******************************************************************************** *** Call for Nominations *** ********************************************************************************
2014 IFAAMAS Award for Influential Papers in Autonomous Agents and Multiagent Systems ******************************************************************************** In 2006 The International Foundation for Autonomous Agents and Multi-Agent Systems established an award to recognize publications in the autonomous agents and multiagent systems field that have made influential and long-lasting contributions. Candidates for this award are papers that have proved a key result, led to the development of a new subfield, demonstrated a significant new application or system, or simply presented a new way of thinking about a topic that has proven influential. A list of previous winners of this award is appended below. This award is presented annually at the AAMAS Conference, in this case AAMAS-2014 in Paris in May. Winning papers must have been published at least 10 years before the award presentation, therefore this year's eligible set comprises papers published in 2004 or earlier, in any recognized forum (journal, conference, workshop). To nominate a publication for this award, please send the full reference plus a brief statement (150 words or fewer) about the significance of the paper to Toru Ishida (chair of the 2014 committee for this award), [email protected]. (Please put NOMINATION in the subject line.) Nominations are due by the 17th of February 2014. 2014 Influential Paper Award Committee: Cristiano Castelfranchi, Yoav Shoham, Michael Wellman, Toru Ishida (chair) ------------------------------------------ Previous Award Winners 2013 CRISTIANO CASTELFRANCHI (1998) Modelling social action for AI agents. Artificial Intelligence, Volume 103, Issues 1-2, August 1998, Pages 157-182. TOGETHER WITH CRISTIANO CASTELFRANCHI (1995) Commitment: From individual intentions to groups and organizations. First International Conference on Multi-Agent Systems, pages 41-49, 1995. 2012 MILIND TAMBE (1997) Towards Flexible Teamwork", Journal of Artificial Intelligence Research, 7, pp 83-124. MICHAEL P. WELLMAN (1993) A market-oriented programming environment and its application to distributed multicommodity flow problems." Journal of Artificial Intelligence Research, 1, pp. 1-23. 2011 YOAV SHOHAM (1993) Agent-oriented programming, Artificial Intelligence, 60, pp. 51-92. 2010 YOKOO, M. DURFEE, E. H., ISHIDA, T. & KUWABARA, K. (1998) The Distributed Constraint Satisfaction Problem: Formalization and Algorithms. IEEE Transactions on Knowledge and Data Engineering 10:673-685. TOGETHER WITH YOKOO, M. & HIRAYAMA, K. (1996) Distributed Breakout Algorithm for Solving Distributed Constraint Satisfaction Problems Second International Conference on Multiagent Systems (ICMAS-96), pp.401-408. 2009 The award was given to the series of edited collections of papers on Distributed AI published in the late 1980s: HUHNS. M. H. (Ed.) (1987) Distributed Artificial Intelligence. London, Pitman. BOND, A. & GASSER, L. (Eds.) (1988) Readings in Distributed Artificial Intelligence. San Mateo, CA, Morgan Kaufmann. GASSER L. & HUHNS, M. H. (Eds.) (1989) Distributed Artificial Intelligence (Volume II). Pitman and Morgan Kaufmann. 2008 BRATMAN, M. E., ISRAEL, D. J. & POLLACK, M. E. (1988) Plans and resource-bounded practical reasoning. Computational Intelligence, 4, 349-355. DURFEE, E. H. & LESSER, V. R. (1991) Partial global planning: A coordination framework for distributed hypothesis formation. IEEE Transactions on Systems, Man, and Cybernetics, 21, 1167-1183. 2007 GROSZ, B. J. & KRAUS, S. (1996) Collaborative plans for complex group action. Artificial Intelligence, 86, 269-357. RAO, A. S. & GEORGEFF, M. P. (1991) Modeling rational agents within a BDI-architecture. Second International Conference on Principles of Knowledge Representation and Reasoning. ROSENSCHEIN, J. S. & GENESERETH, M. R. (1985) Deals among rational agents. Ninth International Joint Conference on Artificial Intelligence. 2006 COHEN, P. R. & LEVESQUE, H. J. (1990) Intention is choice with commitment. Artificial Intelligence, 42, 213-261. DAVIS, R. & SMITH, R. G. (1983) Negotiation as a metaphor for distributed problem solving. Artificial Intelligence, 20, 63-109. ******************************************************************************** Toru Ishida Department of Social Informatics, Kyoto University Yoshida-Honmachi, Kyoto 606-8501, Japan TEL 81 75 753 4821 FAX 81 75 753 4820 E-mail [email protected] Web http://www.ai.soc.i.kyoto-u.ac.jp/~ishida/
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