[agents] [AAMAS-14] Call for Nominations of Influential Papers

[Matthew Taylor]

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*** Call for Nominations ***
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2014 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-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), ishida at i.kyoto-u.ac.jp.
(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)
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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.
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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 ishida at i.kyoto-u.ac.jp
Web http://www.ai.soc.i.kyoto-u.ac.jp/~ishida/