By Steven A. Frank
It is a masterly theoretical remedy of 1 of the principal difficulties in evolutionary biology, the evolution of social cooperation and clash. Steven Frank tackles the matter with a hugely unique blend of techniques: online game concept, classical versions of ordinary choice, quantitative genetics, and kinfolk choice. He unites those with the simplest of monetary concept: a transparent concept of version formation and comparative statics, the advance of easy equipment for studying complicated difficulties, and notions of knowledge and rationality. utilizing this exact, multidisciplinary strategy, Frank makes significant advances in knowing the rules of social evolution.Frank starts off by way of constructing the 3 measures of price utilized in biology--marginal price, reproductive price, and family choice. He then combines those measures right into a coherent framework, supplying the 1st unified research of social evolution in its complete ecological and demographic context. Frank additionally extends the idea of relations choice through exhibiting that relatedness has specific meanings. the 1st is a degree of knowledge approximately social companions, with shut affinity to theories of correlated equilibrium and Bayesian rationality in monetary video game concept. the second one is a degree of the constancy wherein characters are transmitted to destiny generations--an prolonged proposal of heritability.Throughout, Frank illustrates his equipment with many examples, together with an entire reformulation of the idea of intercourse allocation. The ebook additionally presents a special "how-to" consultant for developing types of social habit. it truly is crucial examining for evolutionary biologists and for economists, mathematicians, and others drawn to typical choice.
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Extra resources for Foundations of Social Evolution (Monographs in Behavior and Ecology)
Which genotypes will be favored? How will natural selection shape parental behavior? N A T U R A L S E L E C T I ON 35 We must search for allelic effects that maximize reproductive rate. Older offspring have a lower future expectation of reproduction and therefore may be less valuable than younger offspring. Consider two cases. First, suppose that parental resources influence the survival of offspring to the following year. n − 1 i=0 =a x=n where f (δx ) is the effect on offspring survival to the next year given an additional input of parental resources of δx .
I then turn to Queller’s (1992a, 1992b) elegant quantitative formulation, which uses the statistical approach outlined in Chapter 2. Queller’s work places Hamilton’s rule in the broader context of multivariate selection and causal analysis (Lande and Arnold 1983). The prior work by Hamilton and Queller leaves several conceptual issues unresolved, and fails to provide practical guidelines for the solution of common problems. I extend the concepts and methods of kin selection in the following chapter.
Reproductive value is a method of weighting individual values so that simple maximization techniques can be used. I will discuss in Chapter 8 various demographic and genetic factors that influence reproductive value. K IN S ELECTION In the previous section a trait influenced its future frequency by direct effects on offspring. The value of investment in each offspring was measured by marginal change in reproductive value, that is, by marginal change in expected contribution to the future gene pool.