Prisoner's Dilemma in Dynamic Network Topologies: Agent-Based Simulation Framework
An agent-based simulation framework that explores the Prisoner’s Dilemma on dynamic networks. Agents learn by imitating successful neighbors (Fermi Rule), adapt network connections, and face survival challenges based on economic success. Integrates memory-one strategies, wealth distribution, and network topology evolution to study cooperation emergence.