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A research on non-interactive multi agents by ACS & Direction vector algorithm
Journal of The Korea Society of Computer and Information
Abbr :
JKSCI
2010, 15(12), pp.11-18
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
2010, 15(12), pp.11-18
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
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In this paper, We suggest new strategies on non-interactive agents applied in a prey pursuit problem of multi agent research. The structure of the prey pursuit problem by grid space(Four agent & one prey). That is allied agents captured over one prey. That problem has long been known in interactive, non-interactive of multi agent research. We trying hard to find its own solution from non-interactive agent method on not in the same original environment(circular environment). We used ACS applied Direction vector to learning and decide on a direction. Exchange of information between agents have been previously presented (an interactive agent) out of the way information exchange ratio (non-interactive agents), applied the new method. Can also solve the problem was to find a solution. This is quite distinct from the other existing multi agent studies, that doesn't apply interactive agents but independent agent to find a solution.
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