What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- Cognitive science
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 most cited work include:
- Human Problem Solving. (6825 citations)
- Human Problem Solving (5146 citations)
- The Psychology of Human-Computer Interaction (3864 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Artificial intelligence (39.09%)
- Soar (20.58%)
- Cognitive science (13.99%)
What were the highlights of his more recent work (between 1992-2018)?
- Soar (20.58%)
- Artificial intelligence (39.09%)
- Cognitive science (13.99%)
In recent papers he was focusing on the following fields of study:
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.
Between 1992 and 2018, his most popular works were:
- GPS, a program that simulates human thought (716 citations)
- Mechanisms of skill acquisition and the law of practice (646 citations)
- Chunking in Soar: the anatomy of a general learning mechanism (510 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Cognitive science
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.
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