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Литература

1621. Wos L. and Winker S. (1983) Open questions solved with the assistance of AURA. In Bledsoe W. W.and Loveland D. (Eds.) Automated Theorem Proving: After 25 Years: Proceedings of the Special Session of the 89th Annual Meeting of the American Mathematical Society, p. 71—88, Denver, Colorado. American Mathematical Society.

1622. Wright S. (1921) Correlation and causation. Journal of Agricultural Research, 20, p. 557-585.

1623. Wright S. (1931) Evolution in Mendelian populations. Genetics, 16, p. 97-159.

1624. Wright S. (1934) The method of path coefficients. Annals of Mathematical Statistics, 5, p. 161-215.

1625. Wu D. (1993) Estimating probability distributions over hypotheses with variable unification. InProceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI-93), p. 790-795, Chambery, France. Morgan Kaufmann.

1626. Wygant R. M. (1989) CLIPS — a powerful development and delivery expert system tool. Computersand Industrial Engineering, 17, p. 546—549.

1627. Yamada K. and Knight K. (2001) A syntax-based statistical translation model. In Proceedings of theThirty Ninth Annual Conference of the Association for Computational Linguistics, p. 228-235.

1628. Yang Q. (1990) Formalizing planning knowledge for hierarchical planning. ComputationalIntelligence, 6, p. 12-24.

1629. Yang Q. (1997) Intelligent planning: A decomposition and abstraction based approach. Springer-Verlag,Berlin.

1630. Yedidia J., Freeman W., and Weiss Y. (2001) Generalized belief propagation. In Leen Т. К.,Dietterich Т., and Tresp V. (Eds.) Advances in Neural Information Processing Systems 13. MIT Press, Cambridge, Massachusetts.

1631. Yip К. М.-К. (1991) KAM: A System for Intelligently Guiding Numerical Experimentation by Computer.MIT Press, Cambridge, Massachusetts.

1632. Yngve V. (1955) A model and an hypothesis for language structure. In Locke W. N. and Booth A. D.(Eds.) Machine Translation of Languages, p. 208-226. MIT Press, Cambridge, Massachusetts.

1633. Yob G. (1975) Hunt the wumpus! Creative Computing, Sep/Oct.

1634. Yoshikawa T. (1990) Foundations of Robotics: Analysis and Control. MIT Press, Cambridge,Massachusetts.

1635. Young R. M., Pollack M. E., and Moore J. D. (1994) Decomposition and causality in partial orderplanning. In Proceedings of the 2nd International Conference on Artificial Intelligence Planning Systems (AIPS-94), p. 188-193, Chicago.

1636. Younger D. H. (1967) Recognition and parsing of context-free languages in time n2. Information andControl, Щ2), p. 189-208.

1637. Zadeh L. A. (1965) Fuzzy sets. Information and Control, 8, p. 338-353.

1638. Zadeh L. A. (1978) Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets and Systems, 1, p. 3-28.

1639. Zaritskii V. S., Svetnik V. В., and Shimelevich L. I. (1975) Monte-Carlo technique in problems ofoptimal information processing. Automation and Remote Control, 36, p. 2015-22.

1640. Zelle J. and Mooney R. J. (1996) Learning to parse database queries using inductive logicprogramming. In Proceedings of the Thirteenth National Conference on Artificial Intelligence, p. 1050-1055.

1641.Zermelo E. (1913) Uber Eine Anwendung der Mengenlehre auf die Theorie des Schachspiels. In Proceeding? of the Fifth International Congress of Mathematicians, Vol. 2, p. 501-504.

1642. Zermelo E. (1976) An application of set theory to the theory of chess-playing. Firbush News, 6,p. 37-42. Перевод на английский работы [1641].

1643. Zhang N. L. and Poole D. (1994) A simple approach to bayesian network computations. InProceedings of the 10th Canadian Conference on Artificial Intelligence, p. 171—178, Banff, Alberta. Morgan Kaufmann.

1644. Zhang N. L. and Poole D. (1996) Exploiting causal independence in Bayesian network inference.Journal of Artificial Intelligence Research, 5, p. 301—328.

1645. Zhou R. and Hansen E. (2002) Memory-bounded A* graph search. In Proceedings of the 15thInternational Flairs Conference.

1646. Zhu D. J. and Latombe J.-C. (1991) New heuristic algorithms for efficient hierarchical pathplanning. IEEE Transactions on Robotics and Automation, 7(1), p. 9-20.

1647. Zilberstein S. and Russell S. J. (1996) Optimal composition of real-time systems. ArtificialIntelligence, 83, p. 181-213.

1648. Zimmermann H.-J. (Ed.) (1999) Practical applications of fuzzy technologies. Kluwer, Dordrecht,Netherlands.

1649. Zimmermann H.-J. (2001) Fuzzy Set Theory— And Its Applications (Fourth edition). Kluwer,Dordrecht, Netherlands.

1650. Zobrist A. L. (1970) Feature Extraction and Representation for Pattern Recognition and the Game of Go.Ph.D. thesis, University of Wisconsin.

1651. Zuse K. (1945) The Plankalkbl. Report 175, Gesellschaft fur Mathematik und Datenverarbeitung,Bonn, Germany.

1652. Zweig G. and Russell S. J. (1998) Speech recognition with dynamic Bayesian networks. InProceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), p. 173—180, Madison, Wisconsin. AAA! Press.