Using Human-Agent Teams to Purposefully Design Multi-Agent Systems

Teams in Multi-Agent Systems

Multi-agent systems involve agents interacting with each other and the environment and working to achieve individual and group goals. The achievement of group goals requires that agents work together within teams. In this paper we first introduce three philosophical approaches that result from different answers to two key questions. Secondly we consider three theoretical frameworks for modellin...

مدلسازی احساسات در سیستمهای multi-agent یادگیرنده

این پایان نامه به بررسی نقش مثبت یا منفی احساسات روی کارایی عامل های یادگیرنده در یک محیط multi-agent می پردازد. در این راستا مدلی برای عامل های یادگیرنده دارای احساس معرفی می شود. برای بررسی نقش احساسات، یک محیط فرضی multi-agent شبیه سازی شده و حالت های گوناگونی در آن نظر گرفته می شوند. در حالت نخست، کارایی عامل هایی بررسی می شود که دارای احساس نیستند و فقط قابلیت یادگیری دارند. در دومین حالت...

Human-Robot Cooperation Using Multi-Agent-Systems

In this paper an new intelligent robot control scheme is presented which enables a cooperative work of humans and robots through direct contact interaction in a partially known environment. Because of the high flexibility and adaptability, the human-robot cooperation is expected to have a wide range of applications in uncertain environments, not only in future construction and manufacturing ind...

Using Learning to Improve Multi-Agent Systems for Design

Multi Agent Systems of Multi Agent Systems

Current business trends, policy markets, production requirements, etc., have created the need for integrating Multi Agent Systems (MAS). In the agent-specialized literature, we have found very little work about MAS methodologies that allow us to build MAS which is made up of two or more MASs. We think that several difficult challenges for automated systems can be tackled by giving full meaning ...