Citation:
S. Marsella, J. Adibi, Y. Alonaizan, A. Erdem, R. Hill, Gal Kaminka, Milind Tambe, and Q Zhun. 1998. “Using an Explicit Teamwork Model and Learning in RoboCup: An Extended Abstract RoboCup 98.” In Second robot world cup competition and conferences. Springer Verlag.
Abstract:
duction The RoboCup research initiative has established synthetic and robotic soccer as testbeds for pursuing research challenges in Articial Intelligence and robotics This extended abstract focuses on teamwork and learning two of the multi agent research challenges highlighted in RoboCup To address the challenge of teamwork we discuss the use of a domainindependent explicit model of team work and an explicit representation of team plans and goals We also discuss the application of agent learning in RoboCup The vehicle for our research investigations in RoboCup is ISIS ISI Synthetic a team of synthetic soccerplayers that successfully participated in the simula tion league of RoboCup by winning the third place prize in that tournament In this position paper we brie y overview the ISIS agent architecture and our investigations of the issues of teamwork and learning The key novel issues for our team in RoboCup will be a further investigation of agent learning and further analysis of teamwork related issuesSee also: 1998