Scenario-Based Teamworking, How to Learn, Create, and Teach Complex Plans?

Ali Ajdari Rad¹, Navid Qaragozlou¹, and Maryam Zaheri²

¹Computer Engineering Faculty, Amirkabir University of Technology, Tehran, Iran
alirad@aut.ac.ir
navidq@aut.ac.ir

²Computer Science Department, University of North Carolina at Charlotte, USA
mzaheri@uncc.edu

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.

LNAI 3020, p. 137 ff.

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