Concept Learning: An Information Processing Problem |
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Contents
one The Nature of Concept Learning | 1 |
two Analysis of the Problem | 11 |
three Concept Learning and Basic Learning | 47 |
Copyright | |
7 other sections not shown
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Common terms and phrases
analysis answer artificial intelligence artificial intelligence system behavior binary Bourne Bruner categorized cept Chapter classification complex concept learning concept-learning problem condition conjunctive concept correct cue-conditioning cues decision tree defined definition denotation developed device discrimination disjunctive concept errors evaluate example exclusive disjunction experimental experiments focusing function Goodnow Hovland human inductive inductive reasoning information theory input irrelevant Kendler Kochen learner Logic Theorist machine magic number seven mathematical matrix mediating response memory ment mother heroines naming response negative instances Newell node operations paired associates particular partition pattern pattern recognition perception perceptron performance positive instances possible predict presented Pribram probability problem solving procedure Psychol psychology random relevant dimensions Restle Restle's rules selection set theory Shepard simulation situation specified stimulus elements stimulus identification stimulus sampling stimulus trace stimulus-response theories strategy subjects subset symbolic logic task techniques template theoretical theory tion tote unit trial trit word
Bibliographic information
| Title | Concept Learning: An Information Processing Problem Western management science institute : Univ. of California at Los Angeles |
| Author | Earl B. Hunt |
| Edition | 2 |
| Publisher | Wiley, 1966 |
| Original from | the University of California |
| Digitized | Sep 21, 2007 |
| Length | 286 pages |
| Export Citation | BiBTeX EndNote RefMan |