Implications of Connectionism for Thinking about Rules

Although the “new connectionism” is causing a great stir in cognitive science and artificial intelligence, it has been difficult for people outside these fields to grasp. Through use of a concrete analogy, this article attempts to provide a nontechnical explanation of what connectionism is like and to show how it constitutes a radical alternative to the classical view of cognition based on implicit rules.

[1]  William J. Clancey.  Why today's computers don't learn the way people do , 1991 .

[2]  Personal Being: A Theory for Individual Psychology , 1985 .

[3]  Kenneth Mark Colby,et al.  Clinical artificial intelligence , 1981, Behavioral and Brain Sciences.

[4]  G. Lakoff,et al.  Women, Fire, and Dangerous Things: What Categories Reveal about the Mind , 1988 .

[5]  Mike Rose,et al.  Rigid Rules, Inflexible Plans, and the Stifling of Language: A Cognitivist Analysis of Writer’s Block , 1980, College Composition & Communication.

[6]  Marilyn Jager Adams,et al.  Beginning To Read: Thinking and Learning about Print. , 1991 .

[7]  H. Gardner,et al.  Language and Learning: The Debate between Jean Piaget and Noam Chomsky , 1983 .

[8]  L. Ross,et al.  Human Inference: Strategies and Shortcomings of Social Judgment. , 1981 .

[9]  S. Pinker,et al.  Connections and symbols , 1988 .

[10]  P. Smolensky.  On the proper treatment of connectionism , 1988, Behavioral and Brain Sciences.

[11]  Paul Thagard,et al.  Analogical Mapping by Constraint Satisfaction , 1989, Cogn. Sci..

[12]  A. Collins,et al.  Situated Cognition and the Culture of Learning , 1989 .

[13]  P. Thagard,et al.  Explanatory coherence , 1993 .

[14]  A. Tversky,et al.  Judgment under Uncertainty: Heuristics and Biases , 1974, Science.

[15]  G. Lakoff.  Women, fire, and dangerous things : what categories reveal about the mind , 1989 .

[16]  D. Hofstadter.  Metamagical Themas: Questing for the Essence of Mind and Pattern , 1985 .

[17]  Rom Harré,et al.  Personal Being: A Theory for Individual Psychology , 1984 .

[18]  Eleanor Rosch,et al.  Principles of Categorization , 1978 .

[19]  D. Schoen.  Educating the reflective practitioner , 1987 .

[20]  R. M. Harnish,et al.  The Representation of knowledge and belief , 1986 .

[21]  M. Posner.  Foundations of cognitive science , 1989 .

[22]  Zenon W. Pylyshyn,et al.  Connectionism and cognitive architecture: A critical analysis , 1988, Cognition.

[23]  J. Hobson.  The Dreaming Brain , 1988 .

[24]  Jerry A. Fodor,et al.  Fodor's guide to mental representation: the intelligent auntie's Vade-Mecum , 1993 .

[25]  N. Presmeg.  The body in the mind: The bodily basis of meaning, imagination and reason , 1992 .

[26]  John R. Anderson,et al.  Skill Acquisition and the LISP Tutor , 1989, Cogn. Sci..

[27]  Charles W. Butler,et al.  Naturally intelligent systems , 1990 .

[28]  John Seely Brown,et al.  Diagnostic Models for Procedural Bugs in Basic Mathematical Skills , 1978, Cogn. Sci..

[29]  David E. Rumelhart,et al.  The architecture of mind: a connectionist approach , 1989 .

[30]  James L. McClelland,et al.  Explorations in parallel distributed processing: a handbook of models, programs, and exercises , 1988 .

[31]  Charles M. Reigeluth,et al.  Instructional Design Theories and Models : An Overview of Their Current Status , 1983 .

[32]  H. Gardner.  The mind's new science: a history of the cognitive revolution , 1985 .

[33]  N. Wetherick.  The Computer and the Mind: An Introduction to Cognitive Science. By Philip N. Johnson‐Laird. Pp. 444. (Harvard University Press, 1988.) £23.50. (Also available from Fontana (1988), £6.95.) , 1988 .

[34]  David Chapman,et al.  What are plans for? , 1990, Robotics Auton. Syst..

[35]  Seth Chaiklin,et al.  On the Nature of Verbal Rules and Their Role in Problem Solving , 1984, Cogn. Sci..

[36]  E. Rosch,et al.  Cognition and Categorization , 1980 .

[37]  M. Scardamalia,et al.  When weak explanations prevail , 1989, Behavioral and Brain Sciences.