Systems Evolutionary Biology: Biological Network Evolution Theory, Stochastic Evolutionary Game Strategies, and Applications to Systems Synthetic Biology

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.

Explains network fitness, network evolvability and network robustness of biological networks from the systematic perspectiveDiscusses the evolutionary noncooperative and cooperative game strategies of biological networksOffers detailed diagrams to help readers understand biological networks, their systematic behaviors and the simulational results of evolutionary biological networksIncludes examples in every chapter with computational simulation to illustrate the solution procedure of evolutionary theory, strategy and results

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