This article highlights a use of analogies in science that so far has received relatively little systematic discussion: providing reasons for pursuing a model or theory. Using the development of the liquid drop model as a test case, I critically assess two extant pursuit worthiness accounts: that analogies justify pursuit by supporting plausibility arguments and that analogies can serve as a guide to potential theoretical unification. Neither of these fit the liquid drop model case. Instead, I develop an alternative account, (...) based on the idea that analogies facilitate the transfer of a well-understood modelling strategy to a new domain. 1Introduction2Case Study: The Development of the Liquid Drop Model3Plausibility Accounts 3.1Bartha on plausibility and analogical inference3.2Plausibility and the drop analogy4Analogies as a Guide to Unification5Generative Accounts 5.1Analogy-based modelling strategies5.2Did analogies play a merely generative role?6A New Pursuit Worthiness Account of Analogies 6.1Transferring understanding-with through analogies6.2Understanding-with and the liquid drop model7Conclusion. (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)

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)

Contemporary philosophy of science has seen a growing trend towards a focus on scientific practice over the epistemic outputs that such practices produce. This practice-oriented approach has yielded a clearer understanding of how reductive research strategies play a central role in contemporary scientific inquiry. In parallel, a growing body of work has sought to explore the role of non-reductive, or systems-level, research strategies. As a result, the relationship between reductive and non-reductive scientific practices is becoming of increased importance. In this (...) paper, I provide a framework within which research strategies can be compared. I argue that no strategy is reductive or non-reductive simpliciter, rather strategies are more, or are less, reductive than one another according to a frame of reference. That frame of reference is provided by a continuum of possible ways in which the target system might be conceptualised. I illustrate the utility of the framework by deploying it to analyse a recent debate in cancer research. When set within the framework, a prominent reductive strategy—the somatic mutation theory—and a prominent non-reductive strategy—the tissue organisational field theory—do not stand opposed to one another. Rather, they serve as boundary markers to chart the territory of approaches to carcinogenesis within which most strategies in the field fall. (shrink)

This essay criticizes the current approach to epistemic democracy. Epistemic democrats are preoccupied with the question of how a society can best exploit a given stock of knowledge. This article argues that the problem-solving capability of a society depends on two factors rather than one. The quality of decision-making depends both on how a democracy is able to make use of its stock of knowledge and on the size of the knowledge stock. Society’s problem-solving capability over time is therefore a (...) function of its ability to develop its knowledge exploitation mechanisms and the growth rate of its knowledge stock. Based on this enhanced model of social problem-solving, this essay compares two different political ideal types: experimental democracy, as commonly defended by epistemic democrats; and polycentric democracy, a model defended most commonly by political economists. (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)

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)

This essay, written on the occasion of the 10th anniversary of Mariano Artigas’s death, examines Artigas’s engagement with analytic philosophy in his philosophy of science. I argue that, overall, Artigas’s project in the philosophy of science is one of—using his own metaphor—‘building bridges’ between distinct areas of knowledge. After reviewing the function of Artigas’s philosophy of science as a bridge between science and philosophy, I analyse how he moved from classical to analytic philosophy. I then assess the extent to which (...) Artigas’s work conforms to reasonable analytic standards of clarity and precision, which can be expected from work in the philosophy of science. I conclude that, while Artigas’s dedication and production were admirable, his work remains essentially unfinished, thus inviting further research that should develop and clarify his conception of science, of its aims, its methods, progress, and of how science leads to knowledge. I attempt to assess Artigas’s philosophy of science from an objective and detached perspective. Thus the essay should be of interest to both scholars in the philosophy of science, as well as to those generally interested in Artigas-scholarship. (shrink)

Cognitive and social sciences such as psychology and sociology are often described as immature sciences. But what is immaturity? According to the received view, immaturity is disunity, where disunity can usefully be cashed out in terms of having a plurality of disunified frameworks in play, where these frameworks consist of concepts, theories, goals, practices, methods, criteria for what counts as a good explanation, etc. However, there are some reasons to think that the cognitive and social sciences should be disunified in (...) this sense. If that is right, either these sciences should remain immature, or we need a new account of immaturity. The former option is unappealing. I therefore provide an alternative account of immaturity, based on Dudley Shapere’s work on the internal/external distinction. I then go on to use this account to argue against the imposition of unification on the cognitive and social sciences. Acceptance of disunity may be the route to maturity, rather than a sign of immaturity. (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)

This paper defends an account of explanatory reasoning generally, and inference to the best explanation in particular, according to which it first and foremost justifies pursuing hypotheses rather than accepting them as true. This side-steps the problem of why better explanations should be more likely to be true. I argue that this account faces no analogous problems. I propose an account of justification for pursuit and show how this provides a simple and straightforward connection between explanatoriness and justification for pursuit.

This paper analyses the cognitive image schemas structuring the ontological commitments of dominant conceptions of ethics and economics to show that the content of economics is implicated in conceptions of ethics, and that these conceptions cannot be separated from questions of research and professional ethics. This analysis of the metaphoric structuring of the ontological commitments of ethics and economics is based on an extension of Kuhn's construct sense of 'paradigm' as concrete analogy; and on techniques of metaphoric analysis developed in (...) cognitive linguistics. Analysis of the iconic and schematic representations of the concrete analogies and idealised cognitive models structuring economic and ethical theories expose both shared and conflicting ontological commitments. Read the Open Peer Discussion on this paper ». (shrink)

This article sketches the main features of traditional philosophical models of evidence, indicating idealizations in such models that it regards as doing more harm than good. It then proceeds to elaborate on an alternative model of evidence that is functionalist, complex, dynamic, and contextual, a view the author calls dynamic evidential functionalism (DEF). This alternative builds on insights from philosophy of scientific practice, Kuhnian philosophy of science, pragmatist epistemology, philosophy of experimentation, and functionalist philosophy of mind. Along the way, the (...) article raises concerns about the total evidence condition, requirements of certainty or incorrigibility on evidence, and accounts that restrict the type of things that can serve as evidence (to, for example, sense data, facts about particulars). DEF can also help us see the special value of novel predictions and experiments as evidence, as well as help us think about how to critically evaluate the putative evidence to determine whether it is evidence. (shrink)

In my dissertation I define historical disciplines as disciplines that aim to give a historical interpretation of the evidence. Phylogenetic systematics is a historical discipline and therefore in my definition phylogenies should be thought of as historical interpretations of relationships between taxa.

The main aims of this paper are to establish the position of evolutionary ontology within the Czech environmental debate, to identify why its untapped potential may be an inspiration in other social science disciplines and, finally, to suggest that evolutionary ontology be reconfigured in a particular way so that it can capitalize on its potential. A brief introduction outlines the context and the main ideas of evolutionary ontology and is followed by a discussion of its weaknesses: an emphasis on a (...) confrontational style in addressing other social science disciplines and ignoring the specific nature of the disciplines which represent the main target group of this theory. Consequently, I suggested three main changes as to how evolutionary ontology should be presented. (shrink)

This study aims to understand scientific inference for the evolutionary procedure of Continental Drift based on abductive inference, which is important for creative inference and scientific discovery during problem solving. We present the following two research problems: (1) we suggest a scientific inference procedure as well as various strategies and a criterion for choosing hypotheses over other competing or previous hypotheses; aspects of this procedure include puzzling observation, abduction, retroduction, updating, deduction, induction, and recycle; and (2) we analyze the “theory (...) of continental drift” discovery, called the Earth science revolution, using our multistage inference procedure. Wegener’s Continental Drift hypothesis had an impact comparable to the revolution caused by Darwin’s theory of evolution in biology. Finally, the suggested inquiry inference model can provide us with a more consistent view of science and promote a deeper understanding of scientific concepts. (shrink)

There have been few attempts, so far, to document the history of artificial intelligence. It is argued that the “historical sociology of scientific knowledge” can provide a broad historiographical approach for the history of AI, particularly as it has proved fruitful within the history of science in recent years. The article shows how the sociology of knowledge can inform and enrich four types of project within the history of AI; organizational history; AI viewed as technology; AI viewed as cognitive science (...) and historical biography. In the latter area the historical treatments of Darwin and Turing are compared to warn against the pitfalls of “rational reconstructions” of the past. (shrink)

I argue that, in analysing the structure and development of moral traditions, MacIntyre relies primarily on Kuhn's model of scientific tradition, rather than on Lakatos' model. I unpack three foci of Kuhn's conception of the sciences, namely: the ‘crisis’ conception of scientific development, what I call the ‘systematic conception’ of scientific paradigms, and the view that successive paradigms are incommensurable. I then show that these three foci are integrated into MacIntyre's account of the development of moral traditions with a surprising (...) degree of faithfulness to Kuhn. And crucially, I argue against the overall cogency of his account, given the disparities I pinpoint between scientific and moral traditions. My overall critique is, however, fundamentally friendly, since nothing I have to say invalidates the very notion of a moral tradition, and all I am calling for are less problematic construals of that notion. (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)

A historical example is considered which conflicts with Laudan's Problem Solving Model [1981]. In the period 1840–85 chemists preferred a theory with 3 major conceptual problems (the Liebig Theory of Acids) to Lavoisier's which had only one major conceptual problem (why are the halogen hydrides acids?). The overall conceptual merits of Lavoisier's scheme have been revived in the modern Lux-Flood classification of Acids. Larry Laudan [1977], [1981] proposed a problem solving model of scientific rationality which not only applied to global (...) theories but, if one takes the final paragraph of his [1977] seriously, also applies to sub theories, auxiliary hypotheses and sub auxiliary hypotheses all the way down the line. (shrink)

Part I Introduction The specific problem adressed in this thesis is: what is the rational use of theory and experiment in the process of scientific discovery, in theory and in the practice of drug research for Parkinson’s disease? The thesis aims to answer the following specific questions: what is: 1) the structure of a theory?; 2) the process of scientific reasoning?; 3) the route between theory and experiment? In the first part I further discuss issues about rationality in science as (...) introduction to part II, and I present an overview of my case-study of neuropharmacology, for which I interviewed researchers from the Groningen Pharmacy Department, as an introduction to part III. Part II Discovery In this part I discuss three theoretical models of scientific discovery according to studies in the fields of Logic, Cognition, and Computation. In those fields the structure of a theory is respectively explicated as: a set of sentences; a set of associated memory chunks; and as a computer program that can generate the observed data. Rationality in discovery is characterized by: finding axioms that imply observation sentences; heuristic search for a hypothesis, as part of problem solving, by applying memory chunks and production rules that represent skill; and finding the shortest program that generates the data, respectively. I further argue that reasoning in discovery includes logical fallacies, which are neccesary to introduce new hypotheses. I also argue that, while human subjects often make errors in hypothesis evaluation tasks from a logical perspective, these evaluations are rational given a probabilistic interpretation. Part III Neuropharmacology In this last part I discusses my case-study and a model of discovery in a practice of drug research for Parkinson’s disease. I discuss the dopamine theory of Parkinson’s disease and model its structure as a qualitative differential equation. Then I discuss the use and reasons for particular experiments to both test a drug and explore the function of the brain. I describe different kinds of problems in drug research leading to a discovery. Based on that description I distinguish three kinds of reasoning tasks in discovery, inference to: the best explanation, the best prediction and the best intervention. I further demonstrate how a part of reasoning in neuropharmacology can be computationally modeled as qualitative reasoning, and aided by a computer supported discovery system. (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)

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)