graham weingart connected past reanimating networks with agent modeling

Reanimating Networks with Agent Modeling

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Shawn Graham with Scott Weingart

Carleton University, Indiana University@electricarchaeo

@scott_bot

Networks derived from central Italian brick stamp data

...a landscape of possible outcomes...

http://supermodelling.net/?p=148

A bazaar of possibilities

Photo cc Dmgultekin , http://commons.wikimedia.org/wiki/File:Grand-Bazaar_Shop.jpg

We should expect some basic trends to emerge:

•increasing the transaction costs should make it much more difficult for agents to survive (i.e., make the simulation reach its arbitrary end-conditions).

•increasing ‘vision’ (we reduce information uncertainty by increasing the amount of the world it is possible to ‘know’) should make it much easier for agents to survive; that the simulation takes a relatively long time to reach its arbitrary end point.

Characteristics of some real world networks

All models are bad, but some are useful.