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» Maximal Introspection of Agents
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FLAIRS
2009
14 years 8 months ago
Beating the Defense: Using Plan Recognition to Inform Learning Agents
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
Matthew Molineaux, David W. Aha, Gita Sukthankar
CORR
2010
Springer
135views Education» more  CORR 2010»
14 years 10 months ago
Bounded Rationality, Strategy Simplification, and Equilibrium
It is frequently suggested that predictions made by game theory could be improved by considering computational restrictions when modeling agents. Under the supposition that player...
Hubie Chen
CEC
2007
IEEE
15 years 4 months ago
Emergent specialization in the extended multi-rover problem
Abstract— This paper introduces the Collective Neuro Evolution (CONE) method, and compares its efficacy for designing specialization, with a conventional Neuro-Evolution (NE) me...
Geoff S. Nitschke, Martijn C. Schut, A. E. Eiben
ATAL
2004
Springer
15 years 3 months ago
The Advantages of Compromising in Coalition Formation with Incomplete Information
This paper presents protocols and strategies for coalition formation with incomplete information under time constraints. It focuses on strategies for coalition members to distribu...
Sarit Kraus, Onn Shehory, Gilad Taase
ATAL
2006
Springer
15 years 1 months ago
Performance evaluation of open-source multiagent platforms
Nowadays, most multiagent platforms are internally designed as middleware and are usually implemented in Java and run on top of an operating system. This kind of design maximizes ...
Luis Mulet, Jose M. Such, Juan M. Alberola