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SFI Working Paper Abstract

1998

Title:

Discrete Dynamical Networks and Their Attractor Basins

Author(s):

Andrew Wuensche

Files:[gzipped postscript] [postscript]  
Paper #:

98-11-101

Abstract:

A key notion in the study of network dynamics is that state-space is connected into basins of attraction. Convergence in attractor basins correlates with order-complexity-chaos measures on space-time patterns. A network's "memory," its ability to categorize, is provided by the configuration of its separate basins, trees, and sub-trees. Based on computer simulations using the software Discrete Dynamics Lab, this paper provides an overview of recent work describing some of the issues, methods, measures, results, applications and conjectures.