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Литература

161. Box G. E. P. (1957) Evolutionary operation: A method of increasing industrial productivity. AppliedStatistics, 6, p. 81-101.

162. Boyan J. A. (2002) Technical update: Least-squares temporal difference learning. Machine Learning,49(2-3), p. 233-246.

163. Boyan J. A. and Moore A. W. (1998) Learning evaluation functions for global optimization andBoolean satisfiability. In Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98), Madison, Wisconsin. AAAI Press.

164. Boyen X., Friedman N., and Roller D. (1999) Discovering the hidden structure of complex dynamicsystems. In Uncertainty in Artificial Intelligence: Proceedings of the Fifteenth Conference, Stockholm. Morgan Kaufmann.

165. Boyer R. S. and Moore J. S. (1979) A Computational Logic. Academic Press, New York.

166. Boyer R. S. and Moore J. S. (1984) Proof checking the RSA public key encryption algorithm.American Mathematical Monthly, 91(3), p. 181-189.

167. Brachman R. J. (1979) On the epistemological status of semantic networks. In Findler N. V. (Ed.),Associative Networks: Representation and Use of Knowledge by Computers, p. 3-50. Academic Press, New York.

168. Brachman R. J., Fikes R. E., and Levesque H. J. (1983) Krypton: A functional approach to knowledgerepresentation. Computer, 16(10), p. 67-73.

169. Brachman R. J. and Levesque H. J. (Eds.) (1985) Readings in Knowledge Representation. MorganKaufmann, San Mateo, California.

170. Bradtke S. J. and Barto A. G. (1996) Linear least-squares algorithms for temporal difference learning.Machine Learning, 22, p. 33-57.

171. Brafman R. I. and Tennenholtz M. (2000) A near optimal polynomial time algorithm for learning incertain classes of stochastic games. Artificial Intelligence, 121, p. 31-47.

172. Braitenberg V. (1984) Vehicles: Experiments in Synthetic Psychology. MIT Press.

173. Bransford J. and Johnson M. (1973) Consideration of some problems in comprehension. In Chase W.G. (Ed.), Visual Information Processing. Academic Press, New York.

174. Bratko I. (1986) Prolog Programming for Artificial Intelligence (1st edition). Addison-Wesley, Reading,Massachusetts.

175. Bratko I. (2001) Prolog Programming for Artificial Intelligence (Third edition). Addison-Wesley,Reading, Massachusetts.

176. Bratman M. E. (1987) Intention, Plans, and Practical Reason. Harvard University Press, Cambridge,Massachusetts.

177. Bratman M. E. (1992) Planning and the stability of intention. Minds and Machines, 2(1), p. 1-16.

178. Breese J. S. and Heckerman D. (1996) Decision-theoretic troubleshooting: A framework for repairand experiment. In Uncertainty in Artificial Intelligence: Proceedings of the Twelfth Conference, p. 124-132, Portland, Oregon. Morgan Kaufmann.

179. Breiman L. (1996) Bagging predictors. Machine Learning, 26(2), p. 123-140.

180. Breiman L., Friedman J., Olshen R. A., and Stone P. J. (1984) Classification and Regression Trees.Wadsworth International Group, Belmont, California.