| 000 | 00892camuu2200253 a 4500 | |
| 001 | 000000872697 | |
| 005 | 20040308113935 | |
| 008 | 910220s1991 njua 101 0 eng | |
| 010 | ▼a 91011395 | |
| 020 | ▼a 0805804056 | |
| 040 | ▼a DLC ▼c DLC ▼d 211009 | |
| 049 | 1 | ▼l 111279163 |
| 050 | 0 0 | ▼a QA76.9.A73 ▼b C37 1988 |
| 082 | 0 0 | ▼a 006.3 ▼2 21 |
| 090 | ▼a 006.3 ▼b C289a | |
| 111 | 2 | ▼a Carnegie Symposium on Cognition ▼n (22nd : ▼d 1988 : ▼c Carnegie-Mellon University) |
| 245 | 1 0 | ▼a Architectures for intelligence / ▼c the Twenty-second Carnegie Symposium on Cognition ; edited by Kurt Van Lehn. |
| 260 | ▼a Hillsdale, N.J. : ▼b L. Erlbaum Associates, ▼c 1991. | |
| 300 | ▼a x, 436 p. : ▼b ill. ; ▼c 24 cm. | |
| 500 | ▼a Includes index. | |
| 650 | 0 | ▼a Computer architecture ▼x Congresses. |
| 650 | 0 | ▼a Artificial intelligence ▼x Congresses. |
| 700 | 1 | ▼a VanLehn, Kurt. |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 006.3 C289a | 등록번호 111279163 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
This unique volume focuses on computing systems that exhibit intelligent behavior. As such, it discusses research aimed at building a computer that has the same cognitive architecture as the mind -- permitting evaluations of it as a model of the mind -- and allowing for comparisons between computer performance and experimental data on human performance. It also examines architectures that permit large, complex computations to be performed -- and questions whether the computer so structured can handle these difficult tasks intelligently.
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목차
Contents: Preface. Part I: Cognitive Psychology. J.R. Anderson, The Place of Cognitive Architectures in a Rational Analysis. H.A. Simon, Cognitive Architectures and Rational Analysis: Comment. J.L. McClelland, E. Jenkins, Nature, Nurture and Connections: Implications of Connectionist Models for Cognitive Development. P.S. Rosenbloom, A. Newell, J.E. Laird, Towards the Knowledge Level in Soar: The Role of the Architecture in the Use of Knowledge. W. Schneider, W.L. Oliver, An Instructable Connectionist/Control Architecture: Using Rule-Based Instructions to Accomplish Connectionist Learning in a Human Time Scale. K. VanLehn, W. Ball, Goal Reconstruction: How Teton Blends Situated Action and Planned Action. Z.N. Pylyshyn, The Role of Cognitive Architectures in Theories of Cognition. Part II: Artificial Intelligence. R.A. Brooks, How to Build Complete Creatures Rather than Isolated Cognitive Simulators. J.G. Carbonell, C.A. Knoblock, S. Minton, Prodigy: An Integrated Architecture for Planning and Learning. M.R. Genesereth, A Comparative Analysis of Some Simple Architectures for Autonomous Agents. B. Hayes-Roth, Making Intelligent Systems Adaptive. T.M. Mitchell, J. Allen, P. Chalasani, J. Cheng, O. Etzioni, M. Ringuette, J.C. Schlimmer, Theo: A Framework for Self-Improving Systems. W.J. Clancey, The Frame of Reference Problem in the Design of Intelligent Machines.
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