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ADVCS
2007
108views more  ADVCS 2007»
15 years 6 months ago
Open Synchronous Cellular Learning Automata
Cellular learning automata is a combination of learning automata and cellular automata. This model is superior to cellular learning automata because of its ability to learn and als...
Hamid Beigy, Mohammad Reza Meybodi
AI
2008
Springer
15 years 6 months ago
Managing parallel inquiries in agents' two-sided search
In this paper we address the problem of agents engaged in a distributed costly two-sided search for pairwise partnerships in Multi-Agent Systems (MAS). While traditional two-sided...
David Sarne, Sarit Kraus
AR
2008
118views more  AR 2008»
15 years 6 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
AUTOMATICA
2007
124views more  AUTOMATICA 2007»
15 years 6 months ago
Motion planning in uncertain environments with vision-like sensors
In this work we present a methodology for intelligent path planning in an uncertain environment using vision like sensors, i.e., sensors that allow the sensing of the environment ...
Suman Chakravorty, John L. Junkins
CN
2010
109views more  CN 2010»
15 years 6 months ago
A taxonomy of biologically inspired research in computer networking
The natural world is enormous, dynamic, incredibly diverse, and highly complex. Despite the inherent challenges of surviving in such a world, biological organisms evolve, self-org...
Michael Meisel, Vasileios Pappas, Lixia Zhang
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