中文名: 博弈論書籍
原名: Game Theory
資源格式: PDF
發行時間: 2000年
地區: 大陸
語言: 英文
簡介:

About the book：
毫無例外，所有的生命都是自然選擇引起的博弈和演化的結果。博弈由參與人、戰略空間、支付和規則構成。在生命的博弈中，生命體是參與人、生命體可繼承的特性提供戰略空間、生命體的生或者死是支付，而規則則交由環境來設置。本書所提出的演化博弈理論是理解很多自然之謎的必需工具。這些自然之謎包括共同進化、物種的形成和滅絕等問題。在達爾文的假設所引出的適應函數（G函數）的基礎上，本書發展了演化博弈的數學方法。G函數可以簡化符號並且在引起自然選擇的達爾文動態學的發展中扮演了非常重要的角色。自然選擇會導致一些特殊的結果，比如進化穩定策略（ESS）。
About the Author
Thomas L. Vincent is Professor Emeritus of Aerospace and Mechanical Engineering at the University of Arizona.His main research interests are in the areas of nonlinear controlsystem design, optimal control and game theory, and evolution andadaptation of biological systems. He has 153 publications including 79journal articles and 8 books.Joel S. Brown is a Professor of Biology at the University of Illinois at Chicago.His main research interests lie in applying concepts from naturalselection to behavioral, population, and community ecology withapplications to conservation biology. Specific interests include theecology of fear that studies the ecological and evolutionaryimplications of the non-lethal effects of predators on prey. He has 102publications, including 88 journal articles.
還有一些比較好的博弈論書籍。第一次發布資源希望能夠成功。關於每本書的介紹，用google百度一下就知道了，都是經典！
每天在線時間8:30~00:00
目錄:
Contents
List of figures page x
Preface xv
1 Understanding natural selection 1
1.1 Natural selection 2
1.2 Genetical approaches to natural selection 7
1.3 Natural selection as an evolutionary game 10
1.4 Road map 21
2 Underlying mathematics and philosophy 26
2.1 Scalars, vectors, and matrices 28
2.2 Dynamical systems 33
2.3 Biological population models 39
2.4 Examples of population models 42
2.5 Classical stability concepts 49
3 The Darwinian game 61
3.1 Classical games 62
3.2 Evolutionary games 72
3.3 Evolution by natural selection 83
4 G-functions for the Darwinian game 88
4.1 How to create a G-function 89
4.2 Types of G-functions 91
4.3 G-functions with scalar strategies 92
4.4 G-functions with vector strategies 93
4.5 G-functions with resources 96
4.6 Multiple G-functions 99
4.7 G-functions in terms of population frequency 103
4.8 Multistage G-functions 106
4.9 Non-equilibrium dynamics 110
5 Darwinian dynamics 112
5.1 Strategy dynamics and the adaptive landscape 113
5.2 The source of new strategies: heritable variation and mutation 116
5.3 Ecological time and evolutionary time 119
5.4 G-functions with scalar strategies 120
5.5 G-functions with vector strategies 131
5.6 G-functions with resources 140
5.7 Multiple G-functions 141
5.8 G-functions in terms of population frequency 143
5.9 Multistage G-functions 144
5.10 Non-equilibrium Darwinian dynamics 145
5.11 Stability conditions for Darwinian dynamics 147
5.12 Variance dynamics 149
6 Evolutionarily stable strategies 151
6.1 Evolution of evolutionary stability 153
6.2 G-functions with scalar strategies 160
6.3 G-functions with vector strategies 168
6.4 G-functions with resources 170
6.5 Multiple G-functions 174
6.6 G-functions in terms of population frequency 180
6.7 Multistage G-functions 183
6.8 Non-equilibrium Darwinian dynamics 188
7 The ESS maximum principle 197
7.1 Maximum principle for G-functions with scalar strategies 198
7.2 Maximum principle for G-functions with vector strategies 205
7.3 Maximum principle for G-functions with resources 211
7.4 Maximum principle for multiple G-functions 213
7.5 Maximum principle for G-functions in terms of population frequency 219
7.6 Maximum principle for multistage G-functions 222
7.7 Maximum principle for non-equilibrium dynamics 225
8 Speciation and extinction 231
8.1 Species concepts 234
8.2 Strategy species concept 236
8.3 Variance dynamics 243
8.4 Mechanisms of speciation 251
8.5 Predator–prey coevolution and community evolution 264
8.6 Wright’s shifting balance theory and frequency-dependent selection 266
8.7 Microevolution and macroevolution 268
8.8 Incumbent replacement 272
8.9 Procession of life 273
9 Matrix games 275
9.1 A maximum principle for the matrix game 277
9.2 The 2 × 2 bi-linear game 284
9.3 Non-linear matrix games 295
10 Evolutionary ecology 304
10.1 Habitat selection 304
10.2 Consumer-resource games 309
10.3 Plant ecology 324
10.4 Foraging games 333
11 Managing evolving systems 343
11.1 Evolutionary response to harvesting 344
11.2 Resource management and conservation 350
11.3 Chemotherapy-driven evolution 359
References 364
Index 377
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