CENG580 MULTI AGENT SYSTEMS

Course Code:5710580
METU Credit (Theoretical-Laboratory hours/week):3 (3.00 - 0.00)
ECTS Credit:8.0
Department:Computer Engineering
Language of Instruction:English
Level of Study:Graduate
Course Coordinator:Prof.Dr. FARUK POLAT
Offered Semester:Fall or Spring Semesters.

Course Objectives

 

To develop the theory and practice of multiagent systems

 


Course Content

Concurrency and distribution in AI: Agents: micro and macro views. Agent communication languages. Rational agency: economic/game theoretic, logical. BDI architecture. Multi-agent real-time search. Reinforcement learning. Multi-agent learning. Opponent modeling.


Course Learning Outcomes

Ability to model intelligent behaviour in distributed manner. Students will be able to design autonomous agents and multiagent systems meeting requirements of cooperative and competitive behavior.