Graham weingart connected past reanimating networks with agent modeling
Transcript of Graham weingart connected past reanimating networks with agent modeling
Reanimating Networks with Agent Modeling
Some rights reserved by Pedro Vezini
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.