Cannon H. I. (1982). FLAVORS: a non-hierarchical approach to object-oriented programming. Unpublished paper.

Carbonell J. G., Michalski R. and Mitchell T. (1983). An overview of machine learning. In Machine Learning (Michalski R. S., Carbonell J. S. and Mitchell Т. М., eds.), Chapter 1. Palo Alto, CA: Tioga.

Carver N. and Lesser V. (1994). The evolution of blackboard control architectures. In Expert Systems with Applications: Special Issue on the Blackboard Paradigm and its Applications, 7(1), p. 1-30.

Cendrowska J. and Bramer M. (1984). Insdie an expert system: A rational reconstruction of the MYCIN consultation system. In Artificial Intelligence: Tools, Techniques and Applications (O'Shea T. and Eisenstadt M., eds.). Chapter 15. New York: Harper and Row.

Chandrasekaran B. (1983). Towards a taxonomy of Problem solving types. Al Magazine, 4(1), Spring, p. 9-17.

Chandrasekaran B. (1984). Expert systems: matching techniques to tasks. In Artificial Intelligence Applications for Business (Reitman W, eds.). Norwood, NJ: Ablex.

Chandrasekaran B. (1986). Generic tasks in knowledge-based reasoning: high-level building blocks for expert systems design. IEEE Expert, 1(3), p. 23-30.

Chandrasekaran B. (1988). Generic tasks as building blocks for knowledge-based systems: the diagnosis and routine design examples. Knowledge Engineering Review, 3(3), p. 183-210.

Chandrasekaran B. and Mittal S. (1984). Deep versus compiled knowledge approaches to diagnostic problem solving. In Developments in Expert Systems (Coombs M. J., eds.), Chapter 2. London; Academic Press.

ChappellD. (1996). Understanding ActiveX and Ole. Microsoft Press.

Charniak E. and McDermott D. (1985). Introduction to Artificial Intelligence. Reading, MA: Addison-Wesley.

Charniak E., Reisbeck C. and McDermott D. (1987). Artificial Intelligence Programming, 2nd ed. Hillsdale, NJ: Lawrence Eribaum.

Cheeseman P. (1985). In defense of Probability. In Proc. 8th InternationalJoint Conference on Artificial Intelligence, p. 1002-1009.

Church A. (1941). The Calculi of Lambda Conversion. Annals of Mathematics Studies, Princeton University Press.

Clancey W. J. (1983). The epistemology of a rule-based expert system: a framework for explanation. Artificial Intelligence, 10, p. 215-251.

Clancey W. J. (1985). Heuristic classification. Artificial Intelligence, 27, p. 289-350.

Clancey W. J. (1987, a). Knowledge-Based Tutoring, The GUIDON Program. Cambridge, MA: MIT Press.

Clancey W. J. (1987, b). Intelligent tutoring systems: a tutorial survey. In van Lamsweerde and Dufour (1987), Chapter 3.

Clancey W. J. (1987, c). From GUIDON to NEOMYCIN and HERACLES in twenty short lessons, In Current Issues in Expert Systems (van Lamsweerde A. and Dufour P., eds., Chapter 4. London: Academic Press.

Clancey W. J. (1993, a). Notes on "Heuristic Classification". Artificial Intelligence, 59, p. 191-196.

Clancey W. J. (1993, b). Notes on "Epistemology of a rule-based expert system". Artificial Intelligence, 59, p. 197-204.

Clancey W. J. and Letsinger R. (1984). NEOMYCIN: reconfiguring a rule-based expert system for application to teaching. In Readings in Medical Artificial Intelligence (Clancey W. J. and Shortliffe E. H., eds.). Chapter 15. Reading, MA: Addison-Wesley.

Clancey W. J. and Shortliffe E. H., eds. (1984). Readings in Medical Artificial Intelligence. Reading, MA: Addison-Wesley.

Clark K. L. and McCabe F. (1982). PROLOG: a language for implementing expert systems. In Machine Intelligence 10 (Hayes J. E., Michie D. and Pao Y. H., eds.). Chichester, UK: Ellis Horwood.

Clark K. L. and Tarnlund S.-A., eds. (1982). Logic Programming, London: Academic Press

Cohen P. and Feigenbaum E. A., eds. (1982). The Handbook of Artificial Intelligence, Vol. 3. Los Altos, CA: Morgan Kaufinann.

Collins A. M. and Quillian M. R. (1969). Retrieval time from semantic memory. Journal of Verbal Learning and Verbal Behavior, 8, p. 240-247.

Coombs M. J., eds. (1984). Developments in Expert Systems. London: Academic Press.

Cooper G. F. (1990). The computational complexity of probabilistic inference using Bavesian belief networks. Artificial Intelligence, 42, p. 393-405.

Corkill D. D. (1991). Blackboard systems. Al Expert, 6(9), p. 40-47. Coyne R, (1988). Logic Models of Design. London: Pitman.

Cox R. (1946). Probability frequency and reasonable expectation. American Journal of Physics, 14(1), p. 1-13.

Craig I. (1995). Blackboard Systems. Norwood, NJ: Ablex.

Davies J. and May R. (1995). The development of a prototype "correctly dressed" case-based reasoner: Efficacy of CBR-Express. In Progress in Case-Based Reasoning (Watson I., eds.). Lecture Notes in Artificial Intelligence, 1020. Berlin: Springer-Verlag.

Davis R. (1980, a). Meta-rules: reasoning about control. Artificial Intelligence, 15, p. 179-222.

Davis R. (1980, b). Applications of meta-level knowledge to the construction, maintenance and use of large knowledge bases. In Knowledge-Based Systems in Artificial Intelligence (Davis R. and Lenat D., eds.) p. 229-490. New York: McGraw-Hill.

Davis R. (1982). Expert systems: Where are we? And where do we go from here? Al Magazine, 3(2).

Davis R. (1984). Diagnostic reasoning based on structure and behavior. Artificial Intelligence,, 24, p. 347-410.

Davis R. (1989). Expert systems: how far can they go? Part Two. Al Magazine, 10(2), Summer 1989, p. 65-77.

Davis R. and King J. (1977). An overview of production systems. In Machine Intelligence 8 (Elcock E. W. and Michie D., eds.), p. 300-332. New York: Wiley.

Davis R. and Lenat D. (1980). Knowledge-Based Systems in Artificial Intelligence. New York: McGraw-Hill.

De Kleer J. (1986). An assumption based TMS. Artificial Intelligence, 28, p. 127-162.

De Kleer J. and Williams В. С. (1987). Diagnosing multiple faults. Artificial Intelligence, 32, p. 97-130.

Dean T. L. and Wellman M. (1991). Planning and Control. Los Altos, CA: Morgan Kaufinann.

Dietterich T. G. and Michalski R. (1983). A comparative review of selected methods for learning 'from examples. In Machine Learning (Michalski R. S., Carbonell J. G. and Mitchell T. M., eds.), Chapter 3. Palo Alto, CA: Tioga.

Doyle J. (1979). A truth maintenance system. Artificial Intelligence, 12, p. 231-272.

Dubois D., Prade H. and Yager R. R., eds. (1996). Fuzzy Information Engineering: A Guided Tour of Applications. New York: Wiley.

Elcock E. W. and Michie D., eds. (1977). Machine Intelligence 8. New York: Wiley.

Englemore R. and Morgan Т., eds. (1988). Blackboard Systems. Reading, MA: Addison-Wesley.

Eriksson H., Shahar Т., Tu S. W., Puerta A. R. and Musen M. A. (1995). Task Modeling with reusable problem-solving methods. Artificial Intelligence, 79 (2), p. 293-326.

Erman L., Hayes-Roth R., Lesser V. and Reddy D. (1980). The HEARSAY-II speech understanding system: integrating knowledge to resolve uncertainty. Computing Surveys, 12(2), p. 213-253.

Erman L. D., London P. E. and Fickas S. F. (1983). The design and an example use of HEARSAY-III, InProc. National Conference on Artificial Intelligence, p. 409^415.

Eshelman L. (1988). A knowledge acquisition tool for cover-and-differentiate systems. In Automating Knowledge Acquisition for Expert Systems (Marcus S., eds.), Chapter 3. Boston: Kluiver Academic.

Eshelman L. and McDermott J. (1986). MOLE: a knowledge acquisition tool that uses its head. In Proc. National Conference on Artificial Intelligence, p. 950-955.

Eshelman L., Ehret D., McDermott J. and Tan M. (1987). MOLE: a tenacious knowledge acquisition tool. InternationalJournal of Man-Machine Studies, 26, p. 41-54.

Feigenbaum E. A. (1977). The art of artificial intelligence: themes and case studies of knowledge engineering. In Proc. 5th International Joint Conference on Artificial Intelligence, p. 1014-1029.

Feigenbaum E.A. and Buchanan B.G. (1993). DENDRAL and Meta-DENDRAL: roots of knowledge systems and expert systems applications. Artificial Intelligence, 59, p. 233-240.

Feigenbaum E. A. and Feldman J., eds. (1963). Computers and Thought. New York: McGraw-Hill.

Feigenbaum E. A., McCorduck P. and Nii H. P. (1988). The Rise of the Expert Company. Times Books.

Feiner S. K. and McKeown K. R. (1991). Automating the generation of coordinated multimedia explanations. In Intelligent Multi-Media Interfaces (Maybury M., eds.), Chapter 5. AAAI Press/MIT Press.

Fikes R. E. and Nilsson N. J. (1971). STRIPS: a new approach to the application of theorem proving to problem solving. Artificial Intelligence, 2, p. 189-208. (Русский перевод: Файкс Р., Нильсон Н. Система STRIPS — новый подход к применению методов доказательства теорем при решении задач.— В сб. Интегральные роботы, вып. 1. Под. ред. Г. Е. Поздняка. — с. 382^103.)

Findler N. V., eds. (1979). Associative Networks. New York: Academic Press.

Forbus K. and de Kleer J. (1993). Building Problem Solvers. Cambridge, MA: MIT Press.