Priority Extraction Using Delayed Rewards in Multi Agents Systems : A Case Study in RoboCup
عنوان مقاله: Priority Extraction Using Delayed Rewards in Multi Agents Systems : A Case Study in RoboCup
شناسه ملی مقاله: ACCSI11_270
منتشر شده در یازدهمین کنفرانس سالانه انجمن کامپیوتر ایران در سال 1384
شناسه ملی مقاله: ACCSI11_270
منتشر شده در یازدهمین کنفرانس سالانه انجمن کامپیوتر ایران در سال 1384
مشخصات نویسندگان مقاله:
Hamed Shahbazi - Computer Engineering Department University of IsfahanIsfahan ۸۱۷۴۵, Iran
Reza Zafarani
خلاصه مقاله:
Hamed Shahbazi - Computer Engineering Department University of IsfahanIsfahan ۸۱۷۴۵, Iran
Reza Zafarani
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.
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/127359/