Game Theoretical Algorithms for Intelligent Networking

Abstract

This final tech report describes progress on the development of powerful new models and algorithms for very large scale games and economic problems with rich network structure. The report provides a brief synopsis of the main findings, along with pointers to relevant published papers. This effort developed a general distributed algorithm for efficiently computing approximate Nash equilibrium in large games on networks. The effort also examined the properties and computation of correlated equilibria (a powerful generalization of Nash equilibria) in large games on networks.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2005
Accession Number
ADA437821

Entities

People

  • Lizmarie Comenencia Ortiz
  • Michael Kerns
  • Sham Kakade

Organizations

  • University of Pennsylvania

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Air Force Research Laboratories
  • Algorithms
  • Classification
  • Computations
  • Game Theory
  • Information Operations
  • Military Research
  • New York
  • Security

Fields of Study

  • Economics

Readers

  • Business Analytics
  • Game Theory.
  • Parallel and Distributed Computing.