Multi-Agent Communication and Collaboration

DSpace/Manakin Repository

Show simple item record

dc.contributor.author Van Aardt, Bradley Justin
dc.date.accessioned 2006-04-24T08:20:51Z
dc.date.available 2006-04-24T08:20:51Z
dc.date.issued 2006-04-24
dc.identifier.uri http://hdl.handle.net/10539/351
dc.description Degree: Master of Science in Engineering Department: Engineering en
dc.description.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. en
dc.format.extent 433057 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.subject Multi-agent en
dc.subject communication en
dc.subject collaboration en
dc.title Multi-Agent Communication and Collaboration en
dc.type Thesis en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search WIReDSpace


Browse

My Account

Statistics