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.