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AAAI
2000
15 years 5 months ago
Localizing Search in Reinforcement Learning
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...
Gregory Z. Grudic, Lyle H. Ungar
CEC
2005
IEEE
15 years 9 months ago
Music evolution in a complex system of interacting agents
The evolution of music, from random note strings to certain “pleasant” note sequences, is traced in a multi-agent computational model. A community of agents, with some musical ...
Tao Gong, Qian Zhang, Hua Wu
ATAL
2003
Springer
15 years 9 months ago
Model checking agentspeak
This paper introduces AgentSpeak(F), a variation of the BDI logic programming language AgentSpeak(L) intended to permit the model-theoretic verification of multi-agent systems. A...
Rafael H. Bordini, Michael Fisher, Carmen Pardavil...
INFSOF
2008
90views more  INFSOF 2008»
15 years 4 months ago
JADE: A software framework for developing multi-agent applications. Lessons learned
Since a number of years agent technology is considered one of the most innovative technologies for the development of distributed software systems. While not yet a mainstream appr...
Fabio Bellifemine, Giovanni Caire, Agostino Poggi,...
140
Voted
TSMC
2002
128views more  TSMC 2002»
15 years 3 months ago
Imitation with ALICE: learning to imitate corresponding actions across dissimilar embodiments
Imitation is a powerful mechanism whereby knowledge may be transferred between agents (both biological and artificial). Key problems on the topic of imitation have emerged in vario...
Aris Alissandrakis, Chrystopher L. Nehaniv, Kersti...