Evolutionary Game Theory, Natural Selection, and Darwinian Dynamics

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Format: Hardcover
Pub. Date: 2005-07-11
Publisher(s): Cambridge University Press
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Summary

All of life is a game and evolution by natural selection is no exception. The evolutionary game theory developed in this book provides the tools necessary for understanding many of nature's mysteries, including co-evolution, speciation, extinction and the major biological questions regarding fit of form and function, diversity, procession, and the distribution and abundance of life. Mathematics for the evolutionary game are developed based on Darwin's postulates leading to the concept of a fitness generating function (G-function). G-function is a tool that simplifies notation and plays an important role developing Darwinian dynamics that drive natural selection. Natural selection may result in special outcomes such as the evolutionarily stable strategy (ESS). An ESS maximum principle is formulated and its graphical representation as an adaptive landscape illuminates concepts such as adaptation, Fisher's Fundamental Theorem of Natural Selection, and the nature of life's evolutionary game.

Author Biography

Joel S. Brown is a Professor of Biology at the University of Illinois at Chicago.

Table of Contents

List of figures x
Preface xv
1 Understanding natural selection
1(25)
1.1 Natural selection
2(5)
1.2 Genetical approaches to natural selection
7(3)
1.3 Natural selection as an evolutionary game
10(11)
1.4 Road map
21(5)
2 Underlying mathematics and philosophy
26(35)
2.1 Scalars, vectors, and matrices
28(5)
2.2 Dynamical systems
33(6)
2.3 Biological population models
39(3)
2.4 Examples of population models
42(7)
2.5 Classical stability concepts
49(12)
3 The Darwinian game
61(27)
3.1 Classical games
62(10)
3.2 Evolutionary games
72(11)
3.3 Evolution by natural selection
83(5)
4 G-functions for the Darwinian game
88(24)
4.1 How to create a G-function
89(2)
4.2 Types of G-functions
91(1)
4.3 G-functions with scalar strategies
92(1)
4.4 G-functions with vector strategies
93(3)
4.5 G-functions with resources
96(3)
4.6 Multiple G-functions
99(4)
4.7 G-functions in terms of population frequency
103(3)
4.8 Multistage G-functions
106(4)
4.9 Non-equilibrium dynamics
110(2)
5 Darwinian dynamics
112(39)
5.1 Strategy dynamics and the adaptive landscape
113(3)
5.2 The source of new strategies: heritable variation and mutation
116(3)
5.3 Ecological time and evolutionary time
119(1)
5.4 G-functions with scalar strategies
120(11)
5.5 G-functions with vector strategies
131(9)
5.6 G-functions with resources
140(1)
5.7 Multiple G-functions
141(2)
5.8 G-functions in terms of population frequency
143(1)
5.9 Multistage G-functions
144(1)
5.10 Non-equilibrium Darwinian dynamics
145(2)
5.11 Stability conditions for Darwinian dynamics
147(2)
5.12 Variance dynamics
149(2)
6 Evolutionarily stable strategies
151(46)
6.1 Evolution of evolutionary stability
153(7)
6.2 G-functions with scalar strategies
160(8)
6.3 G-functions with vector strategies
168(2)
6.4 G-functions with resources
170(4)
6.5 Multiple G-functions
174(6)
6.6 G-functions in terms of population frequency
180(3)
6.7 Multistage G-functions
183(5)
6.8 Non-equilibrium Darwinian dynamics
188(9)
7 The ESS maximum principle
197(34)
7.1 Maximum principle for G-functions with scalar strategies
198(7)
7.2 Maximum principle for G-functions with vector strategies
205(6)
7.3 Maximum principle for G-functions with resources
211(2)
7.4 Maximum principle for multiple G-functions
213(6)
7.5 Maximum principle for G-functions in terms of population frequency
219(3)
7.6 Maximum principle for multistage G-functions
222(3)
7.7 Maximum principle for non-equilibrium dynamics
225(6)
8 Speciation and extinction
231(44)
8.1 Species concepts
234(2)
8.2 Strategy species concept
236(7)
8.3 Variance dynamics
243(8)
8.4 Mechanisms of speciation
251(13)
8.5 Predator-prey coevolution and community evolution
264(2)
8.6 Wright's shifting balance theory and frequency-dependent selection
266(2)
8.7 Microevolution and macroevolution
268(4)
8.8 Incumbent replacement
272(1)
8.9 Procession of life
273(2)
9 Matrix games
275(29)
9.1 A maximum principle for the matrix game
277(7)
9.2 The 2 x 2 bi-linear game
284(11)
9.3 Non-linear matrix games
295(9)
10 Evolutionary ecology 304(39)
10.1 Habitat selection
304(5)
10.2 Consumer-resource games
309(15)
10.3 Plant ecology
324(9)
10.4 Foraging games
333(10)
11 Managing evolving systems 343(21)
11.1 Evolutionary response to harvesting
344(6)
11.2 Resource management and conservation
350(9)
11.3 Chemotherapy-driven evolution
359(5)
References 364(13)
Index 377

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