Ten Problems in Artificial Intelligence.

Abstract

Researchers in Artificial Intelligence have had a difficult time defining the field's goals and assessing its progress. Some have focused on the task of modelling the human brain, others have focused on developing smart machines independent of the constraints of psychological or neurological realism. Over the years the notion of what is an AI task has changed, as problems once thought to be easy have turned out to be hard, and vice versa. This paper discusses some problems that are currently of interest to the field, and places them in the context of a more enduring question: What is intelligence? It attempts to enumerate a few essential aspects of intelligence that every human, animal or intelligent machine must, to some degree, exhibit.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1987
Accession Number
ADA183552

Entities

People

  • Christopher C. Owens
  • Roger Schank

Organizations

  • Yale University

Tags

Communities of Interest

  • Autonomy
  • Biomedical
  • C4I
  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Cognition
  • Cognitive Science
  • Computer Programs
  • Computer Science
  • Computer Vision
  • Decoding
  • Electrical Engineering
  • Engineering
  • Information Processing
  • Language
  • Mental Processes
  • Military Research
  • Natural Languages
  • New York
  • Psychology
  • Reasoning

Readers

  • Neural Network Machine Learning.
  • Strategic Security Studies
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy