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


Advanced Search

Browse

My Account

Statistics