Chaos in Coupled Optimizers

1 July 1987

journal article
research article
Published by Wiley in Annals of the New York Academy of Sciences

Vol. 504 (1 Perspect) , 229-240
https://doi.org/10.1111/j.1749-6632.1987.tb48735.x

Abstract

Autonomous optimizers, a subclass of dynamical systems, arise on the intersection between artificial intelligence and deductive biology. Two simple optimizers coupled symmetrically à la Rashevsky give rise to chaotic attractors and (possibly) cloud attractors. More complicated autonomous optimizers (endowed with internal simulation) will be subject to more complicated interactional function changes. Humanistic ideas of Mead and Bateson may come within scientific reach. Conversely, the physical measurement problem may turn out to belong partly to the humanities.

Keywords

This publication has 14 references indexed in Scilit:

A new class of integrable systems and its relation to solitons
Annals of Physics, 1986
An Artificial Cognitive-plus-Motivational System
Published by Elsevier ,1981
An artificial cognitive map system
Biosystems, 1981
An equation for hyperchaos
Physics Letters A, 1979
SENSITIVE DEPENDENCE ON INITIAL CONDITION AND TURBULENT BEHAVIOR OF DYNAMICAL SYSTEMS
Annals of the New York Academy of Sciences, 1979
Deductive biology—some cautious steps
Bulletin of Mathematical Biology, 1978
Optimization Theory in Evolution
Annual Review of Ecology and Systematics, 1978
Chaos in abstract kinetics: Two prototypes
Bulletin of Mathematical Biology, 1977
Prescriptive relational biology and bacterial chemotaxis
Journal of Theoretical Biology, 1976
APPETITES AND AVERSIONS AS CONSTITUENTS OF INSTINCTS
The Biological Bulletin, 1918