Interesting topic but the paper contains no model: no mathematical theory, no
experimental data, no agent-based model, nothing. I think it would help a lot
to understand gene-culture coevolution if people would start to notice there
are indeed hidden genes in cultural evolution, but that's just my point of
view. Cultural evolution is notoriously difficult to model because it is based
on language and computers can not understand language (yet). Peter Richerson
and Robert Boyd have written a number of books about it and tried to model it
mathematically, but it unclear to me how far their complex models match
reality. Even religion is extremely difficult to model, although it is the most
basic form of a collective organism in cultural evolution. It is difficult to
model because it is based on abstract beliefs and the understanding of
language. The best model I can think of is a swarm, because the rules of swarm
intelligence are isomorphic to the basic religious rules in "abstract behavior
phase space" (as I try to explain in the book).It is possible to use abstract
models though which simulate strategies like cooperation and defection,
collective processes like wars, tributes and taxes, etc. Robert Axelrod's
tribute model for example is a classic agent-based model which is useful to
study the emergence of states and empires. I have tried to implement the model
in 2 dimensions at the
weekend:https://github.com/JochenFromm/SwarmIntelligence/blob/master/notebooks/Emergence%20of%20Political%20Actors.ipynb-J.
-------- Original message --------From: "uǝlƃ ☤>$" <[email protected]> Date:
6/7/21 22:17 (GMT+01:00) To: FriAM <[email protected]> Subject: [FRIAM]
gene-culture coevolution Researchers: Culture drives human evolution more than
geneticshttps://phys.org/news/2021-06-culture-human-evolution-genetics.htmlPaywalled
Paper:https://royalsocietypublishing.org/doi/10.1098/rspb.2021.0538Accessible
version:https://digitalcommons.library.umaine.edu/cgi/viewcontent.cgi?article=1039&context=eco_facpub--
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