Acknowledgements |
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xi | |
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1 | (12) |
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1 | (1) |
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2 | (4) |
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1.3 The Modelling Approach |
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6 | (1) |
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1.4 Scope of the Field and Challenges |
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7 | (2) |
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1.5 Approach in This Book |
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9 | (4) |
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13 | (14) |
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2.1 Actions, States, and Strategies |
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13 | (3) |
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2.2 The Phenotypic Gambit |
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16 | (3) |
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19 | (3) |
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2.4 Evolutionary Endpoints |
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22 | (1) |
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23 | (2) |
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2.6 From Strategies to Individuals |
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25 | (2) |
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27 | (36) |
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3.1 Contributing to the Common Benefit at a Cost |
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27 | (3) |
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3.2 Helping Others: The Prisoner's Dilemma Game |
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30 | (1) |
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3.3 The Tragedy of the Commons |
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31 | (1) |
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3.4 Biparental Care: The Parental Effort Game |
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32 | (4) |
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3.5 Contest Over a Resource: The Hawk-Dove Game |
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36 | (5) |
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3.6 The Evolution of Signalling: From Cue to Signal |
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41 | (3) |
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44 | (1) |
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3.8 Produce Sons or Daughters? The Sex-Allocation Game |
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45 | (3) |
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48 | (1) |
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3.10 Dispersal as a Means of Reducing Kin Competition |
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48 | (2) |
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50 | (6) |
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3.12 Assessment and Bayesian Updating |
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56 | (4) |
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60 | (3) |
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4 Stability Concepts: Beyond Nash Equilibria |
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63 | (28) |
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4.1 Evolutionarily Stable Strategies |
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64 | (5) |
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69 | (5) |
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4.3 Evolution to a Fitness Minimum |
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74 | (5) |
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79 | (2) |
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4.5 Games Between Relatives |
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81 | (6) |
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87 | (4) |
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5 Learning in Large Worlds |
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91 | (20) |
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5.1 Reinforcement Learning |
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92 | (4) |
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5.2 Learning and the Hawk-Dove Game |
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96 | (3) |
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5.3 Learning in a Game of Joint Benefit of Investment |
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99 | (3) |
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102 | (5) |
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5.5 Approaches to Learning in Game Theory |
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107 | (2) |
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109 | (2) |
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111 | (30) |
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6.1 Stability in More than One Dimension |
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112 | (2) |
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114 | (4) |
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6.3 The Evolution of Anisogamy |
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118 | (4) |
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6.4 Evolution of Abilities and Role Specialization |
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122 | (4) |
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6.5 Learning and Individual Specialization |
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126 | (4) |
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6.6 Co-evolution of Prosociality and Dispersal |
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130 | (3) |
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6.7 Co-evolution of Species |
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133 | (4) |
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137 | (1) |
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138 | (3) |
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7 Variation, Consistency, and Reputation |
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141 | (32) |
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7.1 Variation has Consequences |
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141 | (2) |
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7.2 Variation and the Stability of Equilibria |
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143 | (2) |
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145 | (3) |
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7.4 Signalling and the Handicap Principle |
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148 | (2) |
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150 | (3) |
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153 | (4) |
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7.7 Differences Select for Social Sensitivity |
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157 | (3) |
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160 | (4) |
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7.9 Choosiness, Assortment, and Cooperation |
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164 | (2) |
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166 | (3) |
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169 | (4) |
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8 Interaction, Negotiation, and Learning |
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173 | (30) |
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8.1 Interaction over Time |
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173 | (1) |
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8.2 Information and the Order of Choice |
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174 | (3) |
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8.3 Credible Threats and Strategic Commitment |
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177 | (3) |
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8.4 Negotiation between Partners |
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180 | (5) |
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8.5 Evolution of Cognitive Bias |
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185 | (3) |
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188 | (5) |
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8.7 Assessment in Contests |
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193 | (5) |
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8.8 Outlook: Games with Interaction over Time |
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198 | (3) |
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201 | (2) |
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203 | (28) |
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203 | (1) |
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9.2 The Shadow of the Future, and the Past |
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204 | (2) |
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9.3 Resident Strategy Affects Future Opportunities |
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206 | (3) |
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9.4 Dependence on Future Actions |
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209 | (7) |
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9.5 Territorial Defence and the Desperado Effect |
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216 | (5) |
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9.6 State-dependent Ideal Free Distributions |
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221 | (5) |
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226 | (2) |
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228 | (3) |
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10 Structured Populations and Games over Generations |
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231 | (30) |
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10.1 Invasion Fitness for Structured Populations |
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233 | (3) |
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10.2 Offspring Quality versus Number |
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236 | (4) |
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10.3 Reproductive Value Maximization |
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240 | (2) |
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10.4 Sex Allocation as a Game over Generations |
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242 | (4) |
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10.5 The Fisher Runaway Process |
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246 | (6) |
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10.6 Maximizing Lifetime Reproductive Success |
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252 | (3) |
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255 | (2) |
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10.8 Evolutionary Analysis in Structured Populations |
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257 | (1) |
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258 | (3) |
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261 | (12) |
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263 | (3) |
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11.2 Behavioural Mechanisms in Large Worlds |
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266 | (5) |
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11.3 Ontogeny and the Acquisition of Behaviour |
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271 | (2) |
Appendix A Summary of Notation |
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273 | (2) |
Appendix B Solutions to Exercises |
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275 | (30) |
References |
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305 | (20) |
Index |
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325 | |