Ant Intelligence in Robotic Soccer | Zendy

R. Ramani | Zendy; P. Viswanath | Zendy; B. Arjun | Zendy

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Ant Intelligence in Robotic Soccer

Author(s) -

R. Ramani,

P. Viswanath,

B. Arjun

Publication year - 2008

Publication title -

international journal of advanced robotic systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.394

H-Index - 46

eISSN - 1729-8814

pISSN - 1729-8806

DOI - 10.5772/5657

Subject(s) - computer science , artificial intelligence , adversary , robot , human–computer interaction , crowd psychology , simulation , computer security

Robotic Soccer is a multi-agent test bed, which requires the designer to address most of the issues of multi-agent research. Social insect behaviors observed in nature when adopted to solve problems they are giving promissing results. The domains like computers, electronics, electrical, mechanical etc., are inspired in adopting these behaviors. This paper addresses the ant intelligence in robotic soccer to evolve the best team of players. The simulation team evolved (PUTeam) was tested with teams of soccerbots in teambots (a simulation tool for Robotic Soccer) and the experimental results clearly shows the performance of the evolved team against the opponent teams are more effective

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