Nominations must be made no later than: 
December 16, 2008.
                    
                    
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                  2009 IFAAMAS Award for Influential Papers in Agents and Multiagent Systems    
                  
                The International Foundation for Autonomous Agents and Multi-Agent  Systems has established an award to recognize publications that have  made influential and long-lasting contributions to the field.  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 proved 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-09 in Budapest 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 1999 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 Michael Wellman (chair of the 2009 award  cmte), 
wellman@umich.edu.    
                
                Nominations are due by
 4 February 2009.    
                
                2009 Influential Paper Award Committee:  Michael Wellman (chair), Sarit Kraus, Hideyuki Nakashima, Milind Tambe      
                
                
Previous Award Winners    
                
                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.
                
                
                
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                IFAAMAS-08 Victor Lesser Distinguished Dissertation Award 
                                
                Ariel Procaccia receives the 2008 Victor Lesser Distinguished  Dissertation Award sponsored by IFAAMAS, the International Foundation  for Autonomous Agents and Multiagent Systems (
http://www.ifaamas.org).    
                
                The selection committee for the IFAAMAS-08 Victor Lesser Distinguished  Dissertation Award is pleased to announce that Dr. Ariel Procaccia has  won the award. Dr. Procaccia received the Ph.D. in Computer Science  from Hebrew University of Jerusalem.  His thesis contains fundamental  contributions to computational social choice theory, covering a wide  variety of topics including the complexity of election manipulation,  the robustness of voting rules, the learnability of voting rules, and  incentive-compatible machine learning. Among other contributions, it  introduces a new way of analyzing the manipulability of social choice  functions, which has become influential in AAMAS and related research  communities.    
                
                The committee is also pleased to announce two runners-up: Dr. Matthew  Taylor, who received his Ph.D. in Computer Science from the University  of Texas at Austin, and Dr. Yevgeniy Vorobeychik, who received his  Ph.D. in Computer Science and Engineering from the University of  Michigan. Dr. Taylor's thesis concerns transfer learning and  Dr. Vorobeychik's thesis studies empirical mechanism design. Both  dissertations also make innovative and influential contributions to  the field of autonomous agents and multiagent systems.    
                
                Previous winners of this award were Radu Jurca (2007) and  Vincent Conitzer (2006).    
                
                The selection committee members were Vincent Conitzer, Les Gasser,  Radu Jurca, Sarit Kraus, Sandip Sen, and Makoto Yokoo (chair).