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AAMAS
2005
Springer
13 years 8 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
IAT
2005
IEEE
14 years 2 months ago
Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...
Ah-Hwee Tan, Dan Xiao
MAAMAW
1994
Springer
14 years 23 days ago
A Multi-Agent Approach to Dynamic, Adaptive Scheduling of Material Flow
Advanced manufacturing control still remains an important topic in current research. Especially aspects of dynamics and of failures in the production process are insufficiently ta...
Stefan Bussmann
IAT
2006
IEEE
14 years 2 months ago
A Multi-Agent Approach to Social Human Behaviour in Children's Play
This paper introduces a multi-agent system (MAS) approach for modelling social behaviours in children’s play. The children, the dynamics of their play, and the playground are mo...
Frodi Hammer, Alireza Derakhshan, Yves Demazeau, H...
HICSS
2003
IEEE
123views Biometrics» more  HICSS 2003»
14 years 2 months ago
Issues in Rational Planning in Multi-Agent Settings
We adopt the decision-theoretic principle of expected utility maximization as a paradigm for designing autonomous rational agents operating in multi-agent environments. We use the...
Piotr J. Gmytrasiewicz