Complex Systems: From Biology to Computation

Front Cover
IOS Press, 1993 - Science - 376 pages
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Although the fields of synergetics and co-operative behaviour in neural systems are far from new, the last few years have seen an extraordinary growth of interest in many areas of complex systems. From ecology to economics, from particle physics to parallel computing, a new vocabulary is emerging to describe discoveries about wide-ranging and fundamental phenomena. Many of the terms have already become familiar: artificial life, biocomplexity, cellular automata, chaos, criticality, fractals, learning systems, neural networks, non-linear dynamics, parallel computation, percolation, self-organization and many more. Together they point to the emergence of new paradigms, cutting across traditional disciplines, for dealing with complex systems.
 

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Contents

The Emergence of Connectivity and Fractal Time in the Evolution of Random
12
The WaveCluster Model of WaterProtein Interactions
36
Pattern Formation in Physical and Biological Growth
55
Complex Behaviours from Interaction
69
Methodological Issues Within a Framework to Support a Class of ArtificialLife
82
Computation in Inhomogeneous Cellular Automata
97
Interactive Evolution of LSystem Grammars for Computer Graphics Modelling
118
The Effect of Permeability Heterogeneity on Viscous Fingers in Porous Media
131
An Alternative Approach to Knowledge Elicitation
232
A SelfOrganising Load Balancing System
242
Central Fusion of Sensor Information using Reasoned Feedback
248
Reduction of Modelling Error of Complex Biosystems by an AI Approach
260
Parallel and Emergent Computation
270
Parallel Algorithms for the Distance Embedding Problem
288
Convergence of Symmetric Shunting Competitive Neural Networks
301
The Evolution of Learning Algorithms for Artificial Neural Networks
313

From ?Expansions to Chaos and Fractals
153
The Seduction and Reduction of NonLinear Models
173
Steps to an Ecology of Form
181
Fractal Computer Image Analysis of Particle Morphology
193
Information and Control Systems
209
Complexity in C3I Systems
223
Self Annealing When Learning a Markov Random Field Image Model
327
External Inputs to Attractor Neural Networks
341
A Computer Simulation of Plasticity in the Primary Motor Cortex
351
Neural Dynamics in Biological Visual Information Processing
361
Author Index
373
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