Some Simulation Models to Play With
A simulation model
that represents belief change within a population of agents who are
connected by a social network is presented based on Thagard’s theory of
explanatory coherence.
Edmonds, B. (in press, 2012)
Modelling
Belief Change in a Population Using Explanatory Coherence,
Advances in Complex Systems. (
http://cfpm.org/cpmrep185.html)
This is an abstract
model to explore the different evolutionary trajectories that might occur
in the presence of severe disasters. The model forces the individuals to
compromise between getting food and avoiding the disasters, since these
have a tendancy to occur in the same places. The geneone and environment
is deliberately sufficiently complex to allow an open-ended evolutionary
debvelopment of genes. Species here are those with the same geneone.
This model is an a
reimplementation of the model described in:
de Aguiar
MA, Baranger M, Baptestini EM, Kaufman L, Bar-Yam Y. (2009) Global
Patterns of speciation and diverity. Nature. Jul 16;460(7253):334-5
This was used in my
invited talk to iEMSs 2012. It is a model of species evolving
in multiple patches with migration between patches so that different
food-webs may build up in different patches. It is intended as the
background to a social model so that the interaction of social and
environmental complex systems can be explored.
This is the version of the paper at ECMS
2013 (CPM report 220).
It is in the above model but with the ability to test against strong
cheaters.