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» Learning Cooperative Lane Selection Strategies for Highways
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ML
2006
ACM
113views Machine Learning» more  ML 2006»
13 years 5 months ago
Learning to bid in bridge
Bridge bidding is considered to be one of the most difficult problems for game-playing programs. It involves four agents rather than two, including a cooperative agent. In additio...
Asaf Amit, Shaul Markovitch
GECCO
2008
Springer
143views Optimization» more  GECCO 2008»
13 years 6 months ago
How social structure and institutional order co-evolve beyond instrumental rationality
This study proposes an agent-based model where adaptively learning agents with local vision who are situated in the Prisoner’s Dilemma game change their strategy and location as...
Jae-Woo Kim
ATAL
2009
Springer
13 years 11 months 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
GECCO
2006
Springer
134views Optimization» more  GECCO 2006»
13 years 8 months ago
The Baldwin effect under spatial isolation and autonomous reproduction
The impact of learning on evolution in dynamic environments undergoes recognized stages of the Baldwin Effect although its cause is not clear. To identify it experimentally, we de...
H. L. Peng, J. C. Tay