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» Learning to identify winning coalitions in the PAC model
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ATAL
2006
Springer
13 years 8 months ago
Learning to identify winning coalitions in the PAC model
We consider PAC learning of simple cooperative games, in which the coalitions are partitioned into "winning" and "losing" coalitions. We analyze the complexity...
Ariel D. Procaccia, Jeffrey S. Rosenschein
ESEC
1997
Springer
13 years 9 months ago
Developing Multimedia Applications with the WinWin Spiral Model
Fifteen teams recently used the WinWin Spiral Model to perform the system engineering and architecting of a set of multimedia applications for the USC Library Information Systems....
Barry W. Boehm, Alexander Egyed, Julie Kwan, Raymo...
AAAI
2008
13 years 7 months ago
Manipulating the Quota in Weighted Voting Games
Weighted voting games provide a popular model of decision making in multiagent systems. Such games are described by a set of players, a list of players' weights, and a quota;...
Michael Zuckerman, Piotr Faliszewski, Yoram Bachra...
ACL
2011
12 years 8 months ago
Learning to Win by Reading Manuals in a Monte-Carlo Framework
This paper presents a novel approach for leveraging automatically extracted textual knowledge to improve the performance of control applications such as games. Our ultimate goal i...
S. R. K. Branavan, David Silver, Regina Barzilay
ATAL
2005
Springer
13 years 10 months ago
Fuzzy number approach to trust in coalition environment
General trust management model that we present is adapted for ad-hoc coalition environment, rather than for classic client-supplier relationship. The trust representation used in ...
Martin Rehák, Michal Pechoucek, Petr Benda