Recent Development in Biologically Inspired Computing

By: Fernando J. Von Zuben (Editor), Leandro N. de Castro (Editor), Leandro Nunes De Castro (Editor)

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Hardcover | 1 December 2003

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Hardcover
454 Pages

Dimensions(cm)
25.4 x 17.78 x 2.54

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Recent Developments in Biologically Inspired Computing is necessary reading for undergraduate and graduate students, and researchers interested in knowing the most recent advances in problem solving techniques inspired by nature. This book covers the most relevant areas in computational intelligence, including evolutionary algorithms, artificial neural networks, artificial immune systems and swarm systems. It also brings together novel and philosophical trends in the exciting fields of artificial life and robotics. This book has the advantage of covering a large number of computational approaches, presenting the state-of-the-art before entering into the details of specific extensions and new developments. Pseudocodes, flow charts and examples of applications are provided so as to help newcomers and mature researchers to get the point of the new approaches presented.

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Non-Fiction Science Biology, Life Sciences Mathematics Algebra Computing & I.T.Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems Human-Computer Interaction

Foreword	p. vi
Preface	p. vii
Introduction
From Biologically Inspired Computing to Natural Computing	p. 1
Evolutionary Algorithms
Evolutionary Turing Machines: The Quest for Busy Beavers	p. 9
Generalized Extremal Optimization: A New Meta-Heuristic Inspired by a Model of Natural Evolution	p. 41
Genetic Programming Using a Turing-Complete Representation: Recurrent Network Consisting of Trees	p. 61
Gene Expression Programming and the Evolution of Computer Programs	p. 82
The Clonal Selection Principle for In Silico and In Vitro Computing	p. 104
Swarm Intelligence
Integrating Evolutionary Computation Components in Ant Colony Optimization	p. 148
Ant Colony Algorithms for Steiner Trees: An Application to Routing in Sensor Networks	p. 181
The Influence of Pheromone and Adaptive Vision in the Standard Ant Clustering Algorithm	p. 207
Particle Swarms: Optimization Based on Sociocognition	p. 235
Artificial Life and Artificial Creatures
Synthetic Approach to Semiotic Artificial Creatures	p. 270
Perspectives for Strong Artificial Life	p. 301
Information Processing and Cognitive Systems
Controlling Robots with Fractal Gene Regulatory Networks	p. 320
Once More Unto the Breach: Towards Artificial Homeostasi	p. 340
Biologically Inspired Collective Robotics	p. 367
Continuous Attractor Neural Networks	p. 398
About the Authors	p. 426
Index	p. 434
Table of Contents provided by Rittenhouse. All Rights Reserved.

Recent Development in Biologically Inspired Computing

At a Glance

Hardcover

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How to return your order

Defective items

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