latest model:
to do list:
model normalisation as a function of fitness
model seasonsÂ
model reproduction as a function of space
make simulation into a 'game' where player can take the side of the producer, the consumer, or the message broker and gain points based on the parameter they are trying to optimise i.e. fitness, utility, or maybe message impact?
add message impact
reflections:
there seems to be a point where it is most natural/beneficial to move from NL to M4A
when i want to increase agent heterogeneity along the lines of distinct prototypes
when i want to control scheduling
when i want to talk with the collaborators about alternative models e.g. adding different behaviours for the same kind of action (e.g. movement)
is this model a good tool for linking concept in sociology with those of other subjects
there will be an optima in terms of the number of people alive and the preference scale between 1 - 9 ...and how fast they oscillate i.e. if messages with 1 and 9 preference are in the simulation the agent population will suffer
it is interesting to think about situations where the production base collapses too i.e. supply-preference = 0