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Литература

1201. Pemberton J. C. and Korf R. E. (1992) Incremental planning on graphs with cycles. In Hendler J.(Ed.), Artificial Intelligence Planning Systems: Proceedings of the First International Conference, p. 525-532, College Park, Maryland. Morgan Kaufmann.

1202. Penberthy J. S. and Weld D. S. (1992) UCPOP: A sound, complete, partial order planner for ADL.In Proceedings ofKR-92, p. 103-114. Morgan Kaufmann.

1203. Peng J. and Williams R. J. (1993) Efficient learning and planning within the Dyna framework.Adaptive Behavior, 2, p. 437-454.

1204. Penrose R. (1989) The Emperor's New Mind. Oxford University Press, Oxford, UK.

1205. Penrose R. (1994) Shadows of the Mind. Oxford University Press, Oxford, UK.

1206. Peot M. and Smith D. E. (1992) Conditional nonlinear planning. In Hendler J. (Ed.), Proceedings ofthe First International Conference on AI Planning Systems, p. 189-197, College Park, Maryland. Morgan Kaufmann.

1207. Pereira F. and Shieber S. M. (1987) Prolog and Natural-Language Analysis. Center for the Study ofLanguage and Information (CSLI), Stanford, California.

1208. Pereira F. and Warren D. H. D. (1980) Definite clause grammars for language analysis: A survey of theformalism and a comparison with augmented transition networks. Artificial Intelligence, 13, p. 231-278.

1209. Peterson С and Anderson J. R. (1987) A mean field theory learning algorithm for neural networks.Complex Systems, 1(5), p. 995-1019.

1210. Pfeffer A. (2000) Probabilistic Reasoning for Complex Systems. Ph.D. thesis, Stanford University,Stanford, California.

1211. Pinker S. (1989) Learnability and Cognition. MIT Press, Cambridge, MA.

1212. Pinker S. (1995) Language acquisition. In Gleitman L. R., Liberman M., and Osherson D. N. (Eds.),An Invitation to Cognitive Science (second edition), Vol. 1. MIT Press, Cambridge, Massachusetts.

1213. Pinker S. (2000) The Language Instinct: How the Mind Creates Language. MIT Press, Cambridge,Massachusetts.

1214. Plaat A., Schaeffer J., Pijls W., and de Bruin A. (1996) Best-first fixed-depth minimax algorithms.Artificial Intelligence Journal, #7(1-2), p. 255-293.

1215. Place U. T. (1956) Is consciousness a brain process? British Journal of Psychology, 47, p. 44-50.

1216. Plotkin G. (1971) Automatic Methods of Inductive Inference. Ph.D. thesis, Edinburgh University.

1217. Plotkin G. (1972) Building-in equational theories. In Meltzer B. and Michie D. (Eds.), MachineIntelligence 7, p. 73—90. Edinburgh University Press, Edinburgh, Scotland.

1218. Pnueli A. (1977) The temporal logic of programs. In Proceedings of the 18th IEEE Symposium on theFoundations of Computer Science (FOCS-77), p. 46-57, Providence, Rhode Island. IEEE, IEEE Computer Society Press.

1219. Pohl I. (1969) Bi-directional and heuristic search in path problems. Tech. rep. 104, SLAC (StanfordLinear Accelerator Center), Stanford, California.

1220. Pohl I. (1970) First results on the effect of error in heuristic search. In Meltzer B. and Michie D. (Eds.),Machine Intelligence 5, p. 219-236. Elsevier/North-Holland, Amsterdam, London, New York.