Two books have been particularly influential in contemporary philosophy of science: Karl R. Popper's Logic of Scientific Discovery, and Thomas S. Kuhn's Structure of Scientific Revolutions. Both agree upon the importance of revolutions in science, but differ about the role of criticism in science's revolutionary growth. This volume arose out of a symposium on Kuhn's work, with Popper in the chair, at an international colloquium held in London in 1965. The book begins with Kuhn's statement of his position followed by (...) seven essays offering criticism and analysis, and finally by Kuhn's reply. The book will interest senior undergraduates and graduate students of the philosophy and history of science, as well as professional philosophers, philosophically inclined scientists, and some psychologists and sociologists. (shrink)

Donald Campbell has long advocated a naturalist epistemology based on a general selection theory, with the scope of knowledge restricted to vicarious adaptive processes. But being a vicariant is problematic because it involves an unexplained epistemic relation. We argue that this relation is to be explicated organizationally in terms of the regulation of behavior and internal state by the vicariant, but that Campbell's selectionist approach can give no satisfactory account of it because it is opaque to organization. We show how (...) organizational constraints and capacities are crucial to understanding both evolution and cognition and conclude with a proposal for an enriched, generalized model of evolutionary epistemology that places high-order regulatory organization at the center. (shrink)

This book looks back at the simpler versions of mental life in apes, Neanderthals, and our ancestors, back before our burst of creativity started 50,000 years...

This book presents a clear and critical view of the orthodox logical empiricist tradition, pointing the way to significant developments for the understanding of science both as research and as culture.

Also published in Representation in mind : new approaches to mental representation / Hugh Clapin, Phillil Staines, Peter Slezak (eds.) : ISBN 008044394X.

This article focuses on the problem of representational content. Accounting for representational content is the central issue in contemporary naturalism: it is the major remaining task facing a naturalistic conception of the world. Representational content is also the central barrier to contemporary cognitive science and artificial intelligence: it is not possible to understand representation in animals nor to construct machines with genuine representation given current (lack of) understanding of what representation is. An elaborated critique is offered to current approaches to (...) representation, arguing that the basic underlying approach is, at root, logically incoherent, and, thus, that standard approaches are doomed to failure. An alternative model of representation - interactivism - is presented that avoids or solves the problems facing standard approaches. Interactivism is framed by a version of functionalism, and a naturalization of that functionalism completes an outline of a naturalization of representation and representational content. (shrink)

Robert Nola has argued that anti-rationalist interpretations of science fail to adequately explain the process of science, since objective reasons can be causal factors in belief formation. While I agree with Nola that objective reasons can be a cause of belief, in this paper I present a version of the strong programme in the sociology of knowledge, the Interests Thesis, and argue that the Interests Thesis provides a plausible explanation of an episode in the history of ape-language research. Specifically, I (...) examine Terrace, Petitto, Sandess, & Bever illegitimate comparison of the signing of their chimpanzee, Nim, with data from human early childhood language development, and argue that Terrace et al.’s interests played a causal role in determining their sceptical beliefs concerning ape linguistic abilities. However, I go on to argue that Terrace et al.’s interests are not the only causal factors in determining their beliefs: objective reasons, associated with the institution of new methodologies, were also causally determinative of Terrace et al.’s sceptical beliefs. Consequently, I argue that belief formation in science is a multi-factorial affair wherein both interests and objective reasons have causal roles. I finish the paper with two conjectures concerning the proper locus of scientific rationality. (shrink)

As the cognitive revolution was slow to come to the study of animal behavior, the vast majority of what we know about primate cognition has been discovered in the last 30 years. Building on the recognition that the physical and social worlds of humans and their living primate relatives pose many of the same evolutionary challenges, programs of research have established that the most basic cognitive skills and mental representations that humans use to navigate those worlds are already possessed by (...) other primates. There may be differences between humans and other primates, however, in more complex cognitive skills, such as reasoning about relations, causality, time, and other minds. Of special importance, the human primate seems to possess a species-unique set of adaptations for “cultural intelligence,” which are broad reaching in their effects on human cognition. (shrink)

The Economics of Scientific Knowledge demonstrates how contemporary economic theories, such as rational choice theory, public choice theory, game theory, and neo-institutionalist economics can be successfully applied to resolve the issues currently existing in science studies and science and technology policy. Yanfei Shi criticizes the sociology of scientific knowledge and the traditional philosophy of science for their failures in justifying science as a rational enterprise. From an economic perspective, he explains why scientific enterprise as a public good is possible if (...) individual scientists are self-interested and presents a new and convincing story of how scientific knowledge is produced in the contemporary society. With professional experience as a policy analyst, Yanfei Shi's economic perspective on scientists and their behaviors, and his institutional analysis will have great implications to the current discussions on science and innovation policy issues. Scholars and students in the fields of economics, philosophy and sociology as well as scientists, administrators and policy analysts will find this book a welcome addition to the literature of the increasingly important field of science studies. (shrink)

This paper outlines an original interactivist-constructivist approach to modelling intelligence and learning as a dynamical embodied form of adaptiveness and explores some applications of I-C to understanding the way cognitive learning is realized in the brain. Two key ideas for conceptualizing intelligence within this framework are developed. These are: intelligence is centrally concerned with the capacity for coherent, context-sensitive, self-directed management of interaction; and the primary model for cognitive learning is anticipative skill construction. Self-directedness is a capacity for integrative process (...) modulation which allows a system to "steer" itself through its world by anticipatively matching its own viability requirements to interaction with its environment. Because the adaptive interaction processes required of intelligent systems are too complex for effective action to be prespecified learning is an important component of intelligence. A model of self-directed anticipative learning is formulated based on interactive skill construction, and argued to constitute a central constructivist process involved in cognitive development. SDAL illuminates the capacity of intelligent learners to start with the vague, poorly defined problems typically posed in realistic learning situations and progressively refine them, transforming them into problems with sufficient structure to guide the construction of a solution. Finally, some of the implications of I-C for modelling of the neuronal basis of intelligence and learning are explored; in particular, Quartz and Sejnowski's recent neural constructivism paradigm, enriched by Montague and Sejnowski's dopaminergic model of anticipative-predictive neural learning, is assessed as a promising, but incomplete, contribution to this approach. The paper concludes with a fourfold reflection on the divergence in cognitive modelling philosophy between the I-C and the traditional computational information processing approaches. (shrink)