Generation of Strategies for Environmental Deception in Two-Player Normal-Form Games

Abstract

Methods of performing and defending against deceptive actions are a popular field of study in game theory; however, the focus is mostly on action deception in turn-based games. This work focuses on developing strategies for performing environmental deception in two-player, strategic-form games. Environmental deception is defined as deception where one player has the ability to change the other???s perception of the state of the game through modification of their perception of the game???s payoff matrix, similar to the use of camouflage. The main contributions of this research are an expansion of the definition of the stability of a Nash equilibrium to include cells outside the equilibrium, and the creation of four algorithms for developing strategies for environmental deception, including closed-form solutions for the creation of a 3x3 deceptive game with a 2x2 mixed-strategy Nash equilibrium (MSNE) that benefits the deceiver from a 3x3 game containing a 2x2 MSNE. It is found that the value gain produced by a deceptive algorithm is dependent upon the type of game to which it is applied and the maximum amount of allowable change to the payoff matrix emphasizing the importance of carefully selecting an algorithm to match the situation to which it is applied.

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Document Details

Document Type
Technical Report
Publication Date
Jun 18, 2015
Accession Number
ADA623164

Entities

People

  • Howard E. Poston Iii

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Cyber
  • Human Systems
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Cooperative Games
  • Deception
  • Demographic Cohorts
  • Department Of Defense
  • Education
  • Equations
  • Game Theory
  • Governments
  • Information Operations
  • Literature Surveys
  • Perception
  • Probability
  • Training
  • United States
  • United States Government

Readers

  • Game Theory.
  • Military History / Militaries and War Studies
  • Sensor Fusion and Tracking Systems.