Appeared in the proceedings of
Complex Systems '98, University of New South Wales, Sydney, Australia.
The paper is also published in the online
journal
COMPLEXITY INTERNATIONAL.
Also available in
PostScript /
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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.
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