Compositional evolution : the impact of sex, symbiosis, and modularity on the gradualist framework of evolution /
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Author / Creator: | Watson, Richard A., 1968- |
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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 |
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