The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Decision procedures for BDI logics
Abstract
The study of computational agents capable of rational behaviour has received increasing attention in recent years. A number of theoretical formalizations for such multi-agent systems have been proposed. However, most of these formalizations do not have a strong semantic basis nor a sound and complete axiomatization. Hence, it has not been clear as to how these formalizations could assist in building agents in practice. This paper explores a particular type of multi-agent system, in which each agent is viewed as having the three mental attitudes of belief (B), desire (D), and intention (I). It provides a family of multi-modal branching-time BDI logics with a possible-worlds semantics, categorizes them, provides sound and complete axiomatizations, and gives constructive tableau-based decision procedures for testing the satisfiability and validity of formulas. The computational complexity of these decision procedures is no greater than the complexity of their underlying temporal logic component.
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Cites
EMERSON, E. A. (1990) · Formal Models and Semantics · doi:10.1016/b978-0-444-88074-1.50021-4 · Cited by 2,585
Intention is choice with commitment
Cohen, P. R., & Levesque, H. J. (1990) · Artificial Intelligence · doi:10.1016/0004-3702(90)90055-5 · Cited by 1,860
Modeling rational agents with a BDI-architecture
Rao, A. S., & Georgeff, M. (1997) · Principles of Knowledge Representation and Reasoning · Cited by 1,596
Self-citationAgent theories, architectures, and languages: A survey
Wooldridge, M., & Jennings, N. R. (1995) · Lecture Notes in Computer Science · doi:10.1007/3-540-58855-8_1 · Cited by 1,363
Semantical Analysis of Modal Logic I Normal Modal Propositional Calculi
Kripke, S. A. (1963) · Mathematical Logic Quarterly · doi:10.1002/malq.19630090502 · Cited by 1,287
AgentSpeak(L): BDI agents speak out in a logical computable language
Rao, A. S. (1996) · Lecture Notes in Computer Science · doi:10.1007/bfb0031845 · Cited by 1,281
Self-citationPlans and resource‐bounded practical reasoning
Bratman, M. E., Israel, D. J., & Pollack, M. E. (1988) · Computational Intelligence · doi:10.1111/j.1467-8640.1988.tb00284.x · Cited by 1,136
Knowledge and common knowledge in a distributed environment
Halpern, J. Y., & Moses, Y. (1990) · Journal of the ACM · doi:10.1145/79147.79161 · Cited by 955
A guide to completeness and complexity for modal logics of knowledge and belief
Halpern, J. Y., & Moses, Y. (1992) · Artificial Intelligence · doi:10.1016/0004-3702(92)90049-4 · Cited by 845
An Abstract Architecture for Rational Agents.
Rao, A. S., & Georgeff, M. (1992) · Principles of Knowledge Representation and Reasoning · Cited by 491
Self-citation
Cited by
Multiagent systems: algorithmic, game-theoretic, and logical foundations
(2009) · Choice Reviews Online · doi:10.5860/choice.46-5662 · Cited by 1,756
Occupant behavior modeling for building performance simulation: Current state and future challenges
Yan, D., O’Brien, W., Hong, T., Feng, X., Burak Gunay, H., Tahmasebi, F., & Mahdavi, A. (2015) · Energy and Buildings · doi:10.1016/j.enbuild.2015.08.032 · Cited by 894
Agent-based simulation of affordance-based human behaviors in emergency evacuation
Joo, J., Kim, N., Wysk, R. A., Rothrock, L., Son, Y.-J., Oh, Y.-G., & Lee, S. (2013) · Simulation Modelling Practice and Theory · doi:10.1016/j.simpat.2012.12.007 · Cited by 157
Metadata
- Authors
- Rao, A.
- Venue
- Journal of Logic and Computation
- Publisher
- Oxford University Press (OUP)
- Published
- 1998-06-01
- Volume
- 8
- Issue
- 3
- Pages
- 293-342
- ISSN
- 0955-792X (ISSN-L)
- 1465-363X
- OpenAlex
- W2103739844
- Cited by
- 340
- References
- 26
- FWCI
- 6.56
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
