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» Evolution and learning in multiagent systems
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ICALT
2006
IEEE
14 years 3 months ago
Tuning IMS LD for Implementing a Collaborative Lifelong Learning Scenario
This paper describes an approach for modeling and implementing a collaborative learning situation, which is part of a real lifelong learning scenario in astronomy. We adopt and sl...
Davinia Hernández Leo, Eloy D. Villasclaras...
ATAL
2006
Springer
14 years 23 days ago
Learning the required number of agents for complex tasks
Coordinating agents in a complex environment is a hard problem, but it can become even harder when certain characteristics of the tasks, like the required number of agents, are un...
Sébastien Paquet, Brahim Chaib-draa
AR
2008
118views more  AR 2008»
13 years 9 months ago
Efficient Behavior Learning Based on State Value Estimation of Self and Others
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
Yasutake Takahashi, Kentarou Noma, Minoru Asada
ATAL
2005
Springer
14 years 2 months ago
Discovering strategic multi-agent behavior in a robotic soccer domain
2. THE MASM ALGORITHM An input to the MASM algorithm is a time-annotated multi-agent action sequence. The action sequence is then transformed into an action graph. An action graph ...
Andraz Bezek
BIS
2006
132views Business» more  BIS 2006»
13 years 10 months ago
Utilizing Successful Work Practice for Business Process Evolution
Business process management (BPM) has emerged as a dominant technology in current enterprise systems and business solutions. However, business processes are always evolving in cur...
Ruopeng Lu, Shazia Wasim Sadiq, Guido Governatori