Journal ArticleDOI
Toward a model of representation changes
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The first steps in the development of a computer model of the process of changing representations in problem solving are presented, and a language for expressing representations and an interpreter for applying the transformations to representations have been developed.About:
This article is published in Artificial Intelligence.The article was published on 1980-08-01. It has received 114 citations till now. The article focuses on the topics: Representation (mathematics) & Information structure.read more
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Soar: an architecture for general intelligence
TL;DR: SOAR, an implemented proposal for a foundation for a system capable of general intelligent behavior, is presented and its organizational principles, the system as currently implemented, and demonstrations of its capabilities are described.
Journal ArticleDOI
SOAR: an architecture for general intelligence
TL;DR: SOAR as discussed by the authors is an implemented proposal for such an architecture, which is described in detail in the paper "SOAR: An Implementation of Cognitive Architecture for Artificial Intelligence" and demonstrated in the SOAR project.
Journal ArticleDOI
Chunking in Soar: the anatomy of a general learning mechanism
TL;DR: The anatomy of chunking in Soar is examined and a new demonstration of its learning capabilities involving the acquisition and use of macro-operators is provided.
Journal ArticleDOI
In Search of Insight.
Craig A. Kaplan,Herbert A. Simon +1 more
TL;DR: In this article, the authors describe the process of attaining the insight required to solve a particular problem, the Mutilated Checkerboard (MC) problem, and show that attaining insight requires discovering an effective problem representation, and that performance on insight problems can be predicted from the availability of generators and constraints in the search for a representation.
Book ChapterDOI
Learning by Analogy: Formulating and Generalizing Plans from Past Experience
TL;DR: This chapter outlines a theory of analogical problem solving based on an extension to means-ends analysis and an analogical transformation process is developed to extract knowledge from past successful problem-solving situations that bear a strong similarity to the current problem.
References
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Book
Computers and Intractability: A Guide to the Theory of NP-Completeness
TL;DR: The second edition of a quarterly column as discussed by the authors provides a continuing update to the list of problems (NP-complete and harder) presented by M. R. Garey and myself in our book "Computers and Intractability: A Guide to the Theory of NP-Completeness,” W. H. Freeman & Co., San Francisco, 1979.
Book
The Sciences of the Artificial
TL;DR: A new edition of Simon's classic work on artificial intelligence as mentioned in this paper adds a chapter that sorts out the current themes and tools for analyzing complexity and complex systems, taking into account important advances in cognitive psychology and the science of design while confirming and extending Simon's basic thesis that a physical symbol system has the necessary and sufficient means for intelligent action.
Book
Human Problem Solving
TL;DR: The aim of the book is to advance the understanding of how humans think by putting forth a theory of human problem solving, along with a body of empirical evidence that permits assessment of the theory.
Journal ArticleDOI
A relational model of data for large shared data banks
TL;DR: In this article, a model based on n-ary relations, a normal form for data base relations, and the concept of a universal data sublanguage are introduced, and certain operations on relations are discussed and applied to the problems of redundancy and consistency in the user's model.