Stochastic Dynamic Games of Asymmetric Information: A Common Information Approach

Abstract

The objective of this project is to study and analyze stochastic dynamic games where the participating strategic agents have asymmetric information, that is, they have different information about the games status at each time instant. These games model strategic interactions among autonomous agents operating in uncertain dynamic environments and making decisions based on locally acquired incomplete information. Such scenarios arise in a range of military and security related applications including operations involving autonomous systems in the presence of adversarial agents, communication of sensitive information in the presence of jamming or eavesdropping agents, security of computer and communication networks, strategic arms negotiations,transportation networks, energy markets etc. Our main focus is on finding the structure of equilibrium decision strategies in games of asymmetric information and enabling efficient computation of equilibrium strategies and performance in such games.

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Document Details

Document Type
Technical Report
Publication Date
Oct 09, 2021
Accession Number
AD1200679

Entities

People

  • Ashutosh Nayyar

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Automatic
  • Autonomous Agents
  • California
  • Communication Networks
  • Computations
  • Congestion
  • Contracts
  • Decision Theory
  • Decomposition
  • Electricity
  • Energy Systems
  • Flow Network
  • Game Theory
  • Governments
  • Information Operations
  • Learning
  • Markov Processes
  • Motivation
  • Networks
  • Optimization
  • Probability
  • Random Variables
  • Social Welfare
  • Students
  • Universities

Fields of Study

  • Economics

Readers

  • Distributed Systems and Data Platform Development
  • Game Theory.
  • Strategic Security Studies

Technology Areas

  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction