Journal ArticleDOI
For the right reasons: The FORR architecture for learning in a skill domain☆
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TLDR
It is suggested that knowledge acquisition can be managed as a transition from general expertise to specific expertise and an implementation for game playing is described that raises interesting issues about the organization and modification of conflicting expertise, and the role that experience plays in such learning.About:
This article is published in Cognitive Science.The article was published on 1994-07-01. It has received 84 citations till now. The article focuses on the topics: Domain knowledge & Knowledge acquisition.read more
Citations
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Journal ArticleDOI
Cognitive architectures: Research issues and challenges
TL;DR: The motivations for research on cognitive architectures are examined, some candidates that have been explored in the literature are reviewed, and some properties that a cognitive architecture should exhibit related to representation, organization, performance, and learning are considered.
Journal ArticleDOI
40 years of cognitive architectures: core cognitive abilities and practical applications
Iuliia Kotseruba,John K. Tsotsos +1 more
TL;DR: This survey describes a variety of methods and ideas that have been tried and their relative success in modeling human cognitive abilities, as well as which aspects of cognitive behavior need more research with respect to their mechanistic counterparts and thus can further inform how cognitive science might progress.
Proceedings ArticleDOI
Toward a Unified Catalog of Implemented Cognitive Architectures
TL;DR: This work is a review of the online Comparative Table of Cognitive Architectures (the version that was available at http://bicasymposium.com/cogarch on September 20, 2010).
Journal Article
The Adaptive Constraint Engine
TL;DR: The Adaptive Constraint Engine (ACE) as discussed by the authors learns search-order heuristics from problem-solving experience, which is used to automate the application of constraint programming expertise and the extraction of domain-specific expertise.
Book
Machine learning in games: a survey
TL;DR: This paper provides a survey of previously published work on machine learning in game playing around a variety of problems that typically arise in gamePlaying and that can be solved with machine learning methods.
References
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Intelligence without Representation
TL;DR: Brooks et al. as mentioned in this paper decompose an intelligent system into independent and parallel activity producers which all interface directly to the world through perception and action, rather than interface to each other particularly much.
Journal ArticleDOI
Some studies in machine learning using the game of checkers
TL;DR: In this article, two machine learning procedures have been investigated in some detail using the game of checkers, and enough work has been done to verify the fact that a computer can be programmed so that it will lear...
Book
Machine Learning: An Artificial Intelligence Approach
TL;DR: This book contains tutorial overviews and research papers on contemporary trends in the area of machine learning viewed from an AI perspective, including learning from examples, modeling human learning strategies, knowledge acquisition for expert systems, learning heuristics, discovery systems, and conceptual data analysis.
Book
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.