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» Game Theory Using Genetic Algorithms
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ATAL
2010
Springer
13 years 11 months ago
Path disruption games
We propose Path Disruption Games (PDGs), which consider collaboration between agents attempting stop an adversary from travelling from a source node to a target node in a graph. P...
Yoram Bachrach, Ely Porat
AAMAS
2007
Springer
14 years 4 months ago
Networks of Learning Automata and Limiting Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is that...
Peter Vrancx, Katja Verbeeck, Ann Nowé
GECCO
2005
Springer
122views Optimization» more  GECCO 2005»
14 years 3 months ago
An enhanced GA to improve the search process reliability in tuning of control systems
Evolutionary Algorithms (EAs) have been largely applied to optimisation and synthesis of controllers. In spite of several successful applications and competitive solutions, the st...
Andrea Soltoggio
WABI
2001
Springer
110views Bioinformatics» more  WABI 2001»
14 years 2 months ago
Boosting EM for Radiation Hybrid and Genetic Mapping
Radiation hybrid (RH) mapping is a somatic cell technique that is used for ordering markers along a chromosome and estimating physical distances between them. It nicely complements...
Thomas Schiex, Patrick Chabrier, Martin Bouchez, D...
ATAL
2009
Springer
14 years 4 months ago
Easy and hard coalition resource game formation problems: a parameterized complexity analysis
Coalition formation is a key topic in multi–agent systems (mas). Coalitions enable agents to achieve goals that they may not have been able to achieve independently, and encoura...
Tammar Shrot, Yonatan Aumann, Sarit Kraus