The DOI matches its Crossref record; 55 of the 55 references it cites were found in a registry or an index.
A truth maintenance system
Abstract
Abstract To choose their actions, reasoning programs must be able to make assumptions and subsequently revise their beliefs when discoveries contradict these assumptions. The Truth Maintenance System (TMS) is a problem solver subsystem for performing these functions by recording and maintaining the reasons for program beliefs. Such recorded reasons are useful in constructing explanations of program actions and in guiding the course of action of a problem solver. This paper describes (1) the representations and structure of the tms , (2) the mechanisms used to revise the current set of beliefs, (3) how dependency-directed backtracking changes the current set of assumptions, (4) techniques for summarizing explanations of beliefs, (5) how to organize problem solvers into “dialectically arguing” modules, (6) how to revise models of the belief systems of others, and (7) methods for embedding control structures in patterns of assumptions. We stress the need of problem solvers to choose between alternative systems of beliefs, and outline a mechanism by which a problem solver can employ rules guiding choices of what to believe, what to want, and what to do.
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Cites
A FRAMEWORK FOR REPRESENTING KNOWLEDGE
Minsky, M. (1988) · Readings in Cognitive Science · doi:10.1016/b978-1-4832-1446-7.50018-2 · Cited by 4,536
van Orman Quine, W. (1976) · Can Theories be Refuted? · doi:10.1007/978-94-010-1863-0_2 · Cited by 2,709
Fuzzy logic and approximate reasoning: In memory of Grigore Moisil
Zadeh, L. A. (1975) · Synthese · doi:10.1007/bf00485052 · Cited by 1,617
Hintikka, J. (1962) · Cited by 1,536
McDermott, D., & Doyle, J. (1980) · Artificial Intelligence · doi:10.1016/0004-3702(80)90012-0 · Cited by 904
Self-citationComputer Models of Thought and Language
Huesmann, L. R., Schank, R. C., & Colby, K. M. (1974) · The American Journal of Psychology · doi:10.2307/1421990 · Cited by 713
Stallman, R. M., & Sussman, G. J. (1977) · Artificial Intelligence · doi:10.1016/0004-3702(77)90029-7 · Cited by 712
Quine, W. V. O., & Ullian, J. S. (1970) · Medical Entomology and Zoology · Cited by 636
List processing in real time on a serial computer
Baker, H. G. (1978) · Communications of the ACM · doi:10.1145/359460.359470 · Cited by 592
A Framework for Representing Knowledge
Minsky, M. (1997) · The MIT Press eBooks · doi:10.7551/mitpress/4626.003.0005 · Cited by 536
Research works printed but not linked: 7
- Cox, 1977, Deduction plans: A graphical proof procedure for the first-order predicate calculus, Department of Computer Science, University of Waterloo, Research Report CS-77-28
- De Kleer, 1976, Local methods for localization of failures in electronic circuits, MIT AI Lab, Memo 394
- De Kleer, 1977, MIT AI Lab, Memo 427
- Doyle, 1978, Reflexive interpreters, MIT Department of Electrical Engineering and Computer Science, Ph.D. proposal
- Latombe, 1977, Une application de l'intelligence artificielle a la conception assistée par ordinateur (tropic), Université Scientifique et Médicale de Grenôble, Thesis D.Sc. Mathematiques
- Stansfield, 1978, Integrating truth maintenance systems with propagation of strength of belief as a means of addressing the fusion problem, MIT AI Lab., draft proposal
- Steele, 1978, Constraints, MIT AI Lab., Memo 502
Cited by
(1988) · Cited by 16,582
Maintaining knowledge about temporal intervals
Allen, J. F. (1983) · Communications of the ACM · doi:10.1145/182.358434 · Cited by 7,593
Ginsberg, M. L. (1986) · Artificial Intelligence · doi:10.1016/0004-3702(86)90067-6 · Cited by 218
Generalized subsumption and its applications to induction and redundancy
Buntine, W. (1988) · Artificial Intelligence · doi:10.1016/0004-3702(88)90001-x · Cited by 168
Nobel Turing Challenge: creating the engine for scientific discovery
Kitano, H. (2021) · npj Systems Biology and Applications · doi:10.1038/s41540-021-00189-3 · Cited by 149
Metadata
- Authors
- Doyle, J.
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 1979-11
- Volume
- 12
- Issue
- 3
- Pages
- 231-272
- ISSN
- 0004-3702
- Cited by
- 1,132
- References
- 55
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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