Cooperative Intelligence for Remotely Piloted Vehicle Fleet Control. Analysis and Simulation

Abstract

Cooperative behavior, by either humans or machines, is necessary for solving problems that, because of time or other physical constraints, cannot be solved by one agent acting alone. Complex, spatially distributed military systems, such as tactical air operations, Naval task force control, and command and control networks frequently rely on cooperative problem solving. This report develops aspects of coordinating groups RPV's in a surveillance mission. The findings suggest that (1) a combination of object-oriented simulation and logic programming appears to provide an effective framework for exploring and implementing distributed problem solving systems, and (2) choice of task negotiation procedure, message passing protocol, planning algorithm, and uncertainty representation technique depends strongly on situational conditions such as time stress, communication costs, and number of planning options.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1986
Accession Number
ADA174506

Entities

People

  • Jeff Rothenberg
  • Randall Steeb
  • Sanjai Narain
  • Stephanie Cammarata
  • William Giuarla

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Biomedical
  • C4I
  • Electronic Warfare
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Cognitive Science
  • Communication Channels
  • Computer Programming
  • Computer Programs
  • Computer Science
  • Computers
  • Detection
  • Detectors
  • Intelligence Collection
  • Military Science
  • Multiple Access
  • Operating Systems
  • Programming Languages
  • Remotely Piloted Vehicles
  • Surveillance

Readers

  • Computational Fluid Dynamics (CFD)
  • Robotics and Automation.
  • Systems Analysis and Design

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control