The Future of the Cognitive Revolution
Oxford University Press (1997)
| Abstract | The basic idea of the particular way of understanding mental phenomena that has inspired the "cognitive revolution" is that, as a result of certain relatively recent intellectual and technological innovations, informed theorists now possess a more powerfully insightful comparison or model for mind than was available to any thinkers in the past. The model in question is that of software, or the list of rules for input, output, and internal transformations by which we determine and control the workings of a computing machine's hardware. Although this comparison and its many implications have dominated work in the philosophy, psychology, and neurobiology of mind since the end of the Second World War, it now shows increasing signs of losing its once virtually unquestioned preeminence. Thus we now face the question of whether it is possible to repair and save this model by means of relatively inessential "tinkering", or whether we must reconceive it fundamentally and replace it with something different. In this book, twenty-eight leading scholars from diverse fields of "cognitive science"-linguistics, psychology, neurophysiology, and philosophy- present their latest, carefully considered judgements about what they think will be the future course of this intellectual movement, that in many respects has been a watershed in our contemporary struggles to comprehend that which is crucially significant about human beings. Jerome Bruner, Noam Chomsky, Margaret Boden, Ulric Neisser, Rom Harre, Merlin Donald, among others, have all written chapters in a non-technical style that can be enjoyed and understood by an inter-disciplinary audience of psychologists, philosophers, anthropologists, linguists, and cognitive scientists alike. | |||||||||
| Keywords | Cognition Cognitive science Philosophy and cognitive science Human information processing Artificial intelligence | |||||||||
| Categories | No categories specified (fix it) | |||||||||
| Buy the book | $65.73 new (7% off) $70.00 direct from Amazon Amazon page | |||||||||
| Call number | BF311.F89 1997 | |||||||||
| ISBN(s) | 0195103335 | |||||||||
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Yingxu Wang (2003). On Cognitive Informatics. Brain and Mind 4 (2):151-167.
Anthony Chemero (2003). Information for Perception and Information Processing. Minds and Machines 13 (4):577-588.
Paul Thagard (1982). Artificial Intelligence, Psychology, and the Philosophy of Discovery. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1982:166 - 175.
Aaron Sloman (1978). The Computer Revolution in Philosophy: Philosophy Science and Models of Mind. Harvester.
Lawrence W. Barsalou (2010). Grounded Cognition: Past, Present, and Future. Topics in Cognitive Science 2 (4):716-724.
William P. Bechtel (1995). Consciousness: Perspectives From Symbolic and Connectionist AI. Neuropsychologia.
Andy Clark (1991). Microcognition: Philosophy, Cognitive Science, and Parallel Distributed Processing. Cambridge: MIT Press.
Martin Davies (2005). Cognitive Science. In Frank Jackson & Michael Smith (eds.), The Oxford Handbook of Contemporary Philosophy. New York: Oxford University Press New York.
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