BSRCA: Biological sequence analysis approach to robotic soccer with cellular automata classifier

• Main Authors: P., Kiran Sree, I., Ramesh Babu, N.S.S.S.N, Usha Devi
• Format: Conference or Workshop Item
• Language: English
• Published: 2008
• Subjects: QA76 Computer software
• Online Access: http://repo.uum.edu.my/11268/1/25-34-CR40.pdf; http://repo.uum.edu.my/11268/; http://www.kmice.uum.edu.my
• Institution: Universiti Utara Malaysia

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.