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Graham weingart connected past reanimating networks with agent modeling

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Graham weingart connected past reanimating networks with agent modeling

  1. 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. 2. Networks derived from central Italian brick stamp data
  3. 3. ...a landscape of possible outcomes... http://supermodelling.net/?p=148
  4. 4. A bazaar of possibilities Photo cc Dmgultekin , http://commons.wikimedia.org/wiki/File:Grand- Bazaar_Shop.jpg
  5. 5. 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.
  6. 6. Characteristics of some real world networks
  7. 7. All models are bad, but some are useful.

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