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Non-monotonic logic I
Open accessAbstract
Abstract ‘Non-monotonic’ logical systems are logics in which the introduction of new axioms can invalidate old theorems. Such logics are very important in modeling the beliefs of active processes which, acting in the presence of incomplete information, must make and subsequently revise assumptions in light of new observations. We present the motivation and history of such logics. We develop model and proof theories, a proof procedure, and applications for one non-monotonic logic. In particular, we prove the completeness of the non-monotonic predicate calculus and the decidability of the non-monotonic sentential calculus. We also discuss characteristic properties of this logic and its relationship to stronger logics, logics of incomplete information, and truth maintenance systems.
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STRIPS: A New Approach to the Application of Theorem Proving to Problem Solving
Fikes, R. E., & Nilsson, N. J. (1971) · Artificial Intelligence · doi:10.1016/0004-3702(71)90010-5 · Cited by 4,882
Cited by
(1988) · Cited by 16,582
Circumscription—A form of non-monotonic reasoning
McCarthy, J. (1980) · Artificial Intelligence · doi:10.1016/0004-3702(80)90011-9 · Cited by 2,017
Doyle, J. (1979) · Artificial Intelligence · doi:10.1016/0004-3702(79)90008-0 · Cited by 1,132
Self-citationGenerality in artificial intelligence
McCarthy, J. (1987) · Communications of the ACM · doi:10.1145/33447.33448 · Cited by 391
Tracing the evolution of AI in the past decade and forecasting the emerging trends
Shao, Z., Zhao, R., Yuan, S., Ding, M., & Wang, Y. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2022.118221 · Cited by 153
Metadata
- Authors
- McDermott, D., & Doyle, J.
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 1980-04
- Volume
- 13
- Issue
- 1-2
- Pages
- 41-72
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W1996347293
- Cited by
- 904
- References
- 1
- FWCI
- 25.14
- Type
- journal article
- Language
- en
- Open access
- green
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- McDermott, D., & Doyle, J. (1980). Non-monotonic logic I. Artificial Intelligence. https://doi.org/10.1016/0004-3702(80)90012-0
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