Case-Based Policy and Goal Recognition

Abstract

We present the Policy and Goal Recognizer (PaGR), a case-based system for multiagent keyhole recognition. PaGR is a knowledge recognition component within a decision-making agent that controls simulated unmanned air vehicles in Beyond Visual Range combat. PaGR stores in a case the goal, observations, and policy of a hostile aircraft, and uses cases to recognize the policies and goals of newly-observed hostile aircraft. In our empirical study of PaGR's performance, we report evidence that knowledge of an adversary's goal improves policy recognition. We also show that PaGR can recognize when its assumptions about the hostile agent's goal are incorrect, and can often correct these assumptions. We show that this ability improves PaGR's policy recognition performance in comparison to a baseline algorithm.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 30, 2015
Accession Number
AD1001619

Entities

People

  • David W. Aha
  • Hayley Borck
  • Justin Karneeb
  • Michael W. Floyd
  • Ron Alford

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Aircrafts
  • Algorithms
  • Artificial Intelligence
  • Combat Operations
  • Environment
  • Equations
  • Multiagent Systems
  • Observation
  • Probability
  • Probability Distributions
  • Reasoning
  • Recognition
  • Simulations
  • Simulators
  • Unmanned Aerial Vehicles
  • Vehicles

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Modeling and Simulation

Technology Areas

  • Autonomy