Customer Reviews

Genetic Programming IV: Routine Human-Competitive Machine Intelligence (v. 4)

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Since the "look inside" doesn't contain the toc, here it is from Barnes&Nobles:

Table of Contents
1 Introduction 1
2 Background on genetic programming 29
3 Automatic synthesis of controllers 49
4 Automatic synthesis of circuits 129
5 Automatic synthesis of circuit topology, sizing, placement, and routing 175
6 Automatic synthesis of antennas 205
7 Automatic synthesis of genetic networks 221
8 Automatic synthesis of metabolic pathways 229
9 Automatic synthesis of parameterized topologies for controllers 281
10 Automatic synthesis of parameterized topologies for circuits 301
11 Automatic synthesis of parameterized topologies with conditional developmental operators for circuits 341
12 Automatic synthesis of improved tuning rules for PID controllers 367
13 Automatic synthesis of parameterized topologies for improved controllers 387
14 Reinvention of negative feedback 413
15 Automated reinvention of six post-2000 patented circuits 421
16 Problems for which genetic programming may be well suited 483
17 Parallel implementation and computer time 515
18 Historical perspective on Moore's law and the progression of qualitatively more substantial results produced by genetic programming 523
19 Conclusion 529

The depth and breadth of what GP can do just isn't known by the techies. This book should scare those that are content to repeat the same old design rules. The book is a bit dry for someone with only a passing interest, but I think that was the author's intent: show in unhyped, and no-uncertain terms that GP can do what we do. For someone with a curious mind, this is proof of a brave new world.