Prisoner Dilemma Game on Complex Networks
Project Description

The prisoner dilemma game is generalized in two aspects in the multi-agent system framework
(1) Agents have memory
(2) The interaction between agents are defined on a social network

Supervisor
SZETO Kwok Yip
Quota
4
Course type
UROP1000
UROP1100
UROP2100
UROP3100
UROP4100
Applicant's Roles

Applicant is expected to know how to do numerical simulation and has some background in statistical physics.

Applicant's Learning Objectives

Data analysis and analytical calculation using mean field theory will be conducted.

1 To learn Monte Carlo simulation of spin system
2 To learn mean field application and some mathematical work on network analysis

Complexity of the project involves

1 Various realistic imitation process in agents
2 Dynamics of the pattern evolution

Complexity of the project
Challenging