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| subject: | Re: Hamilton`s rule: A K |
Kevin Aylward wrote: > Anon. wrote: > >>Kevin Aylward wrote: >> >>>Anon. wrote: >> > >>>>>This is a basic issue absolutely inherent in any science. The >>>>>fundamental defining equations are pretty much always circular. >>>>> >>>> >>>>But as we do not need to define fitness using these equations, the >>>>problem can be sidestepped. >>>> >>>>Fisher's insight here was to define fitness in terms of the >>>>probability of living to age x, the rate of production of offspring >>>>at age x, and a penalisation term for the time taken to reach age x >>>>(!). this all gets put into the Euler-Lotka equation, which can be >>>>solved to give the Malthusian parameter, i.e. the rate of increase. >>>> >>> >>> >>>I'll have to have a think on this. It seems similar to the approach >>>that I have already taken e.g. >>>http://www.anasoft.co.uk/replicators/replicatortheory.html >>> >>>Where I have: >>> >>>N = Quantity factor - average of replications in a generation period >>>by a replicator. i.e. how many Replicators a Replicator combines >>>with in a generation period. e.g. 10 mates per day. >>> >>>Q = Quality factor - average number of surviving Replicators >>>generated per Replicator combination. i.e. how many offspring >>>Replicators are generated with each combination. e.g. 2 offsprings >>>per mate (Q is usually < 1). The assumption here is that the >>>offspring replicators survive for their own generation period. >>> >>>GRR = Generation Replication Rate - GRR=Q.N e.g. GRR=mates/day x >>>offsprings/mate = offsprings/day = replications/day. >>> >>>Fitness = GRR. >>> >>>I don't consider the life length (generation time), by itself, that >>>significant. Its a numbers counting game. >>> >> >>Alas it is - > > > Well, not in this context. What we measure, at any given point in time, > is the population numbers. That's it. Sure, length of survival has an > effect on he numbers, but it can all be included in the wash. > > >>reproducing earlier will be better (everything else being >>equal). >>You also haven't included survival in your definition. It's >>perhaps implicit in N, but in practive survival is an important >>fitness component, > > > Its really in the time per generation, but this has been made constant > in this approximation. This is just a simplified model, used to derive a > couple of key features. It can be included in N, as N is really an > average number, or another term. > Don't let John see that! Bob -- Bob O'Hara Dept. of Mathematics and Statistics P.O. Box 4 (Yliopistonkatu 5) FIN-00014 University of Helsinki Finland Telephone: +358-9-191 23743 Mobile: +358 50 599 0540 Fax: +358-9-191 22 779 WWW: http://www.RNI.Helsinki.FI/~boh/ --- þ RIMEGate(tm)/RGXPost V1.14 at BBSWORLD * Info{at}bbsworld.com --- * RIMEGate(tm)V10.2áÿ* RelayNet(tm) NNTP Gateway * MoonDog BBS * RgateImp.MoonDog.BBS at 1/19/04 3:23:02 PM* Origin: MoonDog BBS, Brooklyn,NY, 718 692-2498, 1:278/230 (1:278/230) SEEN-BY: 633/267 270 @PATH: 278/230 10/345 106/1 2000 633/267 |
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