Abstract
This paper presents the application of a novel method in the multi-agent teamwork field called Scenario-based Teamworking (SBT). In SBT method a team of cooperative intelligent agents could be able to execute complex plans in nondeterministic, adversary, and dynamic environments which communication cost is high. The base idea of this method is to define Scenario for different situations. With a graph of scenarios, a team of agents can execute, learn, adapt, and create team plans automatically. This method has implemented in a soccer team of intelligent agents (players and coach) and evaluated in the standard RoboCup simulator environment [1] and results show a significant improvement.
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© 2004 Springer-Verlag Berlin Heidelberg
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Rad, A.A., Qaragozlou, N., Zaheri, M. (2004). Scenario-Based Teamworking, How to Learn, Create, and Teach Complex Plans?. In: Polani, D., Browning, B., Bonarini, A., Yoshida, K. (eds) RoboCup 2003: Robot Soccer World Cup VII. RoboCup 2003. Lecture Notes in Computer Science(), vol 3020. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25940-4_12
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DOI: https://doi.org/10.1007/978-3-540-25940-4_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22443-3
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