Econ 308. Agent-Based Computational Economics

• Credits: 3.
• Prerequisites: 101.

Computational study of economies as evolving systems of autonomous interacting agents. Key ideas from game theory and complex adaptive systems theory for modeling the adaptation, learning, and co-evolution of economic agents in decentralized market economies. Evolution of behavioral norms and interaction networks. Building agent-based computational laboratories for the experimental study of market protocols and agent learning processes. Illustrative economic applications (e.g., financial markets, labor markets, agricultural markets, electricity markets, auction markets, automated Internet markets, collective usage of common-pool resources). Nonmajor graduate credit.