Year-end Sale % OFF 
Abstract
Evaluation of performance and efficiency is an important ingredient for any system design. A system can be comprised many components. Components can be hardware or software. Each component needs technical support to have proper cooperation among them. Cooperation can be better provided if they have autonomy, reasoning, proactivity, mobility and capability of learning. These qualities are inherent for Agents. Software Agents can cooperate, coordinate and negotiate much better than the way we cooperate, coordinate and negotiate with each other. So it is obvious that the system designed with the cooperation of multiple Agents i.e. Multi Agent System can produce higher throughput than most of the other existing systems .So the aim of the present work is to analyze and make a relationship between multiple Agent properties like proactivity, learning, reasoning, mobility, etc. and finally proposing an efficient algorithm to calculate the efficiency of Agents based on their properties and make them to work simultaneously in a multi Agent environment, for satisfying several goals.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
