Abstract
A Knowledge Representation System is a package of software tools supporting the construction of problem solving systems. After a general introduction to the problems and methodologies of knowledge representation, several design requirements for knowledge representation systems are elaborated.
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References
Amarel, S. (1968) On Representation of Problems of Reasoning about Actions. Machine Intelligence 3, pp. 131–171.
Davis, R. (1982) Expert Systems: Where are we ? And where do we go from here?, in, A.I. Memo No. 665, Massachusetts Institute of Technology, Artificial Intelligence Laboratory, June 1982.
Forgy (1981) The OPS-5 Manual. Carnegie-Mellon University.
Goldstein, I and Papert, S. (1977) Artificial Intelligence, Language and the Study of Knowledge. Cognitive Science, Vol 1, No 1, 1977.
Greiner, R. (1980) RLL-1: A Representation Language Language. HPP-80–9, Standford Heuristic Programming Project, Standford University.
Hayes, P. (1979) The Logic of Frames., in, Frame Conceptions and Text Understanding. Ed. Metzing, D. Walter de Gruyter and Co., Berlin, pp. 46–61.
Hewitt, C. (1975) How to use what you know., in, IJCAI-1984, Tblisi, Georgia, pp.189–198.
Hillis, D. (1981). The Connection Machine (Computer Architecture for the New Wave). A.I. Memo No 646, Massachusetts Institute of Technology, Artificial Intelligence Loaboratory, Sept 1981.
Kowalski, R. (1974). Predicate Logic as a Programming Language. Proc. IFIP Congress, Stockholm, North Holland Ed.
Lenat, D. and Brown, J. (1984) Why AM and EUrisko appear to work., in, Artificial Intelligence Vol. 23, No 3, North Holland Amsterdam.
Minsky, M. (1974) A Framework for Representing Knowledge., in, Winston (Ed.) The Psychology of Computer Vision. Addison-Wesley Publishing Company, London.
Newell, A. and Simon, H. (1972) Human Problem Solving. Englewood Cliffs, N.J. Prentice-Hall.
Nilsson, N. (1980) Principles of Artificial Intelligence. Tioga Publishing Company, Palo Alto California.
Pearl, J. (1984) Heuristics. Addison-Wesley Publishing Company, London.
Roberts, B and Goldstein, I (1977) The FRL Primer A.I. Memo No 408, Massachusetts Institute of Technology, Artificial Intelligence Laboratory.
Schank, R (1982) Dynamic Memory. Cambridge University Press, Cambridge.
Steels, L (1984) The Knowledge Representation System KRS. V.U.B., AI-Lab Memo, in preparation.
Sussman, J (1975) A Computer Model of Skill Acquisition New York: American Elsevier.
Van Melle, W (1980) A Domain-Independant System for Constructing Consultation Systems. Ph.D. Thesis, Standford University.
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© 1985 Springer-Verlag Berlin Heidelberg
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Steels, L. (1985). Design Requirements for Knowledge Representation Systems. In: Laubsch, J. (eds) GWAI-84. Informatik Fachberichte, vol 103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-46546-8_1
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DOI: https://doi.org/10.1007/978-3-642-46546-8_1
Publisher Name: Springer, Berlin, Heidelberg
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