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341.de Dombal F. Т., Staniland J. R., and Clamp S. E. (1981) Geographical variation in disease presentation. Medical Decision Making, 1, p. 59-69.

342. de Finetti B. (1937) Le prevision: ses lois logiques, ses sources subjectives. Ann. Inst. Poincaru, 7,p. 1-68.

343. de Freitas J. F. G., Niranjan M., and Gee A. H. (2000) Sequential Monte Carlo methods to trainneural network models. Neural Computation, 12(4), p. 933—953.

344. de Юеег J. (1975) Qualitative and quantitative knowledge in classical mechanics. Tech. rep. AI-TR-352, MITArtificial Intelligence Laboratory.

345. de Юеег J. (1986a) An assumption-based TMS. Artificial Intelligence, 28(2), p. 127-162.

346. de Kleer J. (1986b) Extending the ATMS. Artificial Intelligence, 28(2), p. 163-196.

347. de Юеег J. (1986c) Problem solving with the ATMS. Artificial Intelligence, 28(2), p. 197-224.

348. de Юеег J. (1989) A comparison of ATMS and CSP techniques. In Proceedings of the EleventhInternational Joint Conference on Artificial Intelligence (IJCAI-89), Vol. 1, p. 290-296, Detroit. Morgan Kaufmann.

349. de Юеег J. and Brown J. S. (1985) A qualitative physics based on confluences. In Hobbs J. R. andMoore R. С (Eds.), Formal Theories of the Commonsense World, chap. 4, p. 109-183. Ablex, Norwood, New Jersey.

350. de Marcken C. (1996) Unsupervised Language Acquisition. Ph.D. thesis, MIT.

351. De Morgan A. (1864) On the syllogism IV and on the logic of relations. Cambridge PhilosophicalTransactions, x, p. 331—358.

352. De Raedt L. (1992) Interactive Theory Revision: An Inductive Logic Programming Approach. AcademicPress, New York.

353.de Saussure F. (1910; повторно опубликовано в 1993) Lectures on General Linguistics. Pergamon Press, Oxford, UK.

354. Deacon T. W. (1997) The symbolic species: The co-evolution of language and the brain. W. W. Norton,New York.

355. Deale M., Yvanovich M., Schnitzius D., Kautz D., Carpenter M., Zweben M., Davis G., and DaunB. (1994) The space shuttle ground processing scheduling system. In Zweben M. and Fox M. (Eds.), Intelligent Scheduling, p. 423-449. Morgan Kaufmann, San Mateo, California.

356. Dean Т., Basye K., Chekaluk R., and Hyun S. (1990) Coping with uncertainty in a control system fornavigation and exploration. In Proceedings of the Eighth National Conference on Artificial Intelligence (AAAJ-90), Vol. 2, p. 1010-1015, Boston. MIT Press.

357. Dean T. and Boddy M. (1988) An analysis of time-dependent planning. In Proceedings of the SeventhNational Conference on Artificial Intelligence (AAAI-88), p. 49-54, St. Paul, Minnesota. Morgan Kaufmann.

358. Dean Т., Firby R. J., and Miller D. (1990) Hierarchical planning involving deadlines, travel time, andresources. Computational Intelligence, 5(1), 381-398.

359. Dean Т., Kaelbling L. P., Kirman J., and Nicholson A. (1993) Planning with deadlines in stochasticdomains. In Proceedings of the Eleventh National Conference on Artificial Intelligence (AAAI-93), p. 574-579, Washington, DC. AAAI Press.

360. Dean T. and Kanazawa K. (1989a) A model for projection and action. In Proceedings of the EleventhInternational Joint Conference on Artificial Intelligence (IJCAI-89), p. 985-990, Detroit. Morgan Kaufmann.