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» Learning Action Selection Network of Intelligent Agent
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99
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ATAL
2005
Springer
15 years 9 months ago
Global convergence of local agent behaviors
Many multi-agent systems seek to reconcile two apparently inconsistent constraints. The system’s overall objective is defined at a global level. However, the agents have only lo...
H. Van Dyke Parunak, Sven Brueckner, John A. Saute...
GECCO
2008
Springer
179views Optimization» more  GECCO 2008»
15 years 4 months ago
Developing neural structure of two agents that play checkers using cartesian genetic programming
A developmental model of neural network is presented and evaluated in the game of Checkers. The network is developed using cartesian genetic programs (CGP) as genotypes. Two agent...
Gul Muhammad Khan, Julian Francis Miller, David M....
88
Voted
ATAL
2008
Springer
15 years 5 months ago
Identifying beneficial teammates using multi-dimensional trust
Multi-agent teams must be capable of selecting the most beneficial teammates for different situations. Multi-dimensional trustworthiness assessments have been shown significantly ...
Jaesuk Ahn, Xin Sui, David DeAngelis, K. Suzanne B...
119
Voted
ATAL
2007
Springer
15 years 9 months ago
Theoretical advantages of lenient Q-learners: an evolutionary game theoretic perspective
This paper presents the dynamics of multiple reinforcement learning agents from an Evolutionary Game Theoretic (EGT) perspective. We provide a Replicator Dynamics model for tradit...
Liviu Panait, Karl Tuyls
CIA
2001
Springer
15 years 8 months ago
Equilibria Strategies for Selecting Sellers and Satisfying Buyers
We consider marketplaces where buyers and sellers iteratively encounter to trade. Given some specific trade conditions, the question that we address is what strategies should buy...
Claudia V. Goldman, Sarit Kraus, Onn Shehory