Graham weingart connected past reanimating networks with agent modeling
Transcript of Graham weingart connected past reanimating networks with agent modeling
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Reanimating Networks with Agent Modeling
Some rights reserved by Pedro Vezini
Shawn Graham with Scott Weingart
Carleton University, Indiana University@electricarchaeo
@scott_bot
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Networks derived from central Italian brick stamp data
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...a landscape of possible outcomes...
http://supermodelling.net/?p=148
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A bazaar of possibilities
Photo cc Dmgultekin , http://commons.wikimedia.org/wiki/File:Grand-Bazaar_Shop.jpg
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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.
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Characteristics of some real world networks
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All models are bad, but some are useful.