سال انتشار: ۱۳۸۴

محل انتشار: یازدهمین کنفرانس سالانه انجمن کامپیوتر ایران

تعداد صفحات: ۷

نویسنده(ها):

Mohammad Reza Yazdchi – Faculty of Biomedical Engineering AmirKabir University of Technology Tehran, Iran
Seyyed Ali Seyyed Salehi – Faculty of Biomedical Engineering AmirKabir University of Technology Tehran, Iran
Farshad Almasganj – Faculty of Biomedical Engineering AmirKabir University of Technology Tehran, Iran
Reza Zafarani – Computer Engineering Department University of Isfahan Isfahan 81745, Iran

چکیده:

multi – agent systems has generated lots of excitement in re-cent years because of its promise as a new paradigm for conceptualizing designing and implementing software systems. One of the most important aspects of agent design in AI is the way agent acts or responds to the environment that the agent is acting upon. an effective action selection and behavioural method requires a good priority extraction method for finding the best actions . we have introduced an easy way for doing such a thing using delayed rewards. we have also applied the method to the rbocup rescue simulation agents.