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Genetic Algorithm Based Selection of Trustworthy Agent for Task Delegation in a Multi-Agent System

عنوان مقاله: Genetic Algorithm Based Selection of Trustworthy Agent for Task Delegation in a Multi-Agent System
شناسه ملی مقاله: IRANWEB02_013
منتشر شده در دومین کنفرانس بین المللی وب پژوهی در سال 1395
مشخصات نویسندگان مقاله:

Sanjay Yedey - P. G. Department of Computer Science and TechnologyDegree College of Physical Education, HVPM,Amravati, India.
Vinay Chavan - Department of Computer Science Seth Kesarimal Porwal College, Kamptee-Nagpur, India.

خلاصه مقاله:
In a Multi-Agent System a number of software agents work together via cooperation and collaboration. Each agent is having its own goal, however, sometimes multiple agents in a MAS may have conflicting goals. Such agents compete with each other for being selected for offering the service to client. In such situation the most trustworthy agent is selected for task delegation.In this paper the selection of most trustworthy agent based on genetic algorithm is discussed.

کلمات کلیدی:
Index Terms—Agent, Multi-Agent System, Trust, Delegation, Genetic Algorithm

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/481657/