AI and Mental Imagery

Abstract

Vision and space are prominent modalities in our experiences as humans. We live in a richly visual world, and are constantly and acutely aware of our position in space and our surroundings. In contrast to this seemingly precise awareness, we are also able to reason abstractly, use language, and construct arbitrary hypothetical scenarios In this position paper, we present an AI system we are building to work towards human capability in visual spatial processing. We use mental imagery in processing as our psychological basis and integrate it with symbolic processing. To design this system, we are considering constraints from the natural world (as described by psychology and neuroscience), and those uncovered by AI research. In doing so, we hope to address the gap between abstract reasoning and detailed perception.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2008
Accession Number
ADA486806

Entities

People

  • Samuel Wintermute
  • Scott D. Lathrop

Organizations

  • United States Military Academy

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Artificial Intelligence
  • Computer Vision
  • Data Displays
  • Engineering
  • Environment
  • Information Operations
  • Language
  • Motion Planning
  • Object Recognition
  • Perception
  • Psychology
  • Reasoning
  • Robotics
  • United States
  • United States Military Academy
  • Universities

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computer Vision.
  • Educational Psychology

Technology Areas

  • AI & ML
  • Space