CAIMS*SCMAI Doctoral Dissertation Award 98 Winner and Abstract
1998
Troy Day, Queen's University
Dynamic Evolutionary Games Between Relatives
Game theory has provided an extremely important set of tools for
constructing models in evolutionary biology. An interaction between
individuals is considered a game if the fitness of each individual depends
on the other's phenotype. An additional complication
arises when the individuals are genetically related. This will be true
whenever the population is geographically structured, or when individuals
preferentially associate with kin. Under these conditions it becomes
necessary to include elements of inclusive fitness theory into
game-theoretic models.
I present a general method for constructing genetically valid
game-theoretic models of kin selection for both haploid and diploid
organisms. Using this method, I then develop some general results for the
construction of dynamic games between relatives. By dynamic I mean that the
characters of interest are sequences of decisions (see below for examples).
Evolutionary models of such characters are usually constructed using either
dynamic programming or Pontryagin's Maximum Principle (PMP). These cannot
be used for games between relatives however, because they are simply
maximization routines. I derive a suitable generalization of PMP for games
between relatives that is genetically valid for both haploid and diploid
organisms.
I then use these developments to model three phenomena: (i) What is the
evolutionarily stable schedule of resource allocation to growth versus
reproduction when individuals are competing with related neighbors? This
appears to be the case for the plant Impatiens capensis, for example. (ii)
When individuals interact over a period of time, how does the ESS level of
altruism change. Also, can such repeated interactions favour the evolution
of cooperation through mechanisms other than reciprocity? (iii) Can the
evolution of the maternal age dependence in the frequency of trisomic
conceptions be explained by meiotic drive? These three biological questions
are of considerable interest in and of themselves, and they also provide
nice illustrative examples of how the mathematical results that I obtain
can be applied.
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