Effects of Dynamic Goals on Agent Performance

Abstract

This research investigates how different categories of goalsaffect autonomous change detection in a dynamic environment. In order to accomplish this goal, a set of autonomous agents were developed to perform within an environment with multiple possible goals. The agents perform the environmental task while monitoring for goal changes. The experiment tests the agents over a range of goal changes to determine how detection performance is affected by the different categories of goals. Results show that detection is highly dependent on what goal is being switch to and from. The point similarity between goals is the most significant factor in evaluating the change detection time. An additional experiment improved upon the goal agent and demonstrated the importance of having the proper perception mechanics for feedback within the environment.

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Document Details

Document Type
Technical Report
Publication Date
May 24, 2018
Accession Number
AD1056339

Entities

People

  • Nathan R. Ball

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Change Detection
  • Computer Programs
  • Computers
  • Department Of Defense
  • Experimental Design
  • Governments
  • Information Science
  • Operating Systems
  • Predictive Modeling
  • Psychology
  • Reinforcement Learning
  • Situational Awareness
  • Statistical Analysis
  • Tablet Computers
  • United States Government
  • Video Games

Readers

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