His main research concerns Artificial intelligence, Cognitive science, Soar, Human–computer interaction and Human Problem Solving. The Artificial intelligence study combines topics in areas such as Task, Subject and Information processing. His research investigates the connection with Cognitive science and areas like Turing which intersect with concerns in Group and Association.
His study in Soar is interdisciplinary in nature, drawing from both Cognitive architecture, Unified Theories of Cognition, Systems architecture and Chunking. While the research belongs to areas of Human–computer interaction, he spends his time largely on the problem of Structure, intersecting his research to questions surrounding Production and Data structure. His research in Human Problem Solving tackles topics such as CHREST which are related to areas like Mathematical optimization and Empirical evidence.
His primary areas of investigation include Artificial intelligence, Soar, Cognitive science, Human–computer interaction and Task. Allen Newell studies Adaptive reasoning, a branch of Artificial intelligence. His work deals with themes such as Cognitive architecture, Unified Theories of Cognition, Set and Chunking, which intersect with Soar.
His work focuses on many connections between Human–computer interaction and other disciplines, such as Structure, that overlap with his field of interest in Function and Set. He combines subjects such as Domain, Protocol analysis, Expert system, Simple and Natural language with his study of Task. His work carried out in the field of Information processing brings together such families of science as Class and Computer programming.
His scientific interests lie mostly in Soar, Artificial intelligence, Cognitive science, Chunking and Human–computer interaction. His Soar research integrates issues from Software engineering, Intelligent agent and Cognitive architecture, Unified Theories of Cognition. His Artificial intelligence research includes themes of Natural language processing, Symbol, GOMS, Task and Machine learning.
His Cognitive science study incorporates themes from Cognitive development, Syllogism, Information processing, Set and Applying psychology. His Chunking study combines topics from a wide range of disciplines, such as Dreyfus model of skill acquisition, Perception, Speedup and Explanation-based learning. The Human–computer interaction study combines topics in areas such as Structure and Knowledge level.
His primary scientific interests are in Artificial intelligence, Soar, Cognitive science, Chunking and Human–computer interaction. His studies in Artificial intelligence integrate themes in fields like Symbol, Turing and Natural language processing. As a member of one scientific family, Allen Newell mostly works in the field of Soar, focusing on Cognitive architecture and, on occasion, Structure.
His research investigates the link between Cognitive science and topics such as Set that cross with problems in Social relation and Social comparison theory. His Chunking study which covers Explanation-based learning that intersects with Empirical evidence and Knowledge base. Allen Newell studied Human–computer interaction and Task that intersect with Natural language and Man machine communication.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Human Problem Solving
Allen Newell.
(1972)
Human problem solving: The state of the theory in 1970.
Herbert A. Simon;Allen Newell.
American Psychologist (1971)
Human Problem Solving.
Nick Axten;Allen Newell;Herbert A. Simon.
Contemporary Sociology (1973)
The Psychology of Human-Computer Interaction
Stuart K. Card;Allen Newell;Thomas P. Moran.
(1983)
Unified Theories of Cognition
Allen Newell.
(1990)
SOAR: an architecture for general intelligence
J. E. Laird;A. Newell;P. S. Rosenbloom.
Artificial Intelligence (1987)
The knowledge level
Allen Newell.
Artificial Intelligence (1982)
Computer science as empirical inquiry: symbols and search
Allen Newell;Herbert A. Simon.
ACM Turing award lectures (2007)
Mechanisms of skill acquisition and the law of practice
A. Newell;P. S. Rosenbloom.
The Soar papers (vol. 1) (1993)
Elements of a theory of human problem solving.
Allen Newell;J. C. Shaw;Herbert A. Simon.
Psychological Review (1958)
Profile was last updated on December 6th, 2021.
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University of Michigan–Ann Arbor
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