Abstract
Agents that participate in a multiagent organisation must receive a reasonable compensation for delivering services to this organisation. Otherwise, the agents would refrain from joining the organisation due to their self-interest. Thus, the formation of multiagent organisations is no mechanical process, but subject to considerations of the involved agents. We approach this decision problem by a bid-price approach from quantity-based Revenue Management to maximise each individual agent’s expected revenue. The proposed method is evaluated in a simulation with competing service provider agents. The results suggest that our approach is robust for most cases with low demand and outweighs non-discriminating formation processes when supply exceeds demand.
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References
Sandholm, T., Lesser, V.: Coalitions among computationally bounded agents. Artificial Intelligence 94, 99–137 (1997)
Kahan, J.P., Rapoport, A.: Theories of coalition formation. L. Erlbaum Associates (1984)
Shehory, O., Kraus, S.: Methods for task allocation via agent coalition formation. Artificial Intelligence 101(1-2), 165–200 (1998)
Fischer, K., Müller, J., Heimig, I., Scheer, A.: Intelligent agents in virtual enterprises. In: Proceedings 1st International Conference on the Practical Application of Intelligent Agents and Multi Agents Technology (1996)
Wooldridge, M., Jennings, N.R., Kinny, D.: The gaia methodology for agent-oriented analysis and design. Autonomous Agents and Multi-Agent Systems 3(3), 285–312 (2000)
Ferber, J., Gutknecht, O., Michel, F.: From agents to organizations: An organizational view of multi-agent systems. In: Giorgini, P., Müller, J.P., Odell, J.J. (eds.) AOSE 2003. LNCS, vol. 2935, pp. 214–230. Springer, Heidelberg (2004)
Chiang, W.C., Chen, J., Xu, X.: An overview of research on revenue management: current issues and future research. International Journal of Revenue Management 1(1), 97–128 (2007)
Weatherford, L.R., Bodily, S.E.: A taxonomy and research overview of perishable-asset revenue management: Yield management, overbooking, and pricing. Operations Research 40(4), 831–844 (1992)
Huhns, M.N., Stephens, L.M.: Multiagent systems and societies of agents. In: Weiss, G. (ed.) Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, pp. 79–120. MIT Press (1999)
Jennings, N.: On agent-based software engineering. Artificial Intelligence 117, 277–296 (2000)
Ferber, J., Gutknecht, O.: A meta-model for the analysis and design of organizations in multiagent systems. In: Proceedings of the Third International Conference on Multi-Agent Sytstems, ICMAS 1998 (1998)
Bond, A.H., Gasser, L. (eds.): Readings in Distributed Artificial Intelligence. Morgan Kaufmann Publishers, San Mateo (1988)
Horling, B., Lesser, V.: A survey of multiagent organizational paradigms. Technical report, University of Massachusetts (2004)
Barbuceanu, M., Fox, M.S.: The information agent: an infrastructure agent supporting collaborative enterprise architectures. In: Third Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (1994)
Zarour, N., Boufaida, M., Seinturier, L.: Supporting virtual enterprise systems using agent coordination. Knowledge and Information Systems 8(3), 330–349 (2005)
McGill, J.I., van Ryzin, G.J.: Revenue management: Research overview and prospects. Transportation Science 33(2), 233–256 (1999)
Talluri, K.T., van Ryzin, G.J.: The Theory and Practice of Revenue Management. Springer, New York (2004)
Bitran, G., Calentey, R.: An overview of pricing models for revenue management. Manufacturing & Service Operations Management 5(3), 203–229 (2003)
Kultti, K.: Equivalence of auctions and posted prices. Games and Economic Behavior 27, 106–113 (1999)
Botimer, T., Belobaba, P.: Airline pricing and fare product differentiation: A new theorectical framework. Journal of Operational Research Society 50, 1085–1097 (1999)
Talluri, K., van Ryzin, G.: An analysis of bid-price controls for network revenue management. Management Science 44(11), 1577–1593 (1998)
Karp, R.: Reducibility among combinatorial problems. In: Miller, R., Thatcher, J. (eds.) Complexity of Computer Computations, Plenum Press, New York (1972)
Garey, M.R., Johnson, D.S.: Computers and Intractability: A Guide to the Theory of NP-Completeness. W. H. Freeman, New York (1979)
North, M., Collier, N., Ozik, J., Tatara, E., Macal, C., Bragen, M., Sydelko, P.: Complex adaptive systems modeling with repast simphony. Complex Adaptive Systems Modeling 1(1), 3 (2013)
Syntetos, A.A., Boylan, J.E., Disney, S.M.: Forecasting for inventory planning: A 50-year review. The Journal of the Operational Research Society 60, 149–160 (2009)
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Premm, M., Widmer, T., Karänke, P. (2013). Bid-Price Control for the Formation of Multiagent Organisations. In: Klusch, M., Thimm, M., Paprzycki, M. (eds) Multiagent System Technologies. MATES 2013. Lecture Notes in Computer Science(), vol 8076. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40776-5_14
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DOI: https://doi.org/10.1007/978-3-642-40776-5_14
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