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1061.  Mitchell Т. М. (1977) Version spaces: A candidate elimination approach to rule learning. InProceedings of the Fifth International Joint Conference on Artificial Intelligence (IJCAI-77), p. 305— 310, Cambridge, Massachusetts. IJCAII.

1062. Mitchell Т. М. (1982) Generalization as search. Artificial Intelligence, 18(2), p. 203-226.

1063. Mitchell Т. М. (1990) Becoming increasingly reactive (mobile robots). In Proceedings of the EighthNational Conference on Artificial Intelligence (AAAI-90), Vol. 2, p. 1051-1058, Boston. MIT Press.

1064. Mitchell Т. М. (1997) Machine Learning. McGraw-Hill, New York.

1065. Mitchell Т. М., Keller R., and Kedar-Cabelli S. (1986) Explanation-based generalization: A unifyingview. Machine Learning, 1, p. 47—80.

1066. Mitchell T. M., UtgofTP. E., and Banerji R. (1983) Learning by experimentation: Acquiring and refiningproblem-solving heuristics. In Michalski R. S., Carbonell J. G., and Mitchell Т. М. (Eds.), Machine Learning: An Artificial Intelligence Approach, p. 163-190. Morgan Kaufmann, San Mateo, California.

1067. Mitkov R. (2002) Anaphora Resolution. Longman, New York.

1068. Mohr R. and Henderson Т. С (1986) Arc and path consistency revisited. Artificial Intelligence, 28(2),p. 225-233.

1069. Mohri M., Pereira F., and Riley M. (2002) Weighted finite-state transducers in speech recognition.Computer Speech and Language, 7(5(1), p. 69—88.

1070. Montague P. R., Dayan P., Person C, and Sejnowski T. (1995) Bee foraging in uncertainenvironments using predictive Hebbian learning. Nature, 377, p. 725—728.

1071.  Montague R. (1970) English as a formal language. In Linguaggi nella Societd e nella Tecnica, p. 189-224. Edizioni di Comunita, Milan.

1072. Montague R. (1973) The proper treatment of quantification in ordinary English. In Hintikka K. J. J.,Moravcsik J. M. E., and Suppes P. (Eds.) Approaches to Natural Language. D. Reidel, Dordrecht, Netherlands.

1073.  Montanari U. (1974) Networks of constraints: Fundamental properties and applications to pictureprocessing. Information Sciences, 7(2), p. 95-132.

1074. Montemerlo M., Thrun S., Koller D., and Wegbreit B. (2002) FastSLAM: A factored solution to thesimultaneous localization and mapping problem. In Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-02), Edmonton, Alberta. AAAI Press.

1075. Mooney R. (1999) Learning for semantic interpretation: Scaling up without dumbing down. In Cussens J.(Ed.), Proceedings of the 1st Workshop on Learning Language in Logic, p. 7—15. Springer-Verlag.

1076. Mooney R. J. and CaliffM. E. (1995) Induction of first-order decision lists: Results on learning thepast tense of English verbs. Journal of AIResearch, 3, p. 1—24.

1077. Moore A. W. and Atkeson С G. (1993) Prioritized sweeping — reinforcement learning with less dataand less time. Machine Learning, 13, p. 103-130.

1078. Moore E. F. (1959) The shortest path through a maze. In Proceedings of an International Symposiumon the Theory of Switching, Part II, p. 285-292. Harvard University Press, Cambridge, Massachusetts.

1079. Moore J. S. and Newell A. (1973) How can Merlin understand? In Gregg L. (Ed.), Knowledge andCognition. Lawrence Erlbaum Associates, Potomac, Maryland.

1080. Moore R. С (1980) Reasoning about knowledge and action. Artificial intelligence center technicalnote 191, SRI International, Menlo Park, California.