) non-deductive inferences? It would seem clear that an anti-exceptionalist should hold that essentially the same method of choice should apply to non-deductive logic. A number of issues need to be faced in the process, not the least of which is the circularity involved in an abductive justification for a theory of abduction. This paper discusses matters. (shrink)

All biologists use classifications to one degree or another, and those of us who work on classifications use the results of all other biologists to one degree or another, so you might reasonably expect that biologists in general would share some common conception of how classifications should be constructed and how they can be used. Certainly one might expect that all taxonomists, at least, would share such a perspective. But this is not the case; in fact, the theory of taxonomy (...) is at present a very controversial subject, with much of the controversy revolving around the question of how to go about constructing an ideal classification.Surprisingly, there is relatively little controversy about what properties an ideal classification would have. Admittedly, different terms are used to describe these properties, various workers arguing that classifications should be maximally stable, or maximally useful, or maximally informative, or maximally testable, or maximally refutable, or maximally predictive, and so on. (shrink)