Using Agent Based Modelling to make better decisions

[@wccmmexico6075]

Very interesting. Thank you. QUestions . What is the information dat to input into the software to provide , simulation and set changes in the mobility strategy for a city and interurban transportation?

[@mwenjealela1898]

Quite insightful

[@joshc5727]

Could you do this with every individual animal and device on the planet and use it to predict every possible future?

[@user-pv7bh5gt1m]

No, even with perfect information, since reality is stochastic and not perfectly deterministic.

[@Macrocompassion]

Agent-based modeling is not properly useful unless it uses idealized aggregate properties of its sectors. Today it may well be possible to follow individuals and then to take their aggregates (so as to see the big picture in a way we can understand), BUT since we need these aggregates to understand the process, we might as well save the effort of inputting so much individual's data and begin with in the aggregated agents rather than having to make the later conversion to what they do on average in a form we can understand.

[@MickyMadHatter]

You're correct in that you can build aggregate-level insights from an agent-based model. However, what you can't do is go the other way and produce fine-grained insights from an aggregate model. With an agent-based approach, you can do both.