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AAAI
2006
13 years 9 months ago
A Value Theory of Meta-Learning Algorithms
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
Abraham Bagherjeiran
ANOR
2008
127views more  ANOR 2008»
13 years 8 months ago
Computer science and decision theory
This paper reviews applications in computer science that decision theorists have addressed for years, discusses the requirements posed by these applications that place great strai...
Fred S. Roberts
ACG
2009
Springer
14 years 2 months ago
Incongruity-Based Adaptive Game Balancing
Abstract. Commercial games have various methods of game balancing, which modify the game’s entertainment value for players of different skill levels. This paper presents a way o...
Giel van Lankveld, Pieter Spronck, H. Jaap van den...
SAGT
2010
Springer
157views Game Theory» more  SAGT 2010»
13 years 6 months ago
On the Structure of Weakly Acyclic Games
The class of weakly acyclic games, which includes potential games and dominance-solvable games, captures many practical application domains. Informally, a weakly acyclic game is on...
Alex Fabrikant, Aaron D. Jaggard, Michael Schapira
ATAL
2006
Springer
13 years 11 months ago
Study of social consciousness in stochastic agent based simulations: application to supply chains
Empirical game theory allows studying the strategic interactions of agents in simulations. Specifically, traditional game theory describes such interactions by an analytical model...
Thierry Moyaux, Brahim Chaib-draa, Sophie D'Amours