부산대학교 도서관

This paper addresses the problem of coordinating a group of agents involved in a team. To achieve flexible teamwork, agents should synchronize their work and monitor their performance to avoid redundant work. Generalized Partial Global Planning (GPGP) is one of the most common techniques used in coordinating cooperative agents, however, no technique is without limitations. Our work adopts some concepts of STEAM to overcome some of GPGP limitations. In particular, we suggest adding coordination mechanisms to GPGP and extending TAEMS, the model underlying GPGP, to facilitate such mechanisms. The work has successfully been implemented using JAF architecture. The coordination mechanisms are written as Soar rules where we implemented a JAF component that implements the Soar engine. Analysis of a case study is presented along with experimental results to illustrate the power of the proposed work.