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Theories and formal models to illustrate the ideas found among the articles and books highlighted on this website.

Gonçalves 2003: Herding Financial Market

“Artificial Financial Market” by Carlos Pedro Gonçalves, NetLogo User Community Models, 01-Dec-03, http://bit.ly/2gQ6bro Much of text-book financial theories are based upon the “efficient market hypothesis” where we assume that all agents have complete information and make perfectly rational decisions.  Within … Continue reading →

Sugarscape Model

The Sugarscape suite comprises three cellular automata models built in NetLogo, all adapted from Epstein & Axtell’s Sugarscape studies, as documented in Chapter 2 of their book Growing Artificial Societies: Social Science from the Bottom Up. These agent-based models simulates … Continue reading →

Standing Ovation Model

A peer-effects model with a two-factor decision making process where individuals in a crowd base decisions upon both their own opinions and the behavior of others.  Like the Granovetter model, the Standing Ovation model (SOM) reveals that diversity in the population … Continue reading →

Granovettor Peer Effects Model

A simple, paper-based model which reveals that whether collective actions (from new fashions to rioting) will be easy or hard to get started depending upon the distribution of people’s thresholds for joining. This write-up is a distillation of Scott E. Page’s … Continue reading →

“Social Climbers” Model

How would we model the ideas presented in Hochschild and Frank 25-Oct-16 (article)? Hochschild cites frustration at being cheated on one’s “rightful place in line” as the root cause of the vitriolic populism we’ve seen during the 2016 presidential election. … Continue reading →