Compositional evolution : the impact of sex, symbiosis, and modularity on the gradualist framework of evolution /

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Bibliographic Details
Author / Creator:Watson, Richard A., 1968-
Imprint:Cambridge, Mass. : MIT Press, c2006.
Description:xvi, 324 p. : ill. ; 24 cm.
Language:English
Series:The Vienna series in theoretical biology
Vienna series in theoretical biology.
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/5850279
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ISBN:026223243X (hc : alk. paper)
Notes:Includes bibliographical references (p. [301]-318) and index.
Table of Contents:
  • Preface
  • Acknowledgments
  • Series Foreword
  • 1. Introduction
  • 1.1. Gradual and Compositional Evolution
  • 1.2. The Algorithmic Paradigms of Evolution
  • 1.3. Complex Systems with Modular Interdependency and Their (Un)evolvability
  • 1.4. Compositional Mechanisms
  • 1.5. The Impact on Gradualism
  • 1.6. Some Related Issues
  • 1.7. Contributions
  • 2. Gradual Evolution
  • 2.1. The Gradualist Framework of Evolution
  • 2.2. Evolutionary Algorithms
  • 2.3. Concepts of Evolutionary Difficulty
  • 2.4. Summary
  • 3. Compositional Evolution
  • 3.1. Compositional Mechanisms
  • 3.2. Models of Composition
  • 3.3. Some Issues in the Use of Compositional Mechanisms
  • 3.4. Some Conceptual Issues of Compositional Evolution
  • 3.5. Summary
  • 4. Modularity
  • 4.1. Interdependency
  • 4.2. Modular Interdependency
  • 4.3. Hierarchical Modular Interdependency
  • 4.4. Hierarchical-If-and-Only-If (HIFF)
  • 4.5. Discussion
  • 4.6. Summary
  • 5. Mutation
  • 5.1. Examining the Fitness Landscape
  • 5.2. Difficulty of Modular Interdependency for Gradual Mechanisms
  • 5.3. Expected Time to Solution for Gradual Mechanisms
  • 5.4. Simulation Results for Mutation
  • 5.5. Summary
  • 6. Sexual Recombination
  • 6.1. Overview of Models
  • 6.2. Results for a Single Panmictic Population-The Simple GA
  • 6.3. Results for a Subdivided or Niched Population-GA with Crowding
  • 6.4. The Dependence on Physical Linkage
  • 6.5. The Impact for GA Theory
  • 6.6. Summary
  • 7. Symbiotic Encapsulation
  • 7.1. An Overview of the Symbiotic Encapsulation Model
  • 7.2. Entities and Their Encapsulation
  • 7.3. Evaluation and Selection
  • 7.4. The Symbiogenic Evolutionary Adaptation Model (SEAM)
  • 7.5. Simulation Results for Symbiotic Encapsulation
  • 7.6. The Relationship of SEAM to Other Algorithmic Methods
  • 7.7. Summary
  • 8. How Fast Is Fast?
  • 8.1. An Analysis of Sexual Recombination on HIFF
  • 8.2. An Analysis of SEAM on Shuffled HIFF
  • 8.3. Summary
  • 9. Scaling Up Evolution
  • 9.1. Units in Sexual Populations
  • 9.2. Scaling Up Evolution with Symbiotic Encapsulation
  • 9.3. The Inherent Tension of Innovation and Reproductive Fidelity
  • 10. The Impact of Compositional Evolution
  • 10.1. Future and Ongoing Research
  • 10.2. Large Directed Adaptive Genetic Changes
  • 10.3. Symbiosis as a Source of Evolutionary Innovation
  • 10.4. Evolutionary Difficulty and Gradualism
  • 10.5. Algorithmic Principles of Adaptation
  • 10.6. The Availability and Impact of Compositional Mechanisms in Nature
  • 10.7. Modularity in Natural Systems
  • 10.8. Conclusions
  • Notes
  • Glossary
  • References
  • Index