Multi-Agent Communication and Collaboration
Date
2006-04-24
Authors
Van Aardt, Bradley Justin
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Abstract
Multi-Agent Systems are becoming a popular paradigm for many engineering applications. However, there is still much research to be performed in this fast growing field. In this thesis, the effect of learning in multi-agent systems on communication and
collaboration between agents is investigated. This research focuses on agents learning local cooperative behaviour from a centralised agent, as well as using learning to reduce the amount of communication between agents that use negotiation to achieve their goals.
A simple test problem is formulated in MATLAB. The effect of learning is clearly seen to reduce the amount of communication between agents by up to 50%, while still
maintaining cooperative behaviour. The agents are also demonstrated to learn to a large degree cooperative local behaviour from a central system.
Description
Degree: Master of Science in Engineering
Department: Engineering
Keywords
Multi-agent, communication, collaboration