[agents] Final call: IFAAMAS Influential Paper Award: nominations are due by Feb. 8 2016
Onn Shehory
ONN at il.ibm.com
Sat Feb 6 04:48:42 EST 2016
** CALL FOR NOMINATIONS ***
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2016 IFAAMAS Award for Influential Papers in Autonomous Agents and
Multiagent Systems
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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-2016 in Singapore, in May. Winning papers must have been published
at least 10 years before the award presentation. Therefore, papers
eligible for the 2016 award must have been published in April 2005 or
earlier, in a recognized forum (journal, conference, workshop).
To nominate a publication for this award, please send the full reference
plus a brief statement (200 words or fewer) arguing the significance of
the paper to Onn Shehory (chair of the 2016 committee for this award),
onn at il.ibm.com
(Please put NOMINATION in the subject line.)
Nominations are due by the 8th of February 2016.
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PREVIOUS AWARD WINNERS
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2015
MICHAEL L. LITTMAN (1994)
Markov games as a framework for multi-agent reinforcement learning.
Eleventh International Conference on Machine Learning (ICML-94), pp.
157-163, 1994.
2014
ONN SHEHORY AND SARIT KRAUS (1998)
Methods for task allocation via agent coalition formation. Artificial
Intelligence, vol. 101 (1-2), May 1998, pp. 165-200
2013
CRISTIANO CASTELFRANCHI (1998)
Modelling social action for AI agents. Artificial Intelligence, Volume
103, Issues 1-2, August 1998, Pages 157-182.
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.
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.
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