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

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Page 2: Graham weingart connected past reanimating networks with agent modeling

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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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.