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» Multiagent simulation of learning environments
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AAAI
1998
13 years 9 months ago
Tree Based Discretization for Continuous State Space Reinforcement Learning
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
William T. B. Uther, Manuela M. Veloso
FLAIRS
2007
13 years 10 months ago
Robotran: A Programming Environment for Novices Using LEGO Mindstorms Robots
The LEGO Mindstorms robots provide an excellent introductory platform for students to learn computer programming. However, a major drawback is students’ lack of access to robots...
R. Mark Meyer, Debra T. Burhans
ATAL
2010
Springer
13 years 9 months ago
Bootstrapping trust evaluations through stereotypes
In open, dynamic multi-agent systems, agents may form short-term ad-hoc groups, such as coalitions, in order to meet their goals. Trust and reputation are crucial concepts in thes...
Chris Burnett, Timothy J. Norman, Katia P. Sycara
KI
2002
Springer
13 years 7 months ago
ParleE: An Adaptive Plan Based Event Appraisal Model of Emotions
Abstract. We propose ParleE, a quantitative, flexible and adaptive model of emotions for a conversational agent in a multi-agent environment capable of multimodal communication. Pa...
The Duy Bui, Dirk Heylen, Mannes Poel, Anton Nijho...
ENGL
2007
136views more  ENGL 2007»
13 years 7 months ago
Multilayered Evolutionary Architecture for Behaviour Arbitration in Cognitive Agents
— In this work, an hybrid, self-configurable, multilayered and evolutionary subsumption architecture for cognitive agents is developed. Each layer of the multilayered architectur...
Oscar Javier Romero López