| Description |
xii, 666 pages : illustrations ; 24 cm |
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text txt rdacontent |
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unmediated n rdamedia |
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volume nc rdacarrier |
| Bibliography |
Includes bibliographical references (pages 611-656)) and index. |
| Contents |
1. Intelligence and the roots of cognitive science -- 2. Vocabularies for describing intelligence -- 3. Representational schemes -- 4. Constraining the architecture of minds -- 5. Natural intelligence: human brain function -- 6. Network and structured representation schemes -- 7. Logic based representation and reasoning -- 8. Search strategies for weak method problem solving -- 9. Using knowledge and strong method problem solving. |
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10. Explicit symbol based learning models -- 11. Connectionist networks: history, the perceptron, and backpropagation -- 12. Competitive, reinforcement, and attractor learning models -- 13. Language representation and processing -- 14. Pragmatics and discourse -- 15. PROLOG as representation and language -- 16. Creating meta-interpreters in PROLOG -- 17. Cognitive science: problems and promise. |
| Summary |
Cognitive Science provides a unified and comprehensive look at the field, from foundations to applications. Luger explores the logical and philosophical bases of cognitive science with multiple models of intelligence, including neural networks and connectionism. Practical programming examples are included along with an introduction to PROLOG. |
| Subject |
Cognitive science.
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Cognition.
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Intellect.
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Learning.
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Neural networks (Computer science)
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Psycholinguistics.
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Psycholinguistics. (OCoLC)fst01081323
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Neural networks (Computer science) (OCoLC)fst01036260
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Learning. (OCoLC)fst00994826
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Intellect. (OCoLC)fst00975732
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Cognition. (OCoLC)fst00866457
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Cognitive science. (OCoLC)fst00866547
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| ISBN |
0124595707 (acid-free paper) |
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9780124595705 (acid-free paper) |
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