BSRCA: Biological sequence analysis approach to robotic soccer with cellular automata classifier
This paper reports on the application of sequence analysis algorithms for agents in robotic soccer and a suitable representation is proposed to achieve this mapping.The objective of this research is to generate novel better in-game strategies with the aim of faster adaptation to the changing enviro...
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my.uum.repo.112682014-06-05T01:58:52Z http://repo.uum.edu.my/11268/ BSRCA: Biological sequence analysis approach to robotic soccer with cellular automata classifier P., Kiran Sree I., Ramesh Babu N.S.S.S.N, Usha Devi QA76 Computer software This paper reports on the application of sequence analysis algorithms for agents in robotic soccer and a suitable representation is proposed to achieve this mapping.The objective of this research is to generate novel better in-game strategies with the aim of faster adaptation to the changing environment.A homogeneous non-communicating multi-agent architecture using the representation is presented.To achieve real-time learning during a game, a bucket brigade algorithm is used to reinforce Cellular Automata Based Classifier. A technique for selecting strategies based on sequence analysis is adopted. 2008-06-10 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/11268/1/25-34-CR40.pdf P., Kiran Sree and I., Ramesh Babu and N.S.S.S.N, Usha Devi (2008) BSRCA: Biological sequence analysis approach to robotic soccer with cellular automata classifier. In: Knowledge Management International Conference 2008 (KMICe2008), 10-12 June 2008, Langkawi, Malaysia. http://www.kmice.uum.edu.my |
| institution |
Universiti Utara Malaysia |
| building |
UUM Library |
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Institutional Repository |
| continent |
Asia |
| country |
Malaysia |
| content_provider |
Universiti Utara Malaysia |
| content_source |
UUM Institutionali Repository |
| url_provider |
http://repo.uum.edu.my/ |
| language |
English |
| topic |
QA76 Computer software |
| spellingShingle |
QA76 Computer software P., Kiran Sree I., Ramesh Babu N.S.S.S.N, Usha Devi BSRCA: Biological sequence analysis approach to robotic soccer with cellular automata classifier |
| description |
This paper reports on the application of
sequence analysis algorithms for agents in robotic soccer and a suitable representation is proposed to achieve this mapping.The objective of this research is to generate novel better in-game strategies with the aim of faster adaptation to the changing environment.A homogeneous non-communicating multi-agent architecture using the representation is presented.To achieve real-time learning during a game, a bucket brigade algorithm is used to reinforce Cellular Automata Based Classifier. A technique for selecting strategies based on sequence analysis is adopted. |
| format |
Conference or Workshop Item |
| author |
P., Kiran Sree I., Ramesh Babu N.S.S.S.N, Usha Devi |
| author_facet |
P., Kiran Sree I., Ramesh Babu N.S.S.S.N, Usha Devi |
| author_sort |
P., Kiran Sree |
| title |
BSRCA: Biological sequence analysis approach to robotic soccer with cellular automata classifier |
| title_short |
BSRCA: Biological sequence analysis approach to robotic soccer with cellular automata classifier |
| title_full |
BSRCA: Biological sequence analysis approach to robotic soccer with cellular automata classifier |
| title_fullStr |
BSRCA: Biological sequence analysis approach to robotic soccer with cellular automata classifier |
| title_full_unstemmed |
BSRCA: Biological sequence analysis approach to robotic soccer with cellular automata classifier |
| title_sort |
bsrca: biological sequence analysis approach to robotic soccer with cellular automata classifier |
| publishDate |
2008 |
| url |
http://repo.uum.edu.my/11268/1/25-34-CR40.pdf http://repo.uum.edu.my/11268/ http://www.kmice.uum.edu.my |
| _version_ |
1644280596132790272 |