Ant Intelligence in Robotic Soccer
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 e...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2008-11-01
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| Series: | International Journal of Advanced Robotic Systems |
| Online Access: | http://www.intechopen.com/articles/show/title/ant_intelligence_in_robotic_soccer |
| _version_ | 1811264292293443584 |
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| author | R. Geetha Ramani P. Viswanath B. Arjun |
| author_facet | R. Geetha Ramani P. Viswanath B. Arjun |
| author_sort | R. Geetha Ramani |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T20:01:41Z |
| format | Article |
| id | doaj.art-c7f694a8f1b04cacaa30516e7423fcd7 |
| institution | Directory Open Access Journal |
| issn | 1729-8806 1729-8814 |
| language | English |
| last_indexed | 2024-04-12T20:01:41Z |
| publishDate | 2008-11-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | International Journal of Advanced Robotic Systems |
| spelling | doaj.art-c7f694a8f1b04cacaa30516e7423fcd72022-12-22T03:18:31ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88061729-88142008-11-0151Ant Intelligence in Robotic SoccerR. Geetha RamaniP. ViswanathB. ArjunRobotic 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.http://www.intechopen.com/articles/show/title/ant_intelligence_in_robotic_soccer |
| spellingShingle | R. Geetha Ramani P. Viswanath B. Arjun Ant Intelligence in Robotic Soccer International Journal of Advanced Robotic Systems |
| title | Ant Intelligence in Robotic Soccer |
| title_full | Ant Intelligence in Robotic Soccer |
| title_fullStr | Ant Intelligence in Robotic Soccer |
| title_full_unstemmed | Ant Intelligence in Robotic Soccer |
| title_short | Ant Intelligence in Robotic Soccer |
| title_sort | ant intelligence in robotic soccer |
| url | http://www.intechopen.com/articles/show/title/ant_intelligence_in_robotic_soccer |
| work_keys_str_mv | AT rgeetharamani antintelligenceinroboticsoccer AT pviswanath antintelligenceinroboticsoccer AT barjun antintelligenceinroboticsoccer |