1. Reanimating Networks with
Agent Modeling
Shawn Graham with
Scott Weingart
Carleton University,
Indiana University
Some rights reserved by Pedro Vezini
@electricarchaeo
@scott_bot

2. Networks derived from central
Italian brick stamp data

3. ...a landscape of possible outcomes...
http://supermodelling.net/?p=148

4. A bazaar of possibilities
Photo cc Dmgultekin , http://commons.wikimedia.org/wiki/File:Grand-
Bazaar_Shop.jpg

7. 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.

8. Characteristics of some real
world networks

10. All models are bad, but some
are useful.