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Volumn 10, Issue 3, 1998, Pages 333-356

Individual learning of coordination knowledge

Author keywords

Multiple agents; Reinforcementlearning; Repeated problem solving experience

Indexed keywords


EID: 0032359707     PISSN: 0952813X     EISSN: 13623079     Source Type: Journal    
DOI: 10.1080/095281398146798     Document Type: Article
Times cited : (38)

References (58)
  • 3
    • 0001570452 scopus 로고
    • Classifier systems that learn internal world models
    • Booker, L. B., 1988, Classifier systems that learn internal world models. Machine Learning, 3: 161-192.
    • (1988) Machine Learning , vol.3 , pp. 161-192
    • Booker, L.B.1
  • 8
    • 0018643589 scopus 로고
    • Elements of a plan-based theory of speech acts
    • Cohen, P. R. and Perrault, C. R., 1979, Elements of a plan-based theory of speech acts. Cognitive Science, 3(3): 177-212.
    • (1979) Cognitive Science , vol.3 , Issue.3 , pp. 177-212
    • Cohen, P.R.1    Perrault, C.R.2
  • 9
    • 0002503336 scopus 로고
    • Multistage negotiation in distributed planning
    • A. H. Bond and L. Gasser, Los Alamos CA: Morgan Kaufman
    • Conry, S. E., Meyer, R. A. and Lesser, V. R., 1988, Multistage negotiation in distributed planning. In A. H. Bond and L. Gasser (eds) Readings in Distributed Artificial Intelligence (Los Alamos CA: Morgan Kaufman), pp. 367-384.
    • (1988) Readings in Distributed Artificial Intelligence , pp. 367-384
    • Conry, S.E.1    Meyer, R.A.2    Lesser, V.R.3
  • 11
    • 0026225005 scopus 로고
    • Partial global planning: A coordination framework for distributed hypothesis formation. IEEE Transactions on Systems
    • (Special Issue on Distributed Sensor Networks) 1167-1 183
    • Durfee, E. H. and Lesser, V. R., 1991, Partial global planning: a coordination framework for distributed hypothesis formation. IEEE Transactions on Systems, Man and Cybernetics, 21(5) (Special Issue on Distributed Sensor Networks) 1167-1 183.
    • (1991) Man and Cybernetics , vol.21 , Issue.5
    • Durfee, E.H.1    Lesser, V.R.2
  • 12
    • 0023453236 scopus 로고
    • Coherent cooperation among communicating problem solvers.
    • Durfee, E. H., Lesser, V. R. and Corkill, D. D., 1987, Coherent cooperation among communicating problem solvers. IEEE Transactions on Computers, 36(11): 1275-1291.
    • (1987) IEEE Transactions on Computers , vol.36 , Issue.11 , pp. 1275-1291
    • Durfee, E.H.1    Lesser, V.R.2    Corkill, D.D.3
  • 20
    • 0000146518 scopus 로고
    • Credit assignment in rule discovery systems
    • Grefenstette, J., 1988, Credit assignment in rule discovery systems. Machine Learning, 3(2/3): 225-246.
    • (1988) Machine Learning , vol.3 , Issue.2-3 , pp. 225-246
    • Grefenstette, J.1
  • 22
    • 0025460546 scopus 로고
    • Knowledge and common knowled ge in a distributed environment
    • A preliminary version appeared in Proceedings of the 3rd ACM Symposium on Principles of Distributed Computing, 1984
    • Halpern, J. and M oses, Y., 1990, Knowledge and common knowled ge in a distributed environment. Journal of the ACM, 37(3): 549-587. A preliminary version appeared in Proceedings of the 3rd ACM Symposium on Principles of Distributed Computing, 1984.
    • (1990) Journal of the ACM , vol.37 , Issue.3 , pp. 549-587
    • Halpern, J.1    Moses, Y.2
  • 23
    • 0031650926 scopus 로고    scopus 로고
    • Learning cases to compliment rules for conflict resolution in multi-agent systems
    • Haynes, T. and Sen, S., 1998, Learning cases to compliment rules for conflict resolution in multi-agent systems. International Journal of Human-Computer Studies 48(1).
    • (1998) International Journal of Human-Computer Studies , vol.48 , Issue.1
    • Haynes, T.1    Sen, S.2
  • 25
    • 0000746883 scopus 로고
    • Escaping brittleness: The possibilities of general-purpose learning algorithms applied to parallel rule-based systems
    • R. S. Michalski, J. G. Carbonell and T. M. Mitchell(eds) , (Los Alamos, CA: Morgan Kaufmann
    • Holland, J. H., 1986, Escaping brittleness: the possibilities of general-purpose learning algorithms applied to parallel rule-based systems. In R. S. Michalski, J. G. Carbonell and T. M. Mitchell (eds) Machine Learning, an Artificial Intelligence Approach, Vol. 2 (Los Alamos, CA: Morgan Kaufmann).
    • (1986) Machine Learning, an Artificial Intelligence Approach , vol.2
    • Holland, J.H.1
  • 28
    • 26444479778 scopus 로고
    • Optimization by simulated reannealing
    • Kirkpatrick, S., Gelatt, C. D. and Vecchi, M. P., 1983, Optimization by simulated reannealing. Science, 220: 671-680.
    • (1983) Science , vol.220 , pp. 671-680
    • Kirkpatrick, S.1    Gelatt, C.D.2    Vecchi, M.P.3
  • 29
    • 84976752794 scopus 로고
    • Multiagent systems: An emerging subdiscipline of AI
    • Lesser, V. R., 1995, Multiagent systems: an emerging subdiscipline of AI. ACM Computing Surveys, 27(3): 340-342.
    • (1995) ACM Computing Surveys , vol.27 , Issue.3 , pp. 340-342
    • Lesser, V.R.1
  • 30
    • 85149834820 scopus 로고
    • Markov games as a framework formulti-agent reinforcement learning
    • Amherst, MA (San Mateo, CA: Morgan Kaufmann
    • Littman, M. L., 1994, Markov games as a framework formulti-agent reinforcement learning. In Proceedings of the Eleventh International Conference on Machine Learning, Amherst, MA (San Mateo, CA: Morgan Kaufmann) pp. 157-163.
    • (1994) Proceedings of the Eleventh International Conference on Machine Learning , pp. 157-163
    • Littman, M.L.1
  • 31
    • 0542446323 scopus 로고
    • To discount or not to discount in reinforcement learning: A case study comparing R learning and Q learning
    • Mahadevan, S., 1993, To discount or not to discount in reinforcement learning: a case study comparing R learning and Q learning. In Proceedings of the Tenth International Conference on Machine Learning, pp. 205-211.
    • (1993) In Proceedings of the Tenth International Conference on Machine Learning , pp. 205-211
    • Mahadevan, S.1
  • 32
    • 0023439933 scopus 로고
    • Modelling coordination in organizations and markets
    • Malone, T. W., 1987, Modelling coordination in organizations and markets. Management Science, 33(10): 1317-1332.
    • (1987) Management Science , vol.33 , Issue.10 , pp. 1317-1332
    • Malone, T.W.1
  • 36
    • 0142133506 scopus 로고
    • Adaptive action selection for cooperative robot teams
    • J. Meyer, H. Roitblat and S. Wilson, Cambridge, MA: MIT Press
    • Parker, L. E., 1992, Adaptive action selection for cooperative robot teams. In J. Meyer, H. Roitblat and S. Wilson (eds) Proceedings of the Second International Conference on Simulation of Adaptive Behavior (Cambridge, MA: MIT Press), pp. 442-450.
    • (1992) Proceedings of the Second International Conference on Simulation of Adaptive Behavior , pp. 442-450
    • Parker, L.E.1
  • 44
    • 0038850432 scopus 로고    scopus 로고
    • IJCAI-95 workshop on adaptation and learning in multiagent systems
    • Sen, S., 1996, IJCAI-95 workshop on adaptation and learning in multiagent systems. AI Magazine, 17(1): 87-89.
    • (1996) AI Magazine , vol.17 , Issue.1 , pp. 87-89
    • Sen, S.1
  • 45
    • 0028555752 scopus 로고
    • Learning to coordinate without sharing information
    • Seattle, WA (Menlo Park, CA: AAAI Press
    • Sen, S., Sekaran, M. and Hale, J., 1994, Learning to coordinate without sharing information. In National Conference on Artificial Intelligence, Seattle, WA (Menlo Park, CA: AAAI Press), pp. 426-431.
    • (1994) National Conference on Artificial Intelligence , pp. 426-431
    • Sen, S.1    Sekaran, M.2    Hale, J.3
  • 46
    • 0026980835 scopus 로고
    • On the synthesis of useful social laws for artificial agent societies (Preliminary report).
    • San Jose, California
    • Shoham, Y. and Tennenholtz, M., 1992, On the synthesis of useful social laws for artificial agent societies (preliminary report). In Proceedings of the National Conference on Artificial Intelligence, San Jose, California, pp. 276-281.
    • (1992) Proceedings of the National Conference on Artificial Intelligence , pp. 276-281
    • Shoham, Y.1    Tennenholtz, M.2
  • 47
    • 0040885404 scopus 로고
    • Adaptation based on cooperative learning in multi-agent systems
    • Y. Demazeau and J.-P. MOller (eds), (Elsevier Science Publications)
    • Sian, S., 1991, Adaptation based on cooperative learning in multi-agent systems. In Y. Demazeau and J.-P. MOller (eds) Decentralized AI, Vol. 2 (Elsevier Science Publications), pp. 257-272.
    • (1991) Decentralized AI , vol.2 , pp. 257-272
    • Sian, S.1
  • 48
    • 0019180974 scopus 로고
    • The contract net protocol: High-level communication and control in a distributed problem solver.
    • Smith, R. G., 1980, The contract net protocol: High-level communication and control in a distributed problem solver. IEEE Transactions on Computers, 29(12): 1104-1113.
    • (1980) IEEE Transactions on Computers , vol.29 , Issue.12 , pp. 1104-1113
    • Smith, R.G.1
  • 55
    • 0002474066 scopus 로고
    • Cooperating agents: A unified theory of communication and social structure.
    • L. Gasser and M. N. Huhns (eds), (Pitman)
    • Werner, E., 1989, Cooperating agents: a unified theory of communication and social structure. In L. Gasser and M. N. Huhns (eds) Distributed Artificial Intelligence, Research Notes in Artificial Intelligence, Vol. 2 (Pitman), pp. 3-36.
    • (1989) Research Notes in Artificial Intelligence , vol.2 , pp. 3-36
    • Werner, E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.