Providing an overview of the basic principles of multiagent paradigm. Acquainting students with formal approaches to multiagent system specification, knowledge representation, behaviour modeling and interagent communication in order to solve problems related to distributed artificial inteligence.
Learning Outcomes

•     Discuss the notions of the intelligent agent and multi-agent system
•     Distinguish basic categories of agents and multi-agent systems
•     Identify the basic application areas of intelligent agents and multi-agent systems
•     Apply basic multi-agent paradigms to the real world problem solving
•     Employ the basics of the game theory to formulate and solve multi-agent problems
•     Construct simple but functional multi-agent systems

Type of methodology: Combination of lecture and hands-on

Paid training activity for participants: Yes, for some only

Participants prerequisite knowledge: C/C++

Language: English and Croatian