Goal Reasoning for an Autonomous Squad Member

Abstract

Autonomous agents are beginning to play larger roles within team-oriented tasks and missions in various domains. Many reasoning agents are designed to perform in or assist with a single, static goal or task within an environment. Our aim is to design and develop an autonomous squad member that assists a squad with conducting a surveillance mission by identifying and reacting dynamically to changing situations and goals. We present a goal reasoning system for this agent that integrates natural language processing, explanation generation, and plan recognition components to recognize these changing situations and the squad's responses to them. Our system uses goal selection and plan generation to respond to such changes. We describe the architecture we use to integrate these components and provide a case study that demonstrates how they work together to make a robust and adaptive autonomous agent.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2015
Accession Number
ADA621708

Entities

People

  • David W. Aha
  • Kellen Gillespie
  • Matthew Molineaux
  • Michael W. Floyd
  • Swaroop S. Wattam

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Agents
  • Autonomous Systems
  • Case Studies
  • Demographic Cohorts
  • Environment
  • Language
  • Military Research
  • Multiagent Systems
  • Natural Language Processing
  • Natural Language Understanding
  • Natural Languages
  • Reasoning
  • Recognition
  • Sniper Rifles
  • Software Testing
  • Unmanned Systems

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Military Science and Technology Research and Modernization.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems