Course No.：S070105ZY004
Course Category：Professional Course
Period/Credits：40/2
Aims & Requirements：
This course is a professional course for Master and Ph.D students from Systems Theory disciplines, and is also a elective course for postgraduate students in the field of complex systems. Multi-agent system theory has a wide range of application backgrounds, which reflecting the main features of complex systems. Multi-agent system modeling has become the main modeling method for complex systems. Multi-agent system involves almost all the natural sciences, and even the basis of economic and social scientific research, which is the most important research area of complex systems. However, the research of multi-agent systems is still at an immature stage, there is no unified and mature theoretical system, and there is no systematic authority textbook international. This course will be based on the research and development at the time, and will modify and reinforce the latest research timely. Through this course, students can: 1) study the characteristics of multi-agent system, learn how to create a multi-agent system model through examples; 2) aware and understand the collective behavior of multi-agent system, grasp some tools and methods of collective behavior analysis, including computer simulation methods.
Primary Coverage：
Section 1: The basic concepts and methods of multi-agent system
The characteristics of individual systems, the concept of collective behavior, computer simulation (NetLogo), Statistical Physics.
Section 2: Networked Systems
Basic knowledge of complex networks (small world model, scale-free network, etc.), the theory and methods of network dynamics.
Section 3: Dynamic Network System
Vicsek model and its synchronization analysis, the design of distributed systems, intervention of the collective behavior.
Section 4: adaptability
Adaptive control, complex adaptive systems, genetic algorithms, cellular automata and artificial life.
Section 5: Game Theory
The basis of game theory, iterated prisoner’s dilemma with multi-people.
Author：Jing Han, Zhixin Liu, Jinhu Lv (Academy of Mathematics and Systems Science)
Date：June, 2010
