A Task Domain for Combining and Evaluating Robotics and Cognitive Modeling Techniques

Abstract

Building systems that integrate different artificial intelligence techniques to achieve a higher level of total intelligence is very difficult. In order to build integrated systems, simplifying assumptions or abstractions are usually made when working in a specific domain. As a result of these assumptions and abstractions, the proper evaluation of integrated artificial intelligence techniques can be quite challenging. We suggest that the domain of hide and seek is a particularly well-suited task for integrating robotics and higher-level reasoning mechanisms such as computational cognitive modeling. Three different instantiations of integrated systems in the "hide and seek" domain, which combine cognitive-level algorithms with lower level algorithms for perception and navigation are discussed.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2002
Accession Number
ADA516081

Entities

People

  • Alan C. Schultz
  • J. Gregory Trafton
  • Magdalena D. Bugajska
  • Nicholas L. Cassimatis
  • William Adams

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Artificial Intelligence
  • Autonomous Navigation
  • Collision Avoidance
  • Control Systems
  • Human-Robot Interaction
  • Integrated Systems
  • Intelligent Systems
  • Micro Air Vehicles
  • Motion Planning
  • Navigation
  • Ontologies
  • Perception
  • Reasoning
  • Robotics
  • Robots

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Distributed Systems and Data Platform Development

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control