Symbols and Embodiment: Debates on Meaning and Cognition
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Oxford University Press (2008)
Cognitive scientists have a variety of approaches to studying cognition: experimental psychology, computer science, robotics, neuroscience, educational psychology, philosophy of mind, and psycholinguistics, to name but a few. In addition, they also differ in their approaches to cognition - some of them consider that the mind works basically like a computer, involving programs composed of abstract, amodal, and arbitrary symbols. Others claim that cognition is embodied - that is, symbols must be grounded on perceptual, motoric, and emotional experience. The existence of such different approaches has consequences when dealing with practical issues such as understanding brain disorders, designing artificial intelligence programs and robots, improving psychotherapy, or designing instructional programs. The symbolist and embodiment camps seldom engage in any kind of debate to clarify their differences. This book is the first attempt to do so. It brings together a team of outstanding scientists, adopting symbolist and embodied viewpoints, in an attempt to understand how the mind works and the nature of linguistic meaning. As well as being interdisciplinary, all authors have made an attempt to find solutions to substantial issues beyond specific vocabularies and techniques
|Keywords||Philosophy of mind Human information processing Mind and body Symbolism (Psychology Cognitive science|
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|Buy the book||$16.17 new (80% off) $25.00 used (69% off) $73.59 direct from Amazon (8% off) Amazon page|
|Call number||BD418.3.S925 2008|
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Citations of this work BETA
Danielle S. McNamara (2011). Computational Methods to Extract Meaning From Text and Advance Theories of Human Cognition. Topics in Cognitive Science 3 (1):3-17.
Brian Riordan & Michael N. Jones (2011). Redundancy in Perceptual and Linguistic Experience: Comparing Feature-Based and Distributional Models of Semantic Representation. Topics in Cognitive Science 3 (2):303-345.
Brendan T. Johns & Michael N. Jones (2012). Perceptual Inference Through Global Lexical Similarity. Topics in Cognitive Science 4 (1):103-120.
Akira Utsumi (2011). Computational Exploration of Metaphor Comprehension Processes Using a Semantic Space Model. Cognitive Science 35 (2):251-296.
Max M. Louwerse & Nick Benesh (2012). Representing Spatial Structure Through Maps and Language: Lord of the Rings Encodes the Spatial Structure of Middle Earth. Cognitive Science 36 (8):1556-1569.
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