Тем, кого интересуют определенные темы исследований, я рекомендую регулярно просматривать материалы конференций 


Мы поможем в написании ваших работ!



ЗНАЕТЕ ЛИ ВЫ?

Тем, кого интересуют определенные темы исследований, я рекомендую регулярно просматривать материалы конференций



IJCAI (International Joint Conference on Artificial Intelligence),

AAAI (The National Conference on Artificial Intelligence). Эта конференция проводится при поддержке Американской ассоциации искусственного интеллекта (American Association for Artificial Intelligence);

ECAI (European Conference on Artificial Intelligence).

О новых областях применения методов искусственного интеллекта можно узнать в трудах специализированных конференций, касающихся космических исследований, автоматизации проектирования, производства, правоведения и др. Обычно календарь проведения подобных конференций публикуется на страницах журналов AI Magazine и Communications of the Association for Computer Machinery. В рамках Association for Computer Machinery работает Special Interest Group on Artificial Intelligence (SIGART), которая ежеквартально публикует собственный сборник сообщений.

Прекрасным источником работ прошлых лет является журнал Artificial Intelligence. В электронном журнале Journal of Artificial Intelligence Research вы найдете рефераты материалов, распространяемых по сети Internet с 1993 года. Его адрес

http: //www. cs/washington. edu/research/ jair/home. html

В Internet существует и много других источников информации по проблемам искусственного интеллекта. Ниже приведены только некоторые из них.

http://www.aaai.org— сервер Американской ассоциации искусственного интеллекта (American Association for Artificial Intelligence);

http://www.cs.cmu.edu/Groups/AI/html/repository.html - хранилище публикаций по искусственному интеллекту при университете Карнеги-Меллона;

http://www.comlab.ox.ac.uk/archive/comp/ai.html— включает каталоги отдельных лабораторий, занимающихся проблемами искусственного интеллекта;

http://www.jsc.nasa.gov/ ~clips/CLIPS.html — сервер CLIPS;

http://www.ai-cbr.org/theindex.html— источники, касающиеся методики использования прецедентов в системах искусственного интеллекта.


Литература

Abelson H., Sussman G. J. and Sussman J. (1996). Structure and Interpretation of Computer Programs. Cambridge MA: MIT Press.

Abu-Hakima S., Halasz M. and Phan S. (1993). An approach to hypermedia in diagnostic systems. In Intelligent Multi-Media Interfaces (Maybury M., eds.). AAAI Press/MIT Pressi

Acorn T. L. and Walden S. (1992). SMART: Support Management Automated Reasoning Technology for Compaq customer service. In Proc. Innovative Applications of Artificial Intelligence (IAAI-92), p. 3-18.

Adams J. B. (1976). A probability model of medical reasoning and the MYCIN model. Mathematical Biosciences, 32, p. 177-186. See also Buchanan and Shortliffe (1984), Chapter 12.

Aiello N. (1983). A comparative study of control strategies for expert systems: AGE implementation of three variations of PUFF. In Proc. National Conference on Artificial Intelligence, p. 1-4.

Aiello N. (1986). User-Directed Control of Parallelism: The CAGE System. Technical Report No. KSL-86-31, Knowledge Systems Laboratory, Stanford University.

Aikins J. S. (1983). Prototypical knowledge for expert systems. Artificial Intelligence, 10, p. 163-210.

Aikins J. S., Kunz J. C., Shortliffe E. H. and Fallat R. J. (1984). PUFF: an expert system for interpretation of pulmonary function data. In Readings in Medical Artificial Intelligence (Clancey W. J. and Shortliffe E. H., eds.). Chapter 19. Reading, MA: Addison-Wesley.

Aleven V. and Ashley K. D. (1997). Evaluating A Learning Environment For Case-Based Argumentation Skills. In Proc. Sixth International Conference on Artificial Intelligence and Law, ACM Press, p. 170.

Alexander J. H., Freiling M. J., Shulman S. J., Staley J. L., Rehfuss S. and Messick S. L. (1986). Knowledge level engineering: ontological analysis. In Proc. National Conference on Artificial Intelligence, p. 963-968.

Allen B. (1994). Case-based reasoning: business applications. Communications of the ACM, 37(3), p. 40^2.

Allen J.F. (1983). Maintaining knowledge about temporal intervals. Communications of the ACM, 26(11), p. 832-843.

Allen J. F. (1995). Natural Language Understanding, 2nd edn. Menlo Park, CA: Benja-min/Cummings.

Amarel S. (1968). On representations of problems of reasoning about actions. In Machine Intelligence 3 (Michie D., eds.), p. 131-171. Edinburgh: Edinburgh University Press.

Anderson J. R. (1976). Language, Memory and Thought. Hillsdale NJ: Lawrence Eribaum. Andrews P. B. (1986). An Introduction to Mathematical Logic and Type Theory: To Truth

through Proof. Orlando FL, Academic Press. Ashley K. D. (1990). Modeling Legal Argument: Reasoning With Cases and Hypothetical.

Cambridge MA: MIT Press.

Ashley K. and Aleven V. (1997). Reasoning symbolically about partially matched cases. International Joint Conference on Artificial Intelligence, IJCAI-1997. San Francisco: Morgan Kaufmann, p. 335-341.

Ashley K. D. and Rissland E. L. (1988). A case-based approach to modelling legal expertise. IEEE Expert, 3(3), p. 70-77.

Bachant J. (1988). RIME: preliminary work towards a knowledge acquisition tool. In Automating Knowledge Acquisition for Expert Systems (Marcus S., eds.), Chapter 7. Boston: Kluiver Academic.

Baldwin J. E, eds. (1996). Fuzzy Logic. New York: Wiley.

Barr A. and Feigenbaum E. A., eds. (1981). The Handbook of Artificial Intelligence Vol. 1. Los Altos CA: Morgan Kaufmann.

Barr A. and Feigenbaum E. A., eds. (1982). The Handbook of Artificial Intelligence Vol. 2. Los Altos CA: Morgan Kaufmann.

Baum L. S., Dodhiawala R. T. and Jagannathan V. (1989). The Erasmus System. In Blackboard Architectures and Applications (Jagannathan V, Dodhiawala R. and Baum L., eds.), p. 347-370. New York: Academic Press.

Belew R. K. (1986). Adaptive information retrieval: machine learning in associative networks. PhD thesis, University of Michigan, Computer Science Department, Ann Arbor, MI.

Bennett J. S., Creary L., Englemore R. and Melosh R. (1978). SACON: A Knowledge Based Consultant for Structural Analysis. Report No. HPP-78-23, Computer Science Department, Stanford University.

Bergadano F. and Gunetti D. (1996). Inductive Logic Programming: From Machine Learning to Software Engineering. Cambridge MA: MIT Press.

Biswas G. and Anand T. S. (1987). MIDST: an expert system shell for mixed initiative reasoning. In Proc. International Symposium on Methodologies for Intelligent Systems, p. 1-8.

Bobrow D. G. and Collins A., eds. (1975). Representation and Understanding. New York: Academic Press.

Bobrow D. G. and Stefik M. (1983). The LOOPS manual. Xerox Corporation.

Bobrow D. G. and Winograd T. (1977). An overview of KRL, a knowledge representation language. Cognitive Science, 1(1).

Bobrow D. G. and Winograd T. (1979). KRL: another perspective. Cognitive Science, 3(1).

Booch G. (1994). Object-Oriented Analysis and Design with Applications, 2nd edn. Redwood City CA: Benjamin/Cummings. (Русский перевод первого издания: Буч Г. Объектно-ориентированное проектирование с примерами применения. — М.: Конкорд, 1992.)

Boose J. H. (1986). Expertise Transfer for Expert System Design. New York: Elsevier.

Boose J. H. (1989). A survey of knowledge acquisition techniques and tools. Knowledge Ac-^ quisition, 1(1), p. 3-37.

Boose J. H. and Bradshaw J. M. (1987). Expertise transfer and complex problems: using. AQUINAS as a workbench for knowledge based systems. International Journal of Man-Machine Studies, 26, p. 1-28.

Boose J. H. and Gaines B. (1988). Knowledge Acquisition Tools for Expert Systems. New York: Academic Press.

Borron J., Morales D. and Klahr P. (1996). Developing and deploying knowledge on a global scale. In Innovative Applications of Artificial Intelligence 8, Proceedings of AAAI-96. Menlo Park CA: AAAI Press.

Brachman R. J. and Levesque H. J. (1985). Readings in Knowledge Representation. Los Altos CA: Morgan Kaufinann.

Brachman R. J. and Schmolze J. G. (1985). An overview of the KL-ONE knowledge representation system. Cognitive Science, 9, p. 171-216.

Bratko I. (1990). PROLOG Programming for Artificial Intelligence, 2nd eds. Wokingham, UK: Addison-Wesley. (Русский перевод первого издания: Братко И. Программирование на языке PROLOG для искусственного интеллекта. — М.: Мир, 1990. — 559 с.)

Breuker J. A. and van de Velde W., eds. (1994). The CommonKADS Library for Expertise Modelling. Amsterdam: IOS Press.

Brown D. C. and Chandrasekaran B. (1989). Design Problem Solving: Knowledge Structures and Control Strategies. Los Altos CA: Morgan Kaufmann.

Brown J. S., Burton R. R. and De Kleer J. (1982). Pedagogical, natural language and knowledge engineering techniques in SOPHIE I, II and III. In Intelligent Tutoring Systems (Sleeman D. and Brown J. S., eds.), Chapter 11. London: Academic Press.

Brownston L., Farrell R., Kant F. and Martin N. (1985). Programming Expert Systems in OPS5. Reading MA: Addison-Wesley.

Buchanan B. G. and Feigenbaum E. A. (1978). DENDRAL and META-DENDRAL: their applications dimension. Artificial Intelligence, 11, p. 5-24.

Buchanan B. G. and Shortliffe E. H., eds. (1984). Rule-Based Expert Systems. Reading MA: Addison-Wesley.

Buchanan B. G. and Wilkins D. C., eds. (1993). Readings in Knowledge Acquisition and Learning. Los Altos, CA: Morgan Kaufmann.

Buchanan B. G., Barstow D., Bechtel R., Bennet J., Clancey W., Kulikowski C., Mitchell Т. М. and Waterman D. A. (1983). Constructing an expert system. In Building Expert Systems (Hayes-Roth F, Waterman D.A. and Levat D., eds.), Chapter 5. Reading, MA: Addison-Wesley.

Bundy A. (1978). Will it reach the top? Prediction in the mechanics world. Artificial Intelligence, 10, p. 129-146.

Bundy A., Byrd L., Luger G., Mellish C. and Palmer M. (1979). Solving mechanics problems using metalevel inference. In Expert Systems in the Micro-Electronic Age (Michie D., eds.), p. 50-64. Edinburgh: Edinburgh University Press.

Bundy A., Silver B. and Plummer D. (1985). An analytical comparison of some rule-learning programs. Artificial Intelligence, 27, p. 137-181.

Buntine W. L. (1990). Myths and legends in learning classification rules. In Proc. National Conference on Artificial Intelligence, p. 736-742.

Bylander T. (1994). The computational complexity of prepositional STRIPS planning. Artificial Intelligence, 69, p. 165-204.



Поделиться:


Последнее изменение этой страницы: 2016-04-07; просмотров: 290; Нарушение авторского права страницы; Мы поможем в написании вашей работы!

infopedia.su Все материалы представленные на сайте исключительно с целью ознакомления читателями и не преследуют коммерческих целей или нарушение авторских прав. Обратная связь - 3.142.196.27 (0.009 с.)