Game Theory and Distributed Computing: Bridging the Gap

Title: Game Theory and Distributed Computing: Bridging the Gap

Research Question: How can game theory and distributed computing concepts be used to enhance each other's understanding and applications?

Methodology: The study explores three key areas where game theory and distributed computing can learn from each other: representing games, strategic concerns vs. fault tolerance, and specifying mechanisms. It uses examples and state-space representations to illustrate these points.

Results: The research found that game theory can benefit from the distributed computing's focus on fault tolerance, scalability, and proving correctness of algorithms. On the other hand, distributed computing can learn from game theory's strategic concerns and the representation of players' knowledge and uncertainty.

Implications: This study suggests that by combining the strengths of both fields, researchers can develop more robust and efficient systems for handling complex situations involving multiple agents with different goals and uncertainties. It also highlights the potential for new applications in areas such as network security, resource allocation, and decision-making under uncertainty.

Link to Article: https://arxiv.org/abs/0201016v1 Authors: arXiv ID: 0201016v1