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Volumn 2, Issue , 2003, Pages 678-685

Minimizing Communication Cost in a Distributed Bayesian Network Using a Decentralized MDP

Author keywords

Action selection; Bayesian Networks; Coordination of multiple agents; Decentralized MDPs; Decision theoretic planning

Indexed keywords

ALGORITHMS; COMMUNICATION; COMPUTATIONAL COMPLEXITY; COMPUTER NETWORKS; DECENTRALIZED CONTROL; DISTRIBUTED COMPUTER SYSTEMS; PROBLEM SOLVING; SOFTWARE AGENTS;

EID: 1242265508     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/860680.860684     Document Type: Conference Paper
Times cited : (31)

References (11)
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    • Domain monotonicity and the performance of local solutions strategies for CDPS-based distributed sensor interpretation and distributed diagnosis
    • N. Carver and V. Lesser. Domain monotonicity and the performance of local solutions strategies for CDPS-based distributed sensor interpretation and distributed diagnosis. International Journal of Autonomous Agents and Multi-Agent Systems, 6:35-76., 2003.
    • (2003) International Journal of Autonomous Agents and Multi-agent Systems , vol.6 , pp. 35-76
    • Carver, N.1    Lesser, V.2
  • 7
    • 85138579181 scopus 로고
    • Learning policies for partially observable environments: Scaling up
    • A. Prieditis and S. Russell, editors, San Francisco, CA. Morgan Kaufmann
    • M. Littman, A. Cassandra, and L. Kaelbling. Learning policies for partially observable environments: Scaling up. In A. Prieditis and S. Russell, editors. Proceedings of the Twelfth International Conference on Machine Learning, pages 362-370, San Francisco, CA, 1995. Morgan Kaufmann.
    • (1995) Proceedings of the Twelfth International Conference on Machine Learning , pp. 362-370
    • Littman, M.1    Cassandra, A.2    Kaelbling, L.3
  • 8
    • 1142292938 scopus 로고    scopus 로고
    • The communicative multiagent team decision problem: Analyzing teamwork theories and models
    • D. Pynadath and M. Tambe. The communicative multiagent team decision problem: Analyzing teamwork theories and models. Journal of AI Research (JAIR), 2002.
    • (2002) Journal of AI Research (JAIR)
    • Pynadath, D.1    Tambe, M.2
  • 9
    • 1242298429 scopus 로고    scopus 로고
    • Controlling information exchange in distributed bayesian networks
    • University of Massachusetts
    • J. Shen, V. Lesser, and N. Carver. Controlling information exchange in distributed bayesian networks. Technical Report 02-22, University of Massachusetts, 2002.
    • (2002) Technical Report 02-22
    • Shen, J.1    Lesser, V.2    Carver, N.3
  • 10
    • 0030284198 scopus 로고    scopus 로고
    • A probabilistic framework for multi-agent distributed interpretation and optimization of communication
    • Y. Xiang. A probabilistic framework for multi-agent distributed interpretation and optimization of communication. Artificial Intelligence, 87(1-2):295-342, 1996.
    • (1996) Artificial Intelligence , vol.87 , Issue.1-2 , pp. 295-342
    • Xiang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.