The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
Trends in cooperative distributed problem solving
Abstract
The authors present an overview of cooperative distributed problem solving (CDPS), an emerging research area that combines aspects of AI (artificial intelligence) and distributed processing. CDPS can be used to study how a loosely coupled network of sophisticated problem-solving nodes can solve a complex problem which consists of a set of interdependent subproblems. Subproblems arise because of spatial, temporal, and functional distribution of data, knowledge, and processing capabilities. Application areas include distributed interpretation, distributed planning and control, cooperating expert systems, and computer-supported human cooperation. The authors survey the important approaches and empirical investigations that have been developed. The approaches covered include negotiation, functionally accurate cooperation, organizational structuring, multiagent planning, sophisticated local control, and theoretical frameworks.>
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
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
Smith (1980) · IEEE Transactions on Computers · doi:10.1109/tc.1980.1675516 · Cited by 3,716
Shackle, G. L. S., & Simon, H. A. (1959) · The Economic Journal · doi:10.2307/2228083 · Cited by 3,558
McClelland, J. L., Rumelhart, D. E., & AU (1987) · doi:10.7551/mitpress/5237.001.0001 · Cited by 3,315
Galbraith, J. R. (1977) · Cited by 2,180
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
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
Self-citationNegotiation as a metaphor for distributed problem solving
Davis, R., & Smith, R. G. (1983) · Artificial Intelligence · doi:10.1016/0004-3702(83)90015-2 · Cited by 1,230
Viewing control structures as patterns of passing messages
Hewitt, C. (1977) · Artificial Intelligence · doi:10.1016/0004-3702(77)90033-9 · Cited by 1,161
A Structure for Plans and Behavior
Sacerdoti, E. D. (1977) · Defense Technical Information Center (DTIC) · Cited by 1,160
Readings in Distributed Artificial Intelligence
(1988) · Elsevier eBooks · doi:10.1016/c2013-0-07700-6 · Cited by 986
Cited by
Cooperative Multi-Agent Learning: The State of the Art
Panait, L., & Luke, S. (2005) · Autonomous Agents and Multi-Agent Systems · doi:10.1007/s10458-005-2631-2 · Cited by 1,237
Multiagent systems: A survey from a machine learning perspective
Stone, P., & Veloso, M. (2000) · Autonomous Robots · doi:10.1023/a:1008942012299 · Cited by 1,218
Analysis and design of multiagent systems using MAS-CommonKADS
Iglesias, C. A., Garijo, M., González, J. C., & Velasco, J. R. (1998) · Lecture Notes in Computer Science · doi:10.1007/bfb0026768 · Cited by 265
Practical verification of decision-making in agent-based autonomous systems
Dennis, L. A., Fisher, M., Lincoln, N. K., Lisitsa, A., & Veres, S. M. (2016) · Automated Software Engineering · doi:10.1007/s10515-014-0168-9 · Cited by 102
Metadata
- Authors
- Durfee, E. H., Lesser, V. R., & Corkill, D. D.
- Venue
- IEEE Transactions on Knowledge and Data Engineering
- Published
- 1989-03
- Volume
- 1
- Issue
- 1
- Pages
- 63-83
- ISSN
- 1041-4347 (ISSN-L)
- OpenAlex
- W2120811645
- Cited by
- 444
- References
- 58
- FWCI
- 8.97
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Trends in cooperative distributed problem solving. https://app.cochat.ai/papers/10.1109/69.43404
- The paper
- Durfee, E. H., Lesser, V. R., & Corkill, D. D. (1989). Trends in cooperative distributed problem solving. IEEE Transactions on Knowledge and Data Engineering. https://doi.org/10.1109/69.43404
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.
