EDISON Project

Abstract

The EDISON project is one of developing computational models of creative reasoning and problem-solving with respect to mechanical devices. The overall approach has been that of representing devices as symbolic structures (i.e. a naive mechanics approach). The focus of our research has been on representational and processing constructs to support the following cognitive tasks: (1) comprehension of natural language text describing mechanical devices, (2) simulation of device behavior through manipulating symbolic representations of device motions, (3) improvisation through adapting one device for use in an alternate domain, and (4) device invention through mutation of device features. These four tasks serve to test the viability of EDISON device representations. In carrying out this research, the project leaders were influenced both by the computational and psychological literature. There are four areas of computational modeling from which the EDISON project has drawn inspiration: 1) Qualitative physics, 2) Natural Language Processing (NLP) for comprehension and invention, 3) Memory Organization for Case-Based Recall, 4) and Automated Discovery.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1989
Accession Number
ADA214724

Entities

People

  • Jack Hodges
  • Margot Flowers
  • Michael G. Dyer

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Computational Science
  • Computer Languages
  • Computer Science
  • Computers
  • Debugging
  • Engineering
  • Information Systems
  • Language
  • Mechanical Engineering
  • Mechanics
  • Natural Language Processing
  • Neural Networks
  • Psychology
  • Reasoning

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Integrated Circuit Design and Technology.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval