Mental Models

出版者:Harvard University Press

作者:Philip Johnson-Laird

页数:528

出版时间:1986-1-1

价格:USD 38.50

装帧:Paperback

isbn号码:9780674568822

图书标签:认知科学心智哲学馒头毛豆psychologymental_modelscogscicognitionPhilip_Johnson-Laird

"Mental Models" offers nothing less than a unified theory of the major properties of mind: comprehension, inference, and consciousness. In spirited and graceful prose, Johnson-Laird argues that we apprehend the world by building inner mental replicas of the relations among objects and events that concern us. The mind is essentially a model-building device that can itself be modeled on a digital computer. This book provides both a blueprint for building such a model and numerous important illustrations of how to do it. In several key areas of cognition, Johnson-Laird shows how an explanation based on mental modeling is clearly superior to previous theory. For example, he argues compellingly that deductive reasoning does not take place by tacitly applying the rules of logic, but by mentally manipulating models of the states of affairs from which inferences are drawn. Similarly, linguistic comprehension is best understood not as a matter of applying inference rules to propositions derived from sentences, but rather as the mind's effort to construct and update a model of the situation described by a text or a discourse. Most provocative, perhaps, is Johnson-Laird's theory of consciousness: the mind's necessarily incomplete model of itself allows only a partial control over the many unconscious and parallel processes of cognition. This an extraordinarily rich book, providing a coherent account of much recent experimental work in cognitive psychology, along with lucid explanations of relevant theory in linguistics, computer science, and philosophy Not since Miller, Galanter, and Pribram's classic "Plans and the Structure of Behavior" has a book in cognitive science combined such sweep, style, and good sense. Like its distinguished predecessor, "Mental Models" may well serve to fix a point of view for a generation.