Optimization in Multi-Agent Systems
author: Alessandro Farinelli, Department of Computer Science, University of Verona
author: Sarvapali D. Ramchurn, School of Electronics and Computer Science, University of Southampton
author: Pedro Meseguer, Artificial Intelligence Research Institute - IIIA, Spanish National Research Council - CSIC
author: Juan A. Rodriguez-Aguilar, Artificial Intelligence Research Institute - IIIA, Spanish National Research Council - CSIC
published: Aug. 23, 2011, recorded: July 2011, views: 12293
Report a problem or upload filesIf you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Watch videos: (click on thumbnail to launch)
The number of novel applications of multi-agent systems has followed an exponential trend over the last few years, ranging from online auction design, through in multi-sensor networks, to scheduling of tasks in multi-actor systems. Multi-agent systems designed for all these applications generally require some form of optimisation in order to achieve their goal. This tutorial will present state of the art solution techniques for optimisation problems in different areas of multi-agent systems, particularly focusing on market based resource allocation, coalition formation and cooperative decentralised decision making. Moreover, open questionsand promising future research directions will be highlighted. The potential targets are PhD students and researchers who have a basic background on AI techniques for optimisation and are interested in the field of Multi-Agent Systems, or conversely that have been working on multi-agent systems and want to learn more about optimisation techniques that could be applied in this field.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !