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Литература

1461. Stevens K. A. (1981) The information content of texture gradients. Biological Cybernetics, 42, p. 95-105.

1462. Stickel M. E. (1985) Automated deduction by theory resolution. Journal of Automated Reasoning,7(4), p. 333-355.

1463. Stickel M. E. (1988) A Prolog Technology Theorem Proven implementation by an extended Prologcompiler. Journal of Automated Reasoning, 4, p. 353-380.

1464. Stiller L. B. (1992) KQNKRR./CC4/оштш/, /5(1), p. 16-18.

1465. Stillings N. A., Weisler S., Feinstein M. H., Garfield J. L., and Rissland E. L. (1995) CognitiveScience: An Introduction (second edition). MIT Press, Cambridge, Massachusetts.

1466. Stockman G. (1979) A minimax algorithm better than alpha-beta? Artificial Intelligence, 12(2),p. 179-196.

1467. Stolcke A. and Omohundro S. (1994) Inducing probabilistic grammars by Bayesian model merging.In Proceedings of the Second International Colloquium on Grammatical Inference and Applications (ICGI-94), p. 106-118, Alicante, Spain. Springer-Verlag.

1468. Stone P. (2000) Layered Learning in Multi-Agent Systems: A Winning Approach to Robotic Soccer. MITPress, Cambridge, Massachusetts.

1469. Strachey С (1952) Logical or non-mathematical programmes. In Proceedings of the Association forComputing Machinery (ACM), p. 46-49, Toronto, Canada.

1470. Subramanian D. (1993) Artificial intelligence and conceptual design. In Proceedings of the ThirteenthInternational Joint Conference on Artificial Intelligence (IJCAI-93), p. 800-809, Chambery, France. Morgan Kaufmann.

1471. Subramanian D. and Feldman R. (1990) The utility of EBL in recursive domain theories. InProceedings of the Eighth National Conference on Artificial Intelligence (AAAI-90), Vol. 2, p. 942-949, Boston. MIT Press.

1472. Subramanian D. and Wang E. (1994) Constraint-based kinematic synthesis. In Proceedings of theInternational Conference on Qualitative Reasoning, p. 228—239. AAAI Press.

1473. Sugihara K. (1984) A necessary and sufficient condition for a picture to represent a polyhedral scene.IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 6(5), p. 578—586.

1474. Sussman G. J. (1975) A Computer Model of Skill Acquisition. Elsevier/North-Holland, Amsterdam,London, New York.

1475. Sussman G. J. and Winograd T. (1970) MICRO-PLANNER Reference Manual. Ai memo 203, MITAI Lab, Cambridge, Massachusetts.

1476. Sutherland I. (1963) Sketchpad: A man-machine graphical communication system. In Proceedings ofthe Spring Joint Computer Conference, p. 329-346. IFIPS.

1477. Sutton R. S. (1988) Learning to predict by the methods of temporal differences. Machine Learning, 3,p. 9-44.

1478. Sutton R. S., McAllester D. A., Singh S. P., and Mansour Y. (2000) Policy gradient methods forreinforcement learning with function approximation. In Solla S. A., Leen Т. К., and Muller K.-R. (Eds.), Advances in Neural Information Processing Systems 12, p. 1057—1063. MIT Press, Cambridge, Massachusetts.

1479. Sutton R. S. (1990) Integrated architectures for learning, planning, and reacting based onapproximating dynamic programming. In Machine Learning: Proceedings of the Seventh International Conference, p. 216—224, Austin, Texas. Morgan Kaufmann.

1480. Sutton R. S. and Barto A. G. (1998) Reinforcement Learning: An Introduction. MIT Press, Cambridge,Massachusetts.