| On representing coalitional games with externalities |
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Electronic Commerce
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Proceedings of the tenth ACM conference on Electronic commerce
table of contents
Stanford, California, USA
SESSION: Session 1
table of contents
Pages 11-20
Year of Publication: 2009
ISBN:978-1-60558-458-4
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Authors
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Tomasz P. Michalak
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University of Liverpool, Liverpool, United Kingdom
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Talal Rahwan
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University of Southampton, Southampton, United Kingdom
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Jacek Sroka
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University of Warsaw, Warsaw, Poland
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Andrew Dowell
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University of Liverpool, Liverpool, United Kingdom
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Michael J. Wooldridge
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University of Liverpool, Liverpool, United Kingdom
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Peter J. McBurney
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University of Liverpool, Liverpool, United Kingdom
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Nicholas R. Jennings
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University of Southampton, Southampton, United Kingdom
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Downloads (6 Weeks): 12, Downloads (12 Months): 34, Citation Count: 0
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ABSTRACT
We consider the issue of representing coalitional games in multi-agent systems with externalities (i.e., in systems where the performance of one coalition may be affected by other co-existing coalitions). In addition to the conventional partition function game representation (PFG), we propose a number of new representations based on a new notion of externalities. In contrast to conventional game theory, our new concept is not related to the process by which the coalitions are formed, but rather to the effect that each coalition may have on the entire system and vice versa. We show that the new representations are fully expressive and, for many classes of games, more concise than the conventional PFG. Building upon these new representations, we propose a number of approaches to solve the coalition structure generation problem in systems with externalities. We show that, if externalities are characterised by various degrees of regularity, the new representations allow us to adapt coalition structure generation algorithms that were originally designed for domains with no externalities, so that they can be used when externalities are present. Finally, building upon Rahwan et al. [16] and Michalak et al. [9], we present a unified method to solve the coalition structure generation problem in any system, with or without externalities, provided sufficient information is available.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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E. Catilina and R.Feinberg. Market power and incentives to form research consortia. Review of Industrial Organization, 28(2):129--144, 2006.
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2
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V. Conitzer and T. Sandholm. Complexity of Determining Nonemptiness in The Core. In In Proceedings of IJCAI, pages 219--225, 2004.
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3
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Vincent Conitzer , Tuomas Sandholm, Computing shapley values, manipulating value division schemes, and checking core membership in multi-issue domains, Proceedings of the 19th national conference on Artifical intelligence, p.219-225, July 25-29, 2004, San Jose, California
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4
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5
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G. de Clippel and R. Serrano. Marginal contributions and externalities in the value. Econometrica, 76:1413--1436, 2008.
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6
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7
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8
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W. Lucas and R. Thrall. n-person games in partition function form. Naval Res. Logist. Quart. X, pages 281--298, 1963.
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10
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Naoki Ohta , Atsushi Iwasaki , Makoto Yokoo , Kohki Maruono , Vincent Conitzer , Tuomas Sandholm, A compact representation scheme for coalitional games in open anonymous environments, Proceedings of the 21st national conference on Artificial intelligence, p.697-702, July 16-20, 2006, Boston, Massachusetts
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12
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J. Plasmans, J. Engwerda, B. vanAarle, G.D. Bartolomeo, and T. Michalak. Dynamic Modelling of Monetary and Fiscal Cooperation Among Nations. Springer, New York USA, 2006.
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13
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14
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T. Rahwan and N.R. Jennings. Coalition structure generation: Dynamic programming meets anytime optimisation. In Proceedings of AAAI, pages 156--161, 2008.
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15
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16
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T. Rahwan, S.D. Ramchurn, A. Giovannucci, and N.R. Jennings. An anytime algorithm for optimal coalition structure generation. Journal of Artificial Intelligence Research (JAIR), 34:521--567, 2009.
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18
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19
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