LLU

Multiagent Systems

Total Hours in Course81

Number of hours for lectures16

Number of hours for seminars and practical classes16

Independent study hours49

Date of course confirmation19.10.2011

Responsible UnitInstitute of Computer Systems and Data Science

Course developer

prof.

Vitālijs Osadčuks

Dr. sc. ing.

Course abstract

Course consists of theoretical part with a successive theory in multiagent systems and practical part, where students learn basics of modeling multiagent systems using the most popular freely available tools. In the first lectures of the course multiagent systems are described in general, introduction to intelligent agents, distributed problem solving approach and game theory is given. In successive lectures planning of multiagent system operation, agent communication, decision making and learning are discussed in detail.

Learning outcomes and their assessment

• knowledge about intelligent agents and architecture, organization and application of multiagent systems;
• skills to use multiagent systems development and simulation environments NetLogo and AgentSheet, as well as to be able to learn other similar tools;
• competence to identify use cases of multiagent systems and to know how to apply them in the problems of own research topic.

Compulsory reading

1. Shoham Y., Leyton-Brown K. Multiagent systems: Algorithmic, Game-Theoretic, and Logical Foundations. : Cambridge University Press, 2009.
2. Wooldridge M. An Introduction to multiagent systems. John Wiley&Sons ISBN 047149691X, 2002, 340 p.
3. Weiss G. Multiagent Systems: A Modern Approach to Distributed Modern Approach to Artificial Intelligence. London: The MIT Press, 1999.

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