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9780226558264

Mathematical Models of Social Evolution

by
  • ISBN13:

    9780226558264

  • ISBN10:

    0226558266

  • Format: Hardcover
  • Copyright: 2007-03-15
  • Publisher: Univ of Chicago Pr

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Summary

Over the last several decades, mathematical models have become central to the study of social evolution, both in biology and the social sciences. But students in these disciplines often seriously lack the tools to understand them. A primer on behavioral modeling that includes both mathematics and evolutionary theory,Mathematical Models of Social Evolutionaims to make the student and professional researcher in biology and the social sciences fully conversant in the language of the field. Teaching biological concepts from which models can be developed, Richard McElreath and Robert Boyd introduce readers to many of the typical mathematical tools that are used to analyze evolutionary models and end each chapter with a set of problems that draw upon these techniques.Mathematical Models of Social Evolutionequips behaviorists and evolutionary biologists with the mathematical knowledge to truly understand the models on which their research depends. Ultimately, McElreath and Boyd's goal is to impart the fundamental concepts that underlie modern biological understandings of the evolution of behavior so that readers will be able to more fully appreciate journal articles and scientific literature, and start building models of their own.

Author Biography

Richard McElreath is associate professor of anthropology at the University of California, Davis. Robert Boyd is professor of anthropology at the University of California, Los Angeles, and coauthor of Not by Genes Alone, also published by the University of Chicago Press.

Table of Contents

Prefacep. ix
Theoretician's Laboratoryp. 1
The structure of evolutionary theoryp. 3
The utility of simple modelsp. 4
Why not just simulate?p. 8
A model of viability selectionp. 11
Determining long-term consequencesp. 16
Nongenetic replicationp. 27
Animal Conflictp. 37
The Hawk-Dove gamep. 38
Retaliationp. 46
Continuous stable strategiesp. 52
Ownership, an asymmetryp. 55
Resource holding powerp. 58
Sequential playp. 60
Altruism & Inclusive Fitnessp. 71
The prisoner's dilemmap. 72
Positive assortmentp. 76
Common descent and inclusive fitnessp. 78
Rediscovering Hamilton's rulep. 82
Justifying Hamilton's rulep. 97
Using Hamilton's rulep. 99
Reciprocityp. 123
The Axelrod-Hamilton modelp. 124
Mutants and mistakesp. 132
Partner choicep. 145
Indirect reciprocityp. 150
Reciprocity and collective actionp. 156
Animal Communicationp. 173
Costly signaling theoryp. 174
Cheap, honest signalsp. 192
Signaling and altruismp. 201
Social learningp. 206
Selection among Groupsp. 223
Three views of selectionp. 225
Deriving the Price equationp. 228
Selection within and between groupsp. 232
Dispersalp. 249
Sex Allocationp. 261
Fisher's theory of sex allocationp. 262
Reproductive value and Fisherian sex ratiosp. 263
Using the Shaw-Mohler theoremp. 267
Biased sex ratiosp. 271
Breaking the eigen barrierp. 281
Sexual Selectionp. 295
Quantitative genetic modelsp. 298
Fisher's runaway processp. 305
Costly choice and sensory biasp. 309
Good genes and sexy sonsp. 313
Appendixesp. 333
Facts about Derivativesp. 333
Facts about Random Variablesp. 335
Calculating Binomial Expectationsp. 337
Numerical Solution of the Kokko et al. Modelp. 343
Solutions to Problemsp. 349
Bibliographyp. 393
Indexp. 409
Table of Contents provided by Ingram. All Rights Reserved.

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