Includes established theories and cutting-edge developments. Presents the work of an international group of experts. Presents the nature, origin, implications, and future course of major unresolved issues in the area.
Understanding consciousness is a truly multidisciplinary project, attracting intense interest from researchers and theorists from diverse backgrounds. Thus, we now have computational scientists, neuroscientists, and philosophers all engaged in the same effort. This book draws together the work of leading researchers around the world, providing insights from these three general perspectives. The work is highlighted by a rare look at work being conducted by Japanese researchers.
`This is an exceptionally good textbook. It covers an unusually wide range of issues in an up-to-date and balanced fashion, and is clearly written. It would be invaluable for all students, both undergraduates and postgraduates, who take a genuine interest in the nature of psychology and the theoretical issues it faces' - Professor Graham Richards, Director, British Psychological Society History of Psychology Centre Psychology is understood by many as the `science of the mind', but what is `mind' and what have (...) modern psychology and philosophy to say about its nature? What is `science' and what is a scientific approach to mind? This thoroughly revised edition o the classic textbook explores a wide range of problems in psychology, philosophy, cognitive and brains sciences identifying the major topics, debates and controversies and presenting them in a balanced and accessible manner for students. Key features of this Second Edition include: } A new, ten chapter structure making it ideal for a lecture course; } Contains new content on advances in cognitive psychology and neuroscience, including neural networks, dynamics systems and situated cognition; } Final chapter focuses on `hot issues' at the interface of psychology and philosophy - making attempts to look forward. } Pedagogical features including chapter summaries and further readings. Brought fully up-to-date with advances in computational, cognitive and neuroscience work on the one hand, and links with philosophy on the other, this book is essential reading for all students needing an understanding of these issues. (shrink)
In this book, Edward Stein offers a clear critical account of the debate about rationality in philosophy and cognitive science. He discusses concepts of rationality--the pictures of rationality on which the debate centers--and assesses the empirical evidence used to argue that humans are irrational. He concludes that the question of human rationality must be answered not conceptually but empirically, using the full resources of an advanced cognitive science. Furthermore, he extends this conclusion to argue that empirical considerations are also relevant (...) to the theory of knowledge--in other words, that epistemology should be naturalized. (shrink)
Brain Mystique Light and Dark bridges the gap between neuroscience, brain evolution and consciousness by examining scientific models of how the brain becomes conscious. The book argues that the spiritual dimension of life is compatible with scientific naturalism. Not bound by conventional stereotypes, Charles Don Keyes safeguards the unity of brain/mind, synthesized from a wide range of sources, reinterprets the triune brain concept and self-reference models of consciousness.
The ability to reason ethically is an extraordinarily important aspect of professionalism in any field. Indeed, the greatest challenge in ethical professional practice involves resolving the conflict that arises when the professional is required to choose between two competing ethical principles. Ethical Reasoning in the Mental Health Professions explores how to develop the ability to reason ethically in difficult situations. Other books merely present ethical and legal issues one at a time, along with case examples involving "right" and "wrong" answers. (...) In dramatic contrast, Ethical Reasoning in the Mental Health Professions provides you with the needed background in methods of ethical reasoning and introduces an innovative nine-step model of ethical decision-making for resolving ethical dilemmas. Ethical Reasoning in the Mental Health Profession discusses the ethical codes of both psychology and counseling. This interdisciplinary approach promotes a better understanding of the similarities and differences in the points of emphasis in the two codes, which, in turn, enriches your understanding of the range of ethical considerations relevant to the practice of the mental health professions. (shrink)
What is the mind? How does it work? How does it influence behavior? Some psychologists hope to answer such questions in terms of concepts drawn from computer science and artificial intelligence. They test their theories by modeling mental processes in computers. This book shows how computer models are used to study many psychological phenomena--including vision, language, reasoning, and learning. It also shows that computer modeling involves differing theoretical approaches. Computational psychologists disagree about some basic questions. For instance, should the mind (...) be modeled by digital computers, or by parallel-processing systems more like brains? Do computer programs consist of meaningless patterns, or do they embody (and explain) genuine meaning? (shrink)
The emotions have been one of the most fertile areas of study in psychology, neuroscience, and other cognitive disciplines. Yet as influential as the work in those fields is, it has not yet made its way to the desks of philosophers who study the nature of mind. Passionate Engines unites the two for the first time, providing both a survey of what emotions can tell us about the mind, and an argument for how work in the cognitive disciplines can help (...) us develop new ways of understanding the mind as a whole. Craig DeLancey shows that our best philosophical and scientific understanding of the emotions provides essential insights on key issues in the philosophy of mind and artificial intelligence: intentionality, aesthetics, rationality, action theory, moral psychology, consciousness, ontology and autonomy. He provides an accessible overview of the science of emotion, explaining with minimal jargon the technical issues that arise. The book also offers new ways to understand the mind, suggesting that it is autonomy--and not cognition--that should be the core problem of the philosophy of mind, cognitive science, and artificial intelligence. DeLancey argues that the philosophy of mind has been held back by an impoverished view of naturalism, and that a proper appreciation of the complexity of the sciences of mind, readily demonstrated by the science of emotion, will overcome this. Passionate Engines provides a unique, contemporary view of the link between science and philosophy, offering a bold new way of looking at the mind for scholars in a range of disciplines. Its accessible and refreshing approach will appeal to philosophers, psychologists, computer scientists, others in the cognitive disciplines, and lay people interested in the mind. (shrink)
This collection by a distinguished group of philosophers, psychologists, and physiologists reflects an interdisciplinary approach to the central question of cognitive science: how do we model the mind? Among the topics explored are the relationships (theoretical, reductive, and explanatory) between philosophy, psychology, computer science, and physiology; what should be asked of models in science generally, and in cognitive science in particular; whether theoretical models must make essential reference to objects in the environment; whether there are human competences that are resistant, (...) in principle, to modelling; whether simulated thinking and intentionality are really thinking and intentionality; how semantics can be generated from syntactics; the meaning of the terms "representations" and "modelling;" whether the nature of the "hardware" matters; and whether computer models of humans are "dehumanizing." Contributors include Donald Davidson, Daniel C. Dennett, Margaret A. Boden, Adam Morton, Dennis Noble, T. Poggio, Colin Blakemore, K.V. Wilkes, P.N. Johnson-Laird, and Jonathan St. B.T. Evans. (shrink)
This is the story of the clattering of elevated subways and the cacophony of crowded neighborhoods, the heady optimism of industrial progress and the despair of economic recession, and the vibrancy of ethnic cultures and the resilience of ...
This book attempts to marry truth-conditional semantics with cognitive linguistics in the church of computational neuroscience. To this end, it examines the truth-conditional meanings of coordinators, quantifiers, and collective predicates as neurophysiological phenomena that are amenable to a neurocomputational analysis. Drawing inspiration from work on visual processing, and especially the simple/complex cell distinction in early vision (V1), we claim that a similar two-layer architecture is sufficient to learn the truth-conditional meanings of the logical coordinators and logical quantifiers. As a prerequisite, (...) much discussion is given over to what a neurologically plausible representation of the meanings of these items would look like. We eventually settle on a representation in terms of correlation, so that, for instance, the semantic input to the universal operators (e.g. and, all)is represented as maximally correlated, while the semantic input to the universal negative operators (e.g. nor, no)is represented as maximally anticorrelated. On the basis this representation, the hypothesis can be offered that the function of the logical operators is to extract an invariant feature from natural situations, that of degree of correlation between parts of the situation. This result sets up an elegant formal analogy to recent models of visual processing, which argue that the function of early vision is to reduce the redundancy inherent in natural images. Computational simulations are designed in which the logical operators are learned by associating their phonological form with some degree of correlation in the inputs, so that the overall function of the system is as a simple kind of pattern recognition. Several learning rules are assayed, especially those of the Hebbian sort, which are the ones with the most neurological support. Learning vector quantization (LVQ) is shown to be a perspicuous and efficient means of learning the patterns that are of interest. We draw a formal parallelism between the initial, competitive layer of LVQ and the simple cell layer in V1, and between the final, linear layer of LVQ and the complex cell layer in V1, in that the initial layers are both selective, while the final layers both generalize. It is also shown how the representations argued for can be used to draw the traditionally-recognized inferences arising from coordination and quantification, and why the inference of subalternacy breaks down for collective predicates. Finally, the analogies between early vision and the logical operators allow us to advance the claim of cognitive linguistics that language is not processed by proprietary algorithms, but rather by algorithms that are general to the entire brain. Thus in the debate between objectivist and experiential metaphysics, this book falls squarely into the camp of the latter. Yet it does so by means of a rigorous formal, mathematical, and neurological exposition – in contradiction of the experiential claim that formal analysis has no place in the understanding of cognition. To make our own counter-claim as explicit as possible, we present a sketch of the LVQ structure in terms of mereotopology, in which the initial layer of the network performs topological operations, while the final layer performs mereological operations. The book is meant to be self-contained, in the sense that it does not assume any prior knowledge of any of the many areas that are touched upon. It therefore contains mini-summaries of biological visual processing, especially the retinocortical and ventral /what?/ parvocellular pathways computational models of neural signaling, and in particular the reduction of the Hodgkin-Huxley equations to the connectionist and integrate-and-fire neurons Hebbian learning rules and the elaboration of learning vector quantization the linguistic pathway in the left hemisphere memory and the hippocampus truth-conditional vs. image-schematic semantics objectivist vs. experiential metaphysics and mereotopology. All of the simulations are implemented in MATLAB, and the code is available from the book’s website. • The discovery of several algorithmic similarities between visison and semantics. • The support of all of this by means of simulations, and the packaging of all of this in a coherent theoretical framework. (shrink)
Although much attention has been given to Jacques Lacan in his rereading of Freud and to French women analysts in their deconstruction of traditional psychoanalysis, little has been available in the US on contemporary male French analysts and their treatment of women. She Speaks/He Listens illustrates the range of thought among some well-known French male psychoanalysts today--from Lacanians to anti-Lacanians to eclectics--with regard to women and sexual difference. Through the interview format, with its possibilities for surprise and spontaneity, the book (...) makes available the thought of Alain Didier-Weill, Bela Grunberger, Patrick Guyomard, Serge Lebovici, Rene Major, Gerard Pommier and Francois Roustang, as well as the internationally famed analyst Otto Kernberg, who gives a fascinating account of the French influences on his work. Other themes addressed include the place of Freud and Lacan in current theory and the relation of feminism to contemporary French male psychoanalysts. (shrink)
This collection of articles pays homage to the creativity and scientific rigor Jerome Singer has brought to the study of consciousness and play. It will interest personality, social, clinical and developmental psychologists alike.