Applying Goal Driven Autonomy to a Team Shooter Game

Abstract

Dynamic changes in complex, real-time environments, such as modern video games, can violate an agent's expectations. We describe a system that responds competently to such violations by changing its own goals, using an algorithm based on a conceptual model for goal driven autonomy. We describe this model, clarify when such behavior is beneficial, and describe our system (which employs an HTN planner) in terms of how it partially instantiates and diverges from this model. Finally, we describe a pilot evaluation of its performance for controlling agent behavior in a team shooter game. We claim that the ability to self-select goals can, under some conditions, improve plan execution performance in a dynamic environment.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2010
Accession Number
ADA588433

Entities

People

  • David W. Aha
  • Hector Munoz-avila
  • Matthew Klenk
  • Matthew Molineaux
  • Ulit Jaidee

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy
  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Application Software
  • Artificial Intelligence
  • Autonomy
  • Case Studies
  • Computer Programs
  • Computer Science
  • Computers
  • Contingency Operations (Military)
  • Demographic Cohorts
  • Detection
  • Engineering
  • Environment
  • Military Research
  • Navy
  • Test And Evaluation
  • Warfare

Fields of Study

  • Computer science

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Neural Network Machine Learning.
  • Systems Analysis and Design