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where j is the smallest index such that
C0182-01.gif
and c is chosen so that
C0182-02.gif
(modified so that the actual solution is in integers). For example, let l0 = 2 with 2 alleles (attributes) at each locus, yielding schemata x1, x2, x3, x4 with Q1= 1, Q2 = 4, Q3 = 8, Q4 = 1. Then for M = 9 there will be 6 instances of x3, 3 instances of x2, and no instances of x1 or x4 in the stable distribution.
Here we have a simple example of speciation. If the population is restricted to M individuals (by factors other than the niche payoff rates), certain combinations of alleles appear in a stable competition while other combinations are proscribed by the same competition. The example can rapidly be made more realistic by letting the payoff to each schema x be a random variable with expected payoff
C0182-03.gif
where Qx is the minimum of the renewal rates of resources characterizing the environmental niche associated with x, Mx (t) is the number of instances of x at time t, Q is the minimum of the renewal rates of resources required by all the schemata, and M(t) is the total population at time t. Now the schema x will increase its proportion at an intrinsic rate set by C0182-04.gif until it reaches the "carrying capacity" of its niche, determined by Qx, or until the total population has increased to a point that the overall "carrying capacity," determined by Q, limits further expansion. (For the reader familiar with MacArthur and Wilson's [1967] work, the effect of Qx corresponds to a K selectioncrowded nicheeffect, whereas C0182-04.gif is the intrinsic rate of increase, possibly wasteful of resources, under classical r selection. Q sets an ultimate limit on the carrying capacity of the environment, no matter what the diversity or organization of the species.) With typical values for the {Qx} and Q, the population will once again develop into subpopulations characterized by certain combinations of alleles (schemata), with many combinations being proscribed.
The really interesting form of this theory would characterize niches (and hence the overall payoff function µ) in terms of the varieties of schemata that could exploit themdifferent schemata exploiting a given niche with differing efficiencies. The dynamics of speciation would then be determined by competition within and across niches. It is interesting that under these circumstances speciation

 
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