Brain Function and Adaptive Systems: A Heterostatic Theory

Abstract

A new theory of intelligent adaptive systems is proposed. The theory provides a single unifying framework within which the neurophysiological, psychological, and sociological properties of living adaptive systems can be understood. Furthermore, the theory offers a new basis for the synthesis of machines possessing adaptive intelligence. The proposed theory is of a heterostatic type. That is to say, it is a theory which assumes that living adaptive systems seek, as their primary goal, a maximal condition (heterostasis) , rather than assuming that the primary goal is a steadystate condition (homeostasis). It is further assumed that the heterostatic nature of animals, including man, derives from the heterostatic nature of neurons. The postulate that the neuron is a heterostat (that is, a maximizer) is a generalization of a more specific postulate, namely, that the neuron is a hedonist. This latter postulate is interpreted strictly in terms of physical variables, yielding the heterostatic neuronal model that is the basis for the detailed development of the theory.

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Document Details

Document Type
Technical Report
Publication Date
Mar 03, 1972
Accession Number
AD0742259

Entities

People

  • A. H. Klopf

Organizations

  • Air Force Cambridge Research Laboratories

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Adaptive Systems
  • Air Force
  • Artificial Intelligence
  • Brain
  • Central Nervous System
  • Cerebral Cortex
  • Computer Programming
  • Computers
  • Epilepsy
  • Human Behavior
  • Information Processing
  • Nervous System
  • Neural Pathways
  • Neurons
  • Neurosciences
  • Psychology
  • United States

Readers

  • Mathematical Modeling and Probability Theory.
  • Neuroscience
  • Theoretical Analysis.