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> Congress / Final Programme / Tutorials / Tut1
Tut1: Applications of Multi-Agent Systems
Room: Marmier
Presenter:
Mihaela Oprea (University of Ploiesti, Romania)
Abstract
Multi-agent systems (MAS) is a key technology that enable the development of systems composed by a set of autonomous agents that are able to interact with one another. The agents share a common environment. They may have a global goal to solve together or they may have their own goals to pursue. The main benefit of MAS technology is the ability to cope with dynamics.
The tutorial will provide answers to the following questions:
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What is a MAS? |
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What are the MAS architectures? |
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What are the properties of a MAS (the functional and the non-functional ones)? |
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How a MAS can be designed? |
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What methodologies are available for the MAS development? |
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What is coordination and how it can be achieved? |
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Which coordination techniques are appropriate for a MAS? |
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What is negotiation and how it can be achieved? |
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What negotiation models can be used in a MAS? |
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How learning can improve the performance of a MAS? |
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What applications are appropriate for a MAS implementation? |
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What public software products are available for MAS implementation? |
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What are the most known and successful MAS implementations? |
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What are the lessons learned from the developed MAS applications? |
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What are the future research directions in the area of MAS implementations? |
The tutorial will start with an introduction to multi-agent systems. The methodology of MAS development will be described and references to different methodologies will be given. As coordination and negotiation are important issues that need to be addressed when designing a MAS, we shall focus on them. A presentation of different types of applications will be made and some case studies will be described in detail (such as e-commerce and virtual enterprises).
The tutorial is self-contained; it assumes only a basic knowledge of Artificial Intelligence concepts. The potential target audience includes students, researchers, teachers, and all the persons that are interested to model and to implement different applications by using the Multi-Agent Systems technology.
Presenter
Dr. Mihaela Oprea is a Full Professor in the Department of Informatics, University of Ploiesti, Romania, where she is teaching courses in Artificial Intelligence since 1995. She received her PhD degree in Computer Science from the University of Ploiesti in 1996, and her MSc degree in Computer Science from the Polytechnic University Bucharest in 1990. Her current research interests include multi-agent systems, machine learning, and expert systems. Dr. Oprea has published more than 50 scientific papers, and as a single author five books, all in the area of Artificial Intelligence. She is a member of the Romanian Society for Informatics and Automatics, the Slovenian Artificial Intelligence Society, and the IASTED Technical Committee on Artificial Intelligence and Expert Systems. Also, she is actively involved as a project manager in several research projects, and she has visited as a research visitor some universities and Artificial Intelligence Research Institutes in UK, Spain, Austria and Sweden.
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