A Dialogue-Based Approach to Mixed-Initiative Plan Management

Abstract

This research investigates ways to augment human plan reasoning capabilities in command and control tasks, such as logistics planning, crisis management and situation assessment. The goal was to avoid making the simplifying assumptions made in traditional research in planning that prevented effective human-computer collaborative planning. Specifically, no assumptions were made relative to goals being well specified in the beginning, or that the evaluation criteria can be precisely defined in a quantitative manner. The groundwork was laid for research in mixed-initiative planning through development of TRIPS (The Rochester Interactive Planning System), a robust speech-driven mixed initiative planning system, which has been installed at Global Infotech in Washington DC for the Command Post of the Future (CPOF) jumpstart demonstration as well as at the Air Force Research Lab in Rome, New York. TRIPS runs stand-alone without Rochester researchers present. New Theoretical techniques for speeding up well-founded domain-independent planners were also developed. In addition, simulation and data mining techniques to find improvements to large-scale plans that could not be reasoned about using traditional techniques were developed and demonstrated.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2000
Accession Number
ADA386564

Entities

People

  • George M. Ferguson
  • James F. Allen
  • Lenhart K. Schubert

Organizations

  • University of Rochester

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Automated Speech Recognition
  • Cognitive Science
  • Cognitive Systems Engineering
  • Computational Linguistics
  • Computational Science
  • Computer Languages
  • Computer Science
  • Computers
  • Data Mining
  • Dialogue Systems
  • Information Systems
  • Language
  • Linguistics
  • Military Research
  • Natural Language Processing

Readers

  • Artificial Intelligence
  • Technical Research and Report Writing.

Technology Areas

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