Computational Model Library

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This model is a small extension (rectangular layout) of Joshua Epstein’s (2001) model on development of thoughtless conformity in an artificial society of agents.

Three policy scenarios for urban expansion under the influences of the behaviours and decision modes of four agents and their interactions have been applied to predict the future development patterns of the Guangzhou metropolitan region.

The ABM looks at how the performance of Water Service Delivery is affected by the relation between management practices and integrity in terms of transparency, accountability and participation

Land-Livelihood Transitions

Nicholas Magliocca Daniel G Brown Erle C Ellis | Published Monday, September 09, 2013 | Last modified Friday, September 13, 2013

Implemented as a virtual laboratory, this model explores transitions in land-use and livelihood decisions that emerge from changing local and global conditions.

Network-Based Trust Games

Bin-Tzong Chie | Published Thursday, August 22, 2013 | Last modified Wednesday, April 15, 2020

The network-based trust game is a hybridization of both the repeated trust games and the network games.

Evolution of Conditional Cooperation

M Manning Marco Janssen Oyita Udiani | Published Thursday, August 01, 2013 | Last modified Friday, May 13, 2022

Cultural group selection model used to evaluate the conditions for agents to evolve who have other-regarding preferences in making decisions in public good games.

Ants in the genus Temnothorax use tandem runs (rather than pheromone trails) to recruit to food sources. This model explores the collective consequences of this linear recruitment (as opposed to highly nonlinear pheromone trails).

Agent-based model of risk behavior in adolescence

N Schuhmacher P Van Geert L Ballato | Published Monday, June 24, 2013 | Last modified Monday, April 08, 2019

The computer model simulates the development of a social network (i.e. formation of friendships and cliques), the (dyadic) interactions between pupils and the development of similarities and differences in their behavioral profiles.

We reconstruct Cohen, March and Olsen’s Garbage Can model of organizational choice as an agent-based model. We add another means for avoiding making decisions: buck-passing difficult problems to colleagues.

This model, realized on the NetLogo platform, compares utility levels at home and abroad to simulate agents’ migration and their eventual return. Our model is based on two fundamental individual features, i.e. risk aversion and initial expectation, which characterize the dynamics of different agents according to the evolution of their social contacts.

Displaying 10 of 187 results decision clear search

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