Computational Economics, Algorithmic Game Theory, and Strategic Decision-Making

This thrust explores the interface between computer science and economics, focusing on how computational systems interact with agents in large-scale networks and marketplaces. Research includes algorithmic game theory, mechanism design, decentralized decision-making, approximation algorithms, and economic aspects of networked and distributed systems. These methods have broad applications in online markets, financial networks, resource allocation, and multi-agent systems. Representative topics include:

  • Algorithmic game theory
  • Mechanism design
  • Strategic agents in networks
  • Economics of distributed systems
  • Approximation and optimization algorithms
  • Computational finance and financial networks

 

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