Using a Competitive Approach to Improve Military Simulation Artificial Intelligence Design

Abstract

The research presented in this thesis attempts to show how using a competitive approach to artificial intelligence (AI) design can lead to improvement of the AI solutions used in military simulations. To demonstrate the potential of the competitive approach, ORTS, a real-time strategy game engine, and its competition setup are used. To justify the thesis statement, a set of exploratory experiments are conducted. The experiments represent a tournament of virtual battles between base case AIs and test case AIs. The existing OTRS clients are used as base cases, and the test cases are evolved using the competitive approach to AI design described in this work. The analysis of the results from the tournament proves the advantages of the competitive approach. At the end of the thesis, some conclusions and recommendations for future work are made.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2008
Accession Number
ADA479996

Entities

People

  • Sevdalin Stoykov

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Cyber
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognition
  • Combat Simulations
  • Complex Adaptive Systems
  • Computational Science
  • Computer Programs
  • Computers
  • Differential Equations
  • Experimental Design
  • Mathematical Models
  • Military Applications
  • Military Operations
  • Operations Research
  • Self Organizing Systems
  • Simulations
  • Training
  • Virtual Reality

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Game Theory.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy