Biomimicry for Optimization, Control, and Automation

  • Kevin M. Passino

Table of contents

  1. Front Matter
    Pages i-xxxi
  2. Introduction

  3. Elements of Decision Making

  4. Learning

    1. Pages 321-419
    2. Pages 471-546
    3. Pages 547-600
    4. Pages 601-605
  5. Evolution

  6. Foraging

  7. Back Matter
    Pages 899-926

About this book


Biomimicry uses our scienti?c understanding of biological systems to exploit ideas from nature in order to construct some technology. In this book, we focus onhowtousebiomimicryof the functionaloperationofthe “hardwareandso- ware” of biological systems for the development of optimization algorithms and feedbackcontrolsystemsthatextendourcapabilitiestoimplementsophisticated levels of automation. The primary focus is not on the modeling, emulation, or analysis of some biological system. The focus is on using “bio-inspiration” to inject new ideas, techniques, and perspective into the engineering of complex automation systems. There are many biological processes that, at some level of abstraction, can berepresentedasoptimizationprocesses,manyofwhichhaveasa basicpurpose automatic control, decision making, or automation. For instance, at the level of everyday experience, we can view the actions of a human operator of some process (e. g. , the driver of a car) as being a series of the best choices he or she makes in trying to achieve some goal (staying on the road); emulation of this decision-making process amounts to modeling a type of biological optimization and decision-making process, and implementation of the resulting algorithm results in “human mimicry” for automation. There are clearer examples of - ological optimization processes that are used for control and automation when you consider nonhuman biological or behavioral processes, or the (internal) - ology of the human and not the resulting external behavioral characteristics (like driving a car). For instance, there are homeostasis processes where, for instance, temperature is regulated in the human body.


Biomimicry Control Neural Optimization Simulation algorithms automation autonom genetic algorithms robot

Authors and affiliations

  • Kevin M. Passino
    • 1
  1. 1.Department of Electrical and Computer Engineering, 416 Dreese LaboratoriesThe Ohio State UniversityColumbusUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London Limited 2005
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-85233-804-6
  • Online ISBN 978-1-84628-069-6
  • Buy this book on publisher's site