Computational Model Library

This model is based on Joshua Epstein’s (2001) model on development of thoughtless conformity in an artificial society of agents.

Neminem laedere: Socially damaging behaviours and how to contain them

Nicola Lettieri | Published Wed Jun 23 09:54:16 2010 | Last modified Sat Apr 27 20:18:40 2013

First version of the model “Neminem laedere. Socially damaging behaviours and how to contain them” by Domenico Parisi and Nicola Lettieri

Peer reviewed Umwelten Ants

Kit Martin | Published Thu Jan 15 16:19:41 2015 | Last modified Thu Aug 27 18:53:06 2015

Simulates impacts of ants killing colony mates when in conflict with another nest. The murder rate is adjustable, and the environmental change is variable. The colonies employ social learning so knowledge diffusion proceeds if interactions occur.

Social model of a Team Developing a Planning-Methodology

Oswaldo Terán Christophe Sibertin | Published Mon Nov 18 11:31:56 2013 | Last modified Sun Nov 16 16:12:44 2014

The model represents a team intended at designing a methodology for Institutional Planning. Included in ICAART’14 to exemplify how emotions can be identified in SocLab; and in ESSA’14 to show the Efficiency of Organizational Withdrawal vs Commitment.

This model simulates the motion picture industry and tests how social influences affect market shares. It is empirically validated at the micro level by a cross-cultural survey.

Exploration and Exploitation in Parallel Problem Solving Effect of Agent’s Imitation Strategy

Hua Zhang | Published Sat Jun 27 04:28:54 2009 | Last modified Sat Apr 27 20:18:32 2013

I extend Lazer’s model by adding agent’s two kinds of imitation strategies: selective imitation and structurally equivalent imitation. I examined the effect of interaction of network with agent behavi

Replicating the Macy & Sato Model: Trust, Cooperation and Market Formation in the U.S. and Japan

Oliver Will | Published Sat Aug 29 18:43:51 2009 | Last modified Sat Apr 27 20:18:43 2013

A replication of the model “Trust, Cooperation and Market Formation in the U.S. and Japan” by Michael W. Macy and Yoshimichi Sato.

Local scale mobility, namely foraging, leads to global population dispersal. Agents acquire information about their environment in two ways, one individual and one social. See also http://www.openabm.org/model/3846/

This is the R code of the mathematical model used for verification. This code corresponds to equations 1-9, 15-53, 58-62, 69-70, and 72-75 given in the paper “A Mathematical Model of The Beer Game”.

This model explores a social mechanism that links the reversal of the gender gap in education with changing patterns in relative divorce risks in 12 European countries.

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