An Investigation of the Impact of Communication Strategies on the Cooperative Behavior of Multiple, Cooperating Autonomous Underwater Vehicles. Phase 1

Abstract

Autonomous Underwater Vehicles (AUVs) hold great promise for use in ocean science and engineering, environmental monitoring, commercial endeavors, and law enforcement and military applications. However, much research remains to be done before AUVs fulfill their promise. Among the many areas which could be targeted for research, we consider the development of multiple cooperating AUV systems to be one of the most important. This paper reports the results of a pilot study aimed at shedding some light on issues related to communication between multiple cooperative AUVs. We were initially concerned with ways to reduce the impact of the inherent uncertainty present in the domain on communication and cooperative problem solving. We began developing a framework for utilizing situation specific schemas representing communication strategies to control communication. While considering the effect of noise and partial knowledge on communication, our attention was drawn to the inadequacy of intention-based communication methods for our domain. Consequently, we began to look at methods of utilizing stereotypical knowledge structures to reduce uncertainty and we have begun to look at ways to interpret a message's content based on the needs of the receiver, not the inferred intentions of the sender. (RH)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1990
Accession Number
ADA229389

Entities

People

  • D. R. Blidberg
  • Roy M. Turner

Organizations

  • University of New Hampshire

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Autonomous Systems
  • Autonomous Underwater Vehicles
  • Cameras
  • Cognitive Science
  • Collision Avoidance
  • Communication Channels
  • Computer Programs
  • Computer Science
  • Computers
  • Environmental Monitoring
  • Information Exchange
  • Lisp Programming Language
  • Organizational Structure
  • Psychology
  • Systems Engineering
  • Underwater Vehicles

Readers

  • Computer Networking
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy