When a biologist or a layman tries to reason the evolutionary explanation for something, they would simply use English with some math thrown in (for a random example, pick any explanation out of "The Selfish Gene" -- for example, the reasoning why "discriminate in favor of one's own eggs" strategy is employed by Guillemots, in "Genesmanship" chapter, page 103. I won't quote it in full since it's a page worth of text).
Another example of such a wall of English is (Dawkins-inspired) Bio.SE question: " Why is 'Grudger' an evolutionary stable strategy? "
When a biologist tries to actually model evolutionary development to see which traits would win, they would need to somehow teach the computer to implement that model: what the environmental factors are, what the genotype involved is, how exactly it's expressed in different phenotypal and extended phenotypal traits, and how environment would affect an individual with that phenotype.
My question is: is there some sort of standard way to build such a model? A domain specific language (in computer science terminology) that is used by many different biologists or some standard modeling packages/software? E.g. some sort of special XML format, etc...
Or is it always just hand-built custom implementation by individual researchers for their current model?
Just to clarify:
I'm NOT asking what the models look like theoretically. I'm asking what language/format (if any standard one exists) is used to encode them to run simulations.
If there are discrepancies between the type/purposes of models, the ones I'm most interested in are game theoretical ones.