Overview

Systems Evolutionary Biology: Biological Network Evolution Theory, Stochastic Evolutionary Game Strategies, and Applications to Systems Synthetic Biology discusses the evolutionary game theory and strategies of nonlinear stochastic biological networks under random genetic variations and environmental disturbances and their application to systematic synthetic biology design. The book provides more realistic stochastic biological system models to mimic the real biological systems in evolutionary process and then introduces network evolvability, stochastic evolutionary game theory and strategy based on nonlinear stochastic networks in evolution. Readers will find remarkable, revolutionary information on genetic evolutionary biology that be applied to economics, engineering and bioscience.

Full Product Details

Author:   Bor-Sen Chen (Tsing Hua Distinguished Chair Professor, Department of Electrical Engineering, National Tsing Hua University, Taiwan)
Publisher:   Elsevier Science Publishing Co Inc
Imprint:   Academic Press Inc
Weight:   0.450kg
ISBN:  

9780128140727

ISBN 10:   0128140720
Pages:   390
Publication Date:   31 January 2018
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Part I: General Theory of Stochastic Evolutionary Biological Network 1. Introduction to Systems Evolutionary Biology 2. Stochastic Dynamics Systems and Stochastic Nash Game in Evolutionary Biological Networks 3. Evolutionary Gene Regulatory Networks and Biochemical Networks 4. Evolutionary Ecological Networks Part II: Applications of Network Evolution to Systems Synthetic Biology 5. Robust Design for Evolutionary Synthetic Gene Networks under Genetic Mutations and Environmental Disturbances: Genetic Algorithm (GA) Approach in Genotype Space 6. Robust Design of Genetic Networks: Evolutionary Systems Biology Approach via Evolutionary Algorithm (EA) in Phenotype space 7. On the Adaptive Design Rules of Biochemical Networks in Evolution Part III: Stochastic Evolutionary Game Strategies 8. Stochastic Evolutionary Game as Natural Selection in a Population of Biological Networks 9. Stochastic Noncooperative and Cooperative Evolutionary Game Strategies of a Population of Biological Networks under Natural Selection 10. Evolutionary Game Strategy of Evolutionary Biological Network of Somatic Cells in the Organ Carcinogenesis and Aging Process Part IV: Evolution Measurements of Biological Networks 11. On the System Entropy of Nonlinear Stochastic Biological Networks and Its Relationship to Network Evolution 12. On the Evolution Measurement of Somatic Networks by the Changes of their Robustness and Response Ability in the Aging Process via Microarray Data

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Author Information

Bor-Sen Chen received B.S. degree of electrical Engineering from Tatung Institute of Technology in 1970, M.S. degree of Geophysics from National Central University in 1973, and PhD in Electrical Engineering from University of Southern California in 1982. He is an expert on the topic of nonlinear robust control and filter designs based on stochastic Nash game theory to override the influence of intrinsic random fluctuations and attenuate the effect of environmental disturbances, which can be applied to evolutionary game strategies of biological networks under natural selection to respond to random genetic variations and environmental disturbances in the evolutionary process. Prof. Chen had audited more than 10 courses of biology before his research in systems biology. He has published about 100 papers in bioinformatics and systems biology. Further, he have published more than 100 papers in system theory and control, and more than 80 papers of signal processing and communication. In the last three years, he has also published 7 monographs. He was elected to an IEEE Fellow in 2001 and became an IEEE Life Fellow in 2014.

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