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By Stephanie Forrest
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Inside This Book
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First Sentence:
A classifier system is a computational model of cognition based on the principles of learning, intermittent feedback from the environment, and construction of internal models [73]. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
global message list, classifier system representation, final message list, incoming concept, role value maps, external command processor, classifier system implementation, most specific subsumer, subsumption test, computational tradeoffs, following classifier, classifier list, classifier systems, primitive marks, additional classifiers, concept subsumption, one classifier, negated conditions, role chain, subsumption algorithms, first classifier, default hierarchies, value restriction, two classifiers, second classifier Key Phrases - Capitalized Phrases (CAPs): (learn more)
Time Step Message List, Most Specific Subsumers, Connection Machine, Left Delay, Save Reset, Reset Save New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
A classifier system is a computational model of cognition based on the principles of learning, intermittent feedback from the environment, and construction of internal models [73]. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
global message list, classifier system representation, final message list, incoming concept, role value maps, external command processor, classifier system implementation, most specific subsumer, subsumption test, computational tradeoffs, following classifier, classifier list, classifier systems, primitive marks, additional classifiers, concept subsumption, one classifier, negated conditions, role chain, subsumption algorithms, first classifier, default hierarchies, value restriction, two classifiers, second classifier Key Phrases - Capitalized Phrases (CAPs): (learn more)
Time Step Message List, Most Specific Subsumers, Connection Machine, Left Delay, Save Reset, Reset Save New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Back Cover | Surprise Me!
Citations (learn more)
This book cites 46
books:
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9
books
cite this book:
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- The Sciences of the Artificial - 3rd Edition by Herbert A. Simon on page 123, and Back Matter
- Artificial Intelligence by A. E. Nisenfedl in Front Matter, and Back Matter
- Genetic Algorithms and Simulated Annealing by Lawrence Davis in Front Matter, and Back Matter
- Cellular Automata by Doyne Farmer in Back Matter
- Sparse Distributed Memory (Bradford Books) by Pentti Kanerva in Back Matter
See all 46 books this book cites
- Dynamic, Genetic, and Chaotic Programming: The Sixth-Generation (Sixth Generation Computer Technologies) by Branko Soucek on page 319
- Practical Handbook of Genetic Algorithms: Volume 2: New Frontiers (Practical Handbook of Genetic Algorithms Vol. 2) by Lance Chambers in Back Matter
- Advances in Learning Classifier Systems by Pier L. Lanzi on page 226
- Evolutionary Computation: Theory and Applications by Xin Yao on page 194
- Genetic Fuzzy Systems: Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases (Advances in Fuzzy Systems - Applications & Theory) by Oscar Cordón in Back Matter
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