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Temporal logics in AI: Semantical and ontological considerations
Open accessAbstract
One way to represent temporal information in a logical formalism is by associating “proposition types” with time points or time intervals. The way this is usually done in AI is by “reifying” propositions, so that what otherwise would have been formulas actually appear as arguments to some “predicate,” say TRUE, as in TRUE(t1, t2, COLOR(HOUSE, RED)). This way time is referred to explicitly, while retaining its special notational and conceptual status. We examine this method by looking closely at two of the more influential formalisms featuring reified propositions, those of Allen and McDermott. We show that these do not have completely clear semantics, and that they make some unfortunate and unnecessary ontological commitments. Finally, we present a new formalism and demonstrate that it does not suffer from these disadvantages.
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Cited by
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Gruber, T. R. (1995) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1995.1081 · Cited by 7,753
Artificial Intelligence: A New Synthesis
(1998) · Elsevier eBooks · doi:10.1016/c2009-0-27773-7 · Cited by 1,163
A Framework for Knowledge-Based Temporal Abstraction
Shahar, Y. (1997) · Artificial Intelligence · doi:10.1016/s0004-3702(96)00025-2 · Cited by 461
EON: A Component-Based Approach to Automation of Protocol-Directed Therapy
Musen, M. A., Tu, S. W., Das, A. K., & Shahar, Y. (1996) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.1996.97084511 · Cited by 346
Time and time again: The many ways to represent time
Allen, J. F. (1991) · International Journal of Intelligent Systems · doi:10.1002/int.4550060403 · Cited by 269
Metadata
- Authors
- Shoham, Y.
- Venue
- Artificial Intelligence
- Publisher
- Elsevier BV
- Published
- 1987-09
- Volume
- 33
- Issue
- 1
- Pages
- 89-104
- ISSN
- 0004-3702 (ISSN-L)
- OpenAlex
- W2005678616
- Cited by
- 264
- References
- 0
- FWCI
- 11.60
- Type
- journal article
- Language
- en
- Open access
- hybrid
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