Introducing Actions into Qualitative Simulation

Abstract

Many potential uses of qualitative physics, such as robot planning and intelligent computer-aided engineering, require integrating physics with actions taken by agents. This paper proposes to augment qualitative simulation to include the effects of actions to form action-augmented envisionments. The action-augmented envisionment incorporates both the effects of an agent's actions and what will happen in the physical world whether or not the agent does something. Consequently, it should provide a richer basis for planning and procedure generation than any previous representation. This paper defines action augmented envisionments and an algorithm for directly computing them, along with an analysis of its complexity and suitability for different kinds of problems. We describe our initial implementation and discuss potential extensions, including incremental algorithms.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1988
Accession Number
ADA466199

Entities

People

  • Ken Forbus

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computer Science
  • Continuity
  • Demographic Cohorts
  • Flow Rate
  • Heat Transmission
  • Military Research
  • Physical Theories
  • Physics
  • Relief Valves
  • Safety Analysis
  • Simulations
  • Standards
  • Switches
  • Transitions
  • Valves

Readers

  • Artificial Intelligence
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control