The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Decision theory in expert systems and artificial intelligence
Open accessAbstract
Despite their different perspectives, artificial intelligence (AI) and the disciplines of decision science have common roots and strive for similar goals. This paper surveys the potential for addressing problems in representation, inference, knowledge engineering, and explanation within the decision-theoretic framework. Recent analyses of the restrictions of several traditional AI reasoning techniques, coupled with the development of more tractable and expressive decision-theoretic representation and inference strategies, have stimulated renewed interest in decision theory and decision analysis. We describe early experience with simple probabilistic schemes for automated reasoning, review the dominant expert-system paradigm, and survey some recent research at the crossroads of AI and decision science. In particular, we present the belief network and influence diagram representations. Finally, we discuss issues that have not been studied in detail within the expert-systems setting, yet are crucial for developing theoretical methods and computational architectures for automated reasoners.
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Cites
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
Erman, L. D., Hayes-Roth, F., Lesser, V. R., & Reddy, D. R. (1980) · ACM Computing Surveys · doi:10.1145/356810.356816 · Cited by 1,357
Good, I. J. (1952) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1952.tb00104.x · Cited by 976
Cited by
Explaining collaborative filtering recommendations
Herlocker, J. L., Konstan, J. A., & Riedl, J. (2000) · Proceedings of the 2000 ACM conference on Computer supported cooperative work · doi:10.1145/358916.358995 · Cited by 1,731
Principles of mixed-initiative user interfaces
Horvitz, E. (1999) · Proceedings of the SIGCHI conference on Human factors in computing systems the CHI is the limit - CHI '99 · doi:10.1145/302979.303030 · Cited by 1,490
Self-citationOn big data, artificial intelligence and smart cities
Allam, Z., & Dhunny, Z. A. (2019) · Cities · doi:10.1016/j.cities.2019.01.032 · Cited by 1,178
Artificial Intelligence: A New Synthesis
(1998) · Elsevier eBooks · doi:10.1016/c2009-0-27773-7 · Cited by 1,163
Ali, O., Abdelbaki, W., Shrestha, A., Elbasi, E., Alryalat, M. A. A., & Dwivedi, Y. K. (2023) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2023.100333 · Cited by 568
Metadata
- Authors
- Horvitz, E. J., Breese, J. S., & Henrion, M.
- Venue
- International Journal of Approximate Reasoning
- Publisher
- Elsevier BV
- Published
- 1988-07
- Volume
- 2
- Issue
- 3
- Pages
- 247-302
- ISSN
- 0888-613X (ISSN-L)
- OpenAlex
- W1967361629
- Cited by
- 362
- References
- 2
- FWCI
- 19.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Horvitz, E. J., Breese, J. S., & Henrion, M. (1988). Decision theory in expert systems and artificial intelligence. International Journal of Approximate Reasoning. https://doi.org/10.1016/0888-613x(88)90120-x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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