By applying research in artificial intelligence to problems in the philosophy of science, Paul Thagard develops an exciting new approach to the study of scientific reasoning. This approach uses computational ideas to shed light on how scientific theories are discovered, evaluated, and used in explanations. Thagard describes a detailed computational model of problem solving and discovery that provides a conceptually rich yet rigorous alternative to accounts of scientific knowledge based on formal logic, and he uses it to illuminate such topics (...) as the nature of concepts, hypothesis formation, analogy, and theory justification. (shrink)

Social scientists regularly make use of multivariate models to describe complex social phenomena. It is argued that this approach is useful for modelling the variety of cognitive and social factors contributing to scientific change, and superior to the integrated models of scientific change currently available. It is also argued that care needs to be taken in drawing normative conclusions: cognitive factors are not instrinsically more "rational" than social factors, nor is it likely that social factors, by some "invisible hand of (...) reason," generally work to produce scientific success. A multivariate model of the biasing factors within a scientific community at particular times is developed. This model, which is an example of work in social epistemology, yields normative conclusions. (shrink)

Part of the work for this paper was done during the tenure of a fellowship at the Center for Advanced Study in the Behavioral Sciences. I am grateful for financial support provided by the National Science Foundation, Grant #BNS-8011494, and for the assistance of the staff of the Center. I also want to thank David Bloor, Stephen Downes, David Hull and Andy Pickering for offering good advice and criticism, some of which I have heeded.

explores the interaction between psychology and epistemology and addresses empirical questions about how we should arrive at our beliefs, and whether the processes by which we arrive at our beliefs are the ones by which we ought to arrive at our beliefs.

Scientific reasoning is—and ought to be—conducted in accordance with the axioms of probability. This Bayesian view—so called because of the central role it accords to a theorem first proved by Thomas Bayes in the late eighteenth ...

Professor Little presents an introduction to the philosophy of social science with an emphasis on the central forms of explanation in social science: rational-intentional, causal, functional, structural, materialist, statistical and interpretive. The book is very strong on recent developments, particularly in its treatment of rational choice theory, microfoundations for social explanation, the idea of supervenience, functionalism, and current discussions of relativism.Of special interest is Professor Little’s insight that, like the philosophy of natural science, the philosophy of social science can profit (...) from examining actual scientific examples. Throughout the book, philosophical theory is integrated with recent empirical work on both agrarian and industrial society drawn from political science, sociology, geography, anthropology, and economics.Clearly written and well structured, this text provides the logical and conceptual tools necessary for dealing with the debates at the cutting edge of contemporary philosophy of social science. It will prove indispensible for philosophers, social scientists and their students. (shrink)

The first edition of this book profoundly challenged and divided students of philosophy, sociology, and the history of science when it was published in 1976. In this second edition, Bloor responds in a substantial new Afterword to the heated debates engendered by his book.

Against the traditional view, Alvin Goldman argues that logic, probability theory, and linguistic analysis cannot by themselves delineate principles of rationality or justified belief. The mind's operations must be taken into account.

This article reviews the transition between post-Fregean anti-naturalistic epistemology and contemporary naturalistic epistemologies. It traces the revival of naturalism to Quine’s critique of the "a priori", and Kuhn’s defense of historicism, and use the arguments of Quine and Kuhn to identify a position, "traditional naturalism", that combines naturalistic themes with the claim that epistemology is a normative enterprise. Pleas for more radical versions of naturalism are articulated, and briefly confronted.

I propose an approach to naturalized philosophy of science that takes the social nature of scientific practice seriously. I criticize several prominent naturalistic approaches for adopting "cognitive individualism", which limits the study of science to an examination of the internal psychological mechanisms of scientists. I argue that this limits the explanatory capacity of these approaches. I then propose a three-level model of the social nature of scientific practice, and use the model to defend the claim that scientific knowledge is socially (...) produced. (shrink)

The thirty-five chapters in this book describe various judgmental heuristics and the biases they produce, not only in laboratory experiments but in important...

This article blends psychological and social factors in the explanation of science, and defends the compatibility of a psychosocial picture with an epistemic picture. It examines three variants of the 'political' approach to interpersonal persuasion advocated by Latour and others. In each case an 'epistemic' or mixed account is more promising and empirically better supported. Psychological research on motivated reasoning shows the epistemic limits of interest-driven belief. Against social constructivism, the paper defends the viability of a truth-based standard, and reports (...) how truth-possession can be promoted even when scientific work is motivated by political/professional considerations. (shrink)

In this book Bruno Latour brings together these different approaches to provide a lively and challenging analysis of science, demonstrating how social context..

Goldman joins the ranks of epistemologists, philosophers, and science studies scholars trying to use economic models of science. For Goldman, these models are part of social rather than individual epistemics. His hope is that these models will illustrate that non-epistemic goals of individual scientists such as professional success do not necessarily undermine epistemic aims of science such as the acquisition of truth. This paper shows that there are inconsistencies between Goldman's individual and social epistemics, that these models do not live (...) up to Goldman's standards of evaluation, and that the economic models that Goldman uses are not social. (shrink)

During the last three decades, reflections on the growth of scientific knowledge have inspired historians, sociologists, and some philosophers to contend that scientific objectivity is a myth. In this book, Kitcher attempts to resurrect the notions of objectivity and progress in science by identifying both the limitations of idealized treatments of growth of knowledge and the overreactions to philosophical idealizations. Recognizing that science is done not by logically omniscient subjects working in isolation, but by people with a variety of personal (...) and social interests, who cooperate and compete with one another, he argues that, nonetheless, we may conceive the growth of science as a process in which both our vision of nature and our ways of learning more about nature improve. Offering a detailed picture of the advancement of science, he sets a new agenda for the philosophy of science and for other "science studies" disciplines. (shrink)

The most important and exciting recent development in the philosophy of science is its merging with the sociology of scientific knowledge. Here is the first text book to make this development available.

Summarizing this century's major debates over realism and the rationality of scientific knowledge, Joseph Rouse believes that these disputes oversimplify the ...

The work of Tversky, Kahneman and others suggests that people often make use of cognitive heuristics such as availability, salience and representativeness in their reasoning and decision making. Through use of a historical example--the recent plate tectonics revolution in geology--I argue that such heuristics play a crucial role in scientific decision making also. I suggest how these heuristics are to be considered, along with noncognitive factors (such as motivation and social structures) when drawing historical and epistemological conclusions. The normative perspective (...) is community-wide, contextual, and instrumental. (shrink)

These essays by a major epistemologist reconfigure philosophical projects across a wide spectrum, from mind to metaphysics, from epistemology to social power. Several of Goldman's classic essays are included along with many newer writings. Together these trace and continue the development of the author's unique blend of naturalism and reliabilism. Part I defends the simulation approach to mentalistic ascription and explores the psychological mechanisms of ontological individuation. Part II shows why epistemology needs help from cognitive science - not only to (...) evaluate cognitive agents but also to illuminate the practices of epistemic evaluators. Parts III and IV explain how philosophical projects can be reshaped through interchange with social science. An epistemological study of scientific activity exploits the economic paradigm, and philosophical tools are applied to analyze power in society. (shrink)

(1996). The economic consequences of Bruno Latour. Social Epistemology: Vol. 10, Economic Metaphors in Science Studies, pp. 193-208. doi: 10.1080/02691729608578814.