Task Networks for Controlling Continuous Processes

Abstract

This paper describes an extension to the RAP system task-net semantics and representation language to enable the effective control of continuous processes. The representation addresses the problems of synchronizing plan expansion with events in the world, coping with multiple, non-deterministic task outcomes, and the description of a simple form of clean-up task. It is also pointed out that success and failure need no special place in a task network representation. Success and failure are really messages about the execution system's knowledge and do not explicitly define that systems flow of control.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1994
Accession Number
ADA278683

Entities

People

  • R. J. Firby

Organizations

  • University of Chicago

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Automata
  • Autonomous Navigation
  • Behavior Control
  • Computer Programming
  • Control Systems
  • Control Theory
  • Fungi
  • Language
  • Motion Planning
  • Moving Targets
  • Robot Navigation
  • Robots
  • Semantics
  • Targets

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Parallel and Distributed Computing.
  • Statistical inference.