Issues and Approaches to Planning under Uncertainty.

Abstract

This project has addressed the use of artificial intelligence (AI) techniques as the foundation for both situation assessment in naval-task-force engagements, and for planning effective combat operations in such engagements. Developing an effective automated planning agent requires progress in a number of areas, including the integration of data received from a wide variety of sensor types dispersed over large geographical areas with other sources of knowledge, and the planning, execution, and monitoring of plans involving dispersed actors with a variety of capabilities. The difficulties associated with these tasks are exacerbated by the fact that the system must operate effectively in situations where the degree of intercommunication between the participants may be severely constrained, implying an inability to rely on centralized command and control. Our work has addressed the following points: Developing a knowledge base of anticipated actions. Characterizing the gross properties of shipborne/airborne sensors. Investigating alternative approaches to planning -- particularly, hierarchical techniques. Developing an inference capability for linking disparate knowledge sources.

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1984
Accession Number
ADA150727

Entities

People

  • J. D. Lowrance
  • T. D. Garvey

Organizations

  • SRI International

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Airborne
  • Artificial Intelligence
  • Combat Operations
  • Command And Control
  • Monitoring
  • Task Forces
  • Uncertainty

Readers

  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Fully Networked C3
  • Fully Networked C3 - Command and Control