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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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-citationAn architecture for real-time reasoning and system control
Ingrand, F. F., Georgeff, M. P., & Rao, A. S. (1992) · IEEE Expert · doi:10.1109/64.180407 · Cited by 400
Self-citationHUGHES, G. E., & Cresswell, M. J. (1984) · Medical Entomology and Zoology · Cited by 378
Georgeff, M. P., & Lansky, A. L. (1986) · Proceedings of the IEEE · doi:10.1109/proc.1986.13639 · Cited by 329
THE SYNTHESIS OF DIGITAL MACHINES WITH PROVABLE EPISTEMIC PROPERTIES
Rosenschein, S. J., & Kaelbling, L. P. (1986) · Theoretical Aspects of Reasoning About Knowledge · doi:10.1016/b978-0-934613-04-0.50009-0 · Cited by 282
Commitment and effectiveness of situated agents
Kinny, D., & Georgeff, M. (1991) · Cited by 184
Multiagent Systems: A Theoretical Framework for Intentions, Know-How, and Communications
Singh, M. P. (1994) · Cited by 180
Persistence, Intention, and Commitment
Cohen, P. R., & Levesque, H. J. (1987) · Elsevier eBooks · doi:10.1016/b978-0-934613-30-9.50016-0 · Cited by 161
RATIONALITY AND ITS ROLES IN REASONING
Doyle, J. (1992) · Computational Intelligence · doi:10.1111/j.1467-8640.1992.tb00371.x · Cited by 143
A model-theoretic approach to the verification of situated reasoning systems
Rao, A. S., & Georgeff, M. (1993) · International Joint Conference on Artificial Intelligence · Cited by 134
Self-citationJennings, N. R. (1992) · ePrints Soton (University of Southampton) · Cited by 102
A representationalist theory of intention
Konolige, K., & Pollack, M. E. (1993) · Cited by 95
Asymmetry thesis and side-effect problems in linear-time and branching-time intention logics
Rao, A. S., & Georgeff, M. (1991) · Cited by 89
Self-citationAGENTO: a simple agent language and its interpreter
Shoham, Y. (1991) · National Conference on Artificial Intelligence · Cited by 86
Kinny, D., Sonenberg, E., Ljungberg, M., Tidhar, G. A., Rao, A., & Werner, E. N. (1994) · Cited by 77
Self-citationTowards a formal theory of intentions
Singh, M. P., & Asher, N. M. (1991) · Lecture notes in computer science · doi:10.1007/bfb0018460 · Cited by 27
A decision procedure for a temporal belief logic
Wooldridge, M., & Fisher, M. (2005) · Springer eBooks · doi:10.1007/bfb0013996 · Cited by 27
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.
