Learning to Improve Coordinated Actions in Cooperative Distributed Problem-Solving Environments (original) (raw)
References
Bazzan, A.L.C., Lesser, V.R., & Xuan, P. (1998). Adapting an organizational design through domain-independent diagnosis. (Computer Science Technical Report 98–14). Amherst: University of Massachusetts. Google Scholar
Case, J., Fedor, M., Schoffstall, M., & Davin, J. (1990). A simple network management protocol (SNMP). RFC1157.
Chandy, K.M., & Lamport, L. (1985). Distributed snapshots: Determining global states of distributed systems. ACM Trans. of Computer Systems, 3(1), 63–75. Google Scholar
Corkill, D.D. & Lesser, V.R. (1983). The use of meta-level control forcoordination in a distributed problem solving network (long paper). Proceedings of the Eighth International Joint Conference on Artificial Intelligence (pp. 748–756). Karlsruhe, FRG. (Also published in (1986) Benjamin W. Wah & G.-J. Li (Eds.), Computer architectures for artificial intelligence applications. IEEE Computer Society Press.)
Decker, K., & Lesser, V.R.(1993). Quantitative modeling of complex environments. International Journal of Intelligent Systems in Accounting, Finance and Management, special issue on Mathematical and Computational Models of Organizations: Models and Characteristics of Agent Behavior, 2, 215–234. Google Scholar
Decker, K.S., & Lesser, V.R. (1995). Designing a family of coordination algorithms.Proceedings of the First International Conference on Multi-Agent Systems. San Francisco: AAAI Press. Google Scholar
DeJong, G.(1981). Generalizations based on explanations. Proceedings of Seventh International Joint Conference on Artificial Intelligence (pp. 67–69).
Durfee, E.H., & Lesser, V.R. (1991). Partial global planning: A coordination framework fordistributed hypothesis formation. IEEE Transactions on Systems, Man, and Cybernetics, 21(5), 1167–1183. Google Scholar
Durfee, E.H., Lesser, V.R., & Corkill, D.D. (1987). Coherent cooperation among communicating problem solvers. IEEETransactions on Computers, 36(11), 1275–1291. (Also published in (1988) A. Bond & L. Gasser (Eds.), Readings in distributed artificial intelligence. CA: Morgan Kaufmann Publishers.) Google Scholar
Grefenstette, J. (1992). The evolutionof strategies for multi-agent environments. Adaptive Behavior, 1(1), 65–89. Google Scholar
Hammond, K.J. (1989). Casebasedplanning: Viewing planning as a memory task. Academic Press.
Hudlickà, E., & Lesser, V.R. (1984). Meta-levelcontrol through fault detection and diagnosis. Proceedings of the 1984 National Conference on AI (pp. 153–161).
Hudlickà, E., & Lesser, V.R. (1987). Modeling and diagnosing problem-solving system behavior. IEEETransactions on Systems, Man, and Cybernetics, 17(3), 407–419. (Also published in (1988) A. Bond & L. Gasser (Eds.), Readings in distributed artificial intelligence. CA:Morgan Kaufmann Publishers.) Google Scholar
Kinney, M., & Tsatsoulis, C. (1993).Learning communication strategies in distributed agent environments. (Working Paper CECASE-WP-93-4). Lawrence: Center for Excellence in Computer-Aided Systems Engineering, The University of Kansas. Google Scholar
Lesser, V.R. (1991).A retrospective view of FA/C distributed problem solving. IEEE Transactions on Systems, Man, and Cybernetics, 21(6), 1347–1362. Google Scholar
Lesser, V.R. (1998). Reflections of the nature of multi-agent coordination and its implications for an agentarchitecture. Autonomous Agents and Multi-Agent Systems, 1, 89–111. Google Scholar
Lesser, V.R., Decker, K., Carver, N., Garvey, A., Neiman, D., Nagendra Prasad, M., & Wagner, T. (1998). Evolution of the GPGP domain-independent coordination framework. (Computer Science Technical Report 98-05). Amherst: University of Massachusetts. Google Scholar
Lesser, V., Nawab, H., & Klassner, F. (1995). IPUS:Anarchitecture for the integrated processing and understanding of signals.Artificial Intelligence, 77, 129–171. Google Scholar
Nagendra Prasad, M.V., & Lesser, V. (1996). Off-line learning ofcoordination in functionally structured agents for distributed data processing. Proceedings of the ICMAS-96 Workshop on LIOME. (An extended version of the paper appears as: (1997). Learning situation-specific coordination in cooperative multi-agent systems. (Computer Science Technical Report 97-12). Amherst: University of Massachusetts. Google Scholar
NagendraPrasad, M.V., Lesser, V.R., & Lander, S. (1998). Learning organizational roles for negotiated search in a multi-agent system. International Journal of Human-Computer Studies (IJHCS), special issue on Evolution and Learning in Multi-Agent Systems, 48, 51–67. Google Scholar
Sandholm, T., & Crites, R. (1995). Multi-agent reinforcementlearning in the iterated prisoner's dilemma. Biosystems, 37, 147–166, special issue on the Prisoner's Dilemma. Google Scholar
Sen, S., Sekaran, M., & Hale, J. (1994). Learning to coordinate without sharing information. Proceedings of the 1994National Conference on AI (pp. 426–431).
Shoham, Y., & Tennenholtz, M. (1992). Emergent conventions in multi-agentsystems: Initial experimental results and observations. Proceedings of KR-92.
Sugawara, T. (1990). A cooperative LANdiagnostic and observation expert system. Proceedings of IEEE Phoenix Conference on Comp. and Comm. (pp. 667–674).
Sugawara, T., & Lesser, V.R. (1993). On-line learning of coordination plans. (Computer Science Technical Report93-27). Amherst: University of Massachusetts. (A shorter version of this paper was also published in (1993) Proc. of the 12th Intl. Workshop on Distributed AI.) Google Scholar
Sugawara, T., & Murakami, K. (1992). A multiagent diagnostic system forinternetwork problems. Proceedings of INET'92.
Sycara, K. (1989). Multiagent compromise via negotiation. InL. Gasser & M.N. Huhns (Eds.), Distributed artificial intelligence II. CA: Morgan Kaufmann Publishers. Google Scholar
Tan, M.(1993). Multi-agent reinforcement learning: Independent vs. cooperative agents. Proceedings of the Tenth International Conference on Machine Learning (pp. 330–337).
Weiss, G. (1994). Some studies in distributed machine learning andorganizational design. (Technical Report FKI-189-94). TU, Mnchen: Institut für Informatik.