Interdisciplinary Study on Artificial Intelligence.

Abstract

The interdisciplinary workshop on biological dimensions of artificial intelligence was organized with a very special objective in mind. The objective was to bring together researchers working in a variety of areas directly concerned with intelligence, such as computer modeling of brain processes, experimental neurophysiology, evolutionary programming and adaptability theory, theory modeling and simulation, self-organizing systems, Biophysics of information processing, cognitive science, and traditional artificial intelligence. The objective behind this objective was to provide a vehicle for reviewing and analyzing directions of artificial intelligence from the perspective of the full range of scholarly activities relevant to this field. Some of the specifically stated objectives in the original letter of invitation suggested topics such as learning and adaptation, evolutionary algorithms for adaptive pattern recognition and motor control, the comparison of computer and biological organization, knowledge representation and the comparison of biological and computer memory, the potential role of parallelism and the physical limits of computation, and the significance of recent experimental work on biochemical and molecular switching processes inside neurons.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1983
Accession Number
ADA131359

Entities

People

  • Behram N. Kursunoglu

Organizations

  • University of Miami

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Chemistry
  • Cognition
  • Cognitive Science
  • Computations
  • Computer Programming
  • Computer Science
  • Computers
  • Evolutionary Algorithms
  • Mathematical Analysis
  • Nervous System
  • Pattern Recognition
  • Psychology
  • Self Organizing Systems
  • Systems Biology
  • Systems Engineering

Readers

  • Academic Conference Management
  • Computational Modeling and Simulation
  • Systems Analysis and Design

Technology Areas

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