Through the use of such "folk" concepts as belief, desire, intention, and expectation, Daniel Dennett asserts in this first full scale presentation of...

The issue of knowing what it means for a group to have collective beliefs is being discussed more and more in contemporary philosophy of the social sciences and philosophy of mind. Margaret Gilbert’s reconsideration of Durkheim’s viewpoint in the framework of the plural subject’s account is one of the most famous. This has implications in the history and the sociology of science—as well asin the history and sociology of philosophy—although Gilbert only outlined them in the former fields and said nothing (...) about the latter. Symmetrically but independently, a historian of science, Mara Beller, has recently challenged Kuhn’s conception of the role of consensus in sciences in a brilliant analysis by carefully studying the history of Copenhagen School of Quantum Mechanics. Not only does she show the role of disagreement and controversies (doubting whether there was any collective belief characteristic in this group of physicists), but she even shakes up the very idea of individual beliefs. Each scientist (Heisenberg, Bohr, etc.) could be seen as divided into several selves. This paper contends that these two conceptions open important new horizons in several domains, especially if they are linked together. The paper assesses this claim in the light of empirical examples like the Vienna Circle, Copenhagen School, and, eventually, Cartesian philosophy. Key Words: plural subject • polyphony • collective briefs • Cartesian argumentation. (shrink)

Explanations in the life sciences frequently involve presenting a model of the mechanism taken to be responsible for a given phenomenon. Such explanations depart in numerous ways from nomological explanations commonly presented in philosophy of science. This paper focuses on three sorts of differences. First, scientists who develop mechanistic explanations are not limited to linguistic representations and logical inference; they frequently employ diagrams to characterize mechanisms and simulations to reason about them. Thus, the epistemic resources for presenting mechanistic explanations are (...) considerably richer than those suggested by a nomological framework. Second, the fact that mechanisms involve organized systems of component parts and operations provides direction to both the discovery and testing of mechanistic explanations. Finally, models of mechanisms are developed for specific exemplars and are not represented in terms of universally quantified statements. Generalization involves investigating both the similarity of new exemplars to those already studied and the variations between them. (shrink)

"This book is a sorely needed corrective. Animal Spirits is an important--maybe even a decisive--contribution at a difficult juncture in macroeconomic theory.

Unified, all-purpose, philosophical models of reduction in science lack resources for capturing varieties of cross-scientific relations that have proven critical to understanding some scientific achievements. Not only do those models obscure the distinction between successional and cross-scientific relations, their preoccupations with the structures of both theories and things provide no means for accommodating the contributions to various sciences of theories and research about long-term diachronic processes involving large-scale, distributed systems. Darwin's theory of evolution by natural selection is the parade case. (...) Explanatory pluralism accommodates a wider range of connections between theories and inquiries in science than all-purpose models of reduction do. Consequently, it provides analytical tools for understanding the roles of the theoretical proposals about the evolution of the human mind/brain that have proliferated over the last two decades. Those proposals have testable implications pertaining to both structure and processing in the modern human mind/brain. An example of such research illustrates how those proposals and investigative tools and experiments cut across both explanatory levels and modes of analysis within the cognitive sciences and how those studies can yield evidence that bears on the assessment of competing theories and models. (shrink)

I examine whether or not it is apt to attribute knowledge to groups of scientists. I argue that though research teams can be aptly described as having knowledge, communities of scientists identified with research fields, and the scientific community as a whole are not capable of knowing. Scientists involved in research teams are dependent on each other, and are organized in a manner to advance a goal. Such teams also adopt views that may not be identical to the views of (...) the individual members of the group. (shrink)

What is empiricism and what could it be? Bas C. van Fraassen, one of the world's foremost contributors to philosophical logic and the philosophy of science, here undertakes a fresh consideration of these questions and offers a program for renewal of the empiricist tradition. The empiricist tradition is not and could not be defined by common doctrines but embodies a certain stance in philosophy, van Fraassen says. This stance is displayed first of all in a searing recurrent critique of metaphysics, (...) and second in a focus on experience that requires a voluntarist view of belief and opinion. (shrink)

Contrary to common views that philosophy is extraneous to cognitive science, this paper argues that philosophy has a crucial role to play in cognitive science with respect to generality and normativity. General questions include the nature of theories and explanations, the role of computer simulation in cognitive theorizing, and the relations among the different fields of cognitive science. Normative questions include whether human thinking should be Bayesian, whether decision making should maximize expected utility, and how norms should be established. These (...) kinds of general and normative questions make philosophical reflection an important part of progress in cognitive science. Philosophy operates best, however, not with a priori reasoning or conceptual analysis, but rather with empirically informed reflection on a wide range of findings in cognitive science. (shrink)

This paper proposes a theory of how conscious emotional experience is produced by the brain as the result of many interacting brain areas coordinated in working memory. These brain areas integrate perceptions of bodily states of an organism with cognitive appraisals of its current situation. Emotions are neural processes that represent the overall cognitive and somatic state of the organism. Conscious experience arises when neural representations achieve high activation as part of working memory. This theory explains numerous phenomena concerning emotional (...) consciousness, including differentiation, integration, intensity, valence, and change. Ó 2007 Elsevier Inc. All rights reserved. (shrink)

One of the most impressive feats in robotics was the 2005 victory by a driverless Volkswagen Touareg in the DARPA Grand Challenge. This paper discusses what can be learned about the nature of representation from the car’s successful attempt to navigate the world. We review the hardware and software that it uses to interact with its environment, and describe how these techniques enable it to represent the world. We discuss robosemantics, the meaning of computational structures in robots. We argue that (...) the car constitutes a refutation of semantic arguments against the possibility of strong artificial intelligence. (shrink)

One of the most distinguished living social philosophers, Margaret Gilbert develops and extends her application of plural subject theory of human sociality, first introduced in her earlier works On Social Facts and Living Together. Sociality and Responsibility presents an extended discussion of her proposal that joint commitments inherently involve obligations and rights, proposing, in effect, a new theory of obligations and rights. In addition, it demonstrates the extensive range and fruitfulness of plural subject theory by presenting accounts of social rules, (...) scientific change, political obligation, collective remorse, collective guilt, shared intention and an important class of rights and obligations. (shrink)

Continuing his exploration of the organization of complexity and the science of design, this new edition of Herbert Simon's classic work on artificial ...

In this book, Newell makes the case for unified theories by setting forth a candidate.

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)

This first edition of this book was a broad study, drawing on a wide range of published research and historical evidence, of the enormous stock market boom that started around 1982 and picked up incredible speed after 1995. Although it took as its specific starting point this ongoing boom, it placed it in the context of stock market booms generally, and it also made concrete suggestions regarding policy changes that should be initiated in response to this and other such booms. (...) The book argued that the boom represents a speculative bubble, not grounded in sensible economic fundamentals. Part one of the book considered structural factors behind the boom. A list of twelve precipitating factors that appear to be its ultimate causes was given. Amplification mechanisms, naturally-occurring Ponzi processes, that enlarge the effects of these precipitating factors, were described. Part Two discussed cultural factors, the effects of the news media, and of "new era" economic thinking. Part Three discussed psychological factors, psychological anchors for the market and herd behavior. Part Four discussed attempts to rationalize exuberance: efficient markets theory and theories that investors are learning. Part Five presented policy options and actions that should be taken. The second edition, 2005, added an analysis of the real estate bubble as similar to the stock market bubble that preceded it, and warned that "Significant further rises in these markets could lead, eventually, to even more significant declines. The bad outcome could be that eventual declines would result in a substantial increase in the rate of personal bankruptcies, which could lead to a secondary string of bankruptcies of financial institutions as well. Another long-run consequence could be a decline in consumer and business confidence, and another, possibly worldwide, recession." Thus, the second edition of this book was among the first to warn of the global financial crisis that began with the subprime mortgage debacle in 2007. (shrink)

Martin Kusch puts forth two controversial ideas: that knowledge is a social status and that knowledge is primarily the possession of groups rather than individuals. He defends the radical implications of his views: that knowledge is political, and that it varies with communities. This bold approach to epistemology is a challenge to philosophy and the wider academic world.

"This is a wonderful book! In "How Scientists Explain Disease," Paul Thagard offers us a delightful essay combining science, its history, philosophy, and sociology.

Although Considered By A Few Critics That The Sentence Structures Of The Book Are Quite Incomprehensible And Almost Unbearable To Read, The Book Is An Essential ...

A description of mental mechanisms that explain how emotions influence thought, from everyday decision making to scientific discovery and religious belief, and an analysis of when emotion can contribute to good reasoning.

The book integrates decades of multidisciplinary research, but its clear explanations and humor make it accessible to the general reader.

Progress in the neurosciences is profoundly changing our conception of ourselves. Contrary to time-honored intuition, the mind turns out to be a complex of brain functions. And contrary to the wishful thinking of some philosophers, there is no stemming the revolutionary impact that brain research will have on our understanding of how the mind works. Brain-Wise is the sequel to Patricia Smith Churchland's Neurophilosophy, the book that launched a subfield. In a clear, conversational manner, this book examines old questions about (...) the nature of the mind within the new framework of the brain sciences. What, it asks, is the neurobiological basis of consciousness, the self, and free choice? How does the brain learn about the external world and about its own introspective world? What can neurophilosophy tell us about the basis and significance of religious and moral experiences? Drawing on results from research at the neuronal, neurochemical, system, and whole-brain levels, the book gives an up-to-date perspective on the state of neurophilosophy—what we know, what we do not know, and where things may go from here. (shrink)