<p>Collective systems, abounding in nature, have evolved by natural selection to exhibit striking problem-solving capacities. Employing simple yet versatile parallel cellular models, coupled with evolutionary computation techniques, this volume explores the issue of constructing man-made systems tha
Evolution of Parallel Cellular Machines. The Cellular Programming Approach
โ Scribed by Moshe Sipper
- Publisher
- Springer
- Year
- 2004
- Tongue
- English
- Leaves
- 201
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Preface......Page 2
Contents......Page 6
Prologue......Page 9
Cellular Automata......Page 11
Genetic Algorithms......Page 20
Introduction......Page 23
Universal 2-State, 5-Neighbor Non-Uuniform CA......Page 24
Reducing the Number of Rules......Page 30
Implementing Universal Machine using Finite Configuration......Page 31
Quasi-Uniform Cellular Space......Page 33
Discussion......Page 35
Introduction......Page 38
The ALife Model......Page 40
Multicellularity......Page 42
Evolution......Page 51
Discussion......Page 74
Introduction......Page 79
Previous Work......Page 81
Cellular Programming Algorithm......Page 85
Results using 1D, r=3 Grids......Page 88
Results using 1D, r=1 Grids......Page 89
Results using 2D, 5-Neighbor Grids......Page 100
Scaling Evolved CAs......Page 102
Discussion......Page 104
Applications of Cellular Programming......Page 107
Ordering Task......Page 108
Rectangle-Boundary Task......Page 111
Thinning Task......Page 113
Random Number Generation......Page 117
Concluding Remarks......Page 123
Introduction......Page 124
Large-Scale Programmable Circuits......Page 126
Implementing Evolware......Page 127
Concluding Remarks......Page 131
Introduction......Page 133
Faults & Damage in Lattice Models......Page 134
Probabilistic Faults in CA......Page 135
Results......Page 136
Concluding Remarks......Page 143
Introduction......Page 145
Architecture Considerations......Page 146
Fixed Architectures......Page 149
Evolving Architectures......Page 152
Evolving Low-Cost Architectures......Page 157
Discussion......Page 158
Concluding Remarks & future Research......Page 162
Growth & Replication - Rules Specification......Page 168
2-State, r=1 CA that classifies Density......Page 171
Specification of Evolved CAs......Page 174
Specification of Evolved Architecture......Page 176
Computing acd & equivalent d'......Page 178
Biblio......Page 179
Index......Page 195
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