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» Probabilistic analysis of simulation-based games
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RSKT
2009
Springer
14 years 9 days ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao
CG
2006
Springer
13 years 9 months ago
A Retrograde Approximation Algorithm for One-Player Can't Stop
Abstract. A one-player, finite, probabilistic game with perfect information can be presented as a bipartite graph. For one-player Can't Stop, the graph is cyclic and the chall...
James Glenn, Haw-ren Fang, Clyde P. Kruskal
UAI
2008
13 years 7 months ago
Knowledge Combination in Graphical Multiagent Models
A graphical multiagent model (GMM) represents a joint distribution over the behavior of a set of agents. One source of knowledge aboutagents'behaviormaycomefromgametheoretic ...
Quang Duong, Michael P. Wellman, Satinder P. Singh
TNN
2010
174views Management» more  TNN 2010»
13 years 14 days ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...
ATAL
2009
Springer
14 years 10 days ago
A memetic framework for describing and simulating spatial prisoner's dilemma with coalition formation
This paper presents a framework for describing the spatial distribution and the global frequency of agents who play the spatial prisoner’s dilemma with coalition formation. The ...
Juan C. Burguillo-Rial