About the CoMSES Model Library more info
Our mission is to help computational modelers at all levels engage in the establishment and adoption of community standards and good practices for developing and sharing computational models. Model authors can freely publish their model source code in the Computational Model Library alongside narrative documentation, open science metadata, and other emerging open science norms that facilitate software citation, reproducibility, interoperability, and reuse. Model authors can also request peer review of their computational models to receive a DOI.
All users of models published in the library must cite model authors when they use and benefit from their code.
Please check out our model publishing tutorial and contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with additional detailed metadata on availability of code and bibliometric information on the landscape of ABM/IBM publications that we welcome you to explore.
Displaying 6 of 6 results for "Amal Soliman" clear search
Heterogeneity of preferences and the dynamics of voluntary contributions to public goods
Engi Amin Amal Soliman Mohamed Abouelela | Published Thursday, August 18, 2016 | Last modified Thursday, January 25, 2018This model simulates the heterogeneity of preferences in a PG game and how the interaction between them affects the dynamics of voluntary contributions. Model is based on the results of a human-based experiment.
NetLogo HIV spread model
Wouter Vermeer | Published Friday, October 25, 2019This model describes the tranmission of HIV by means of unprotected anal intercourse in a population of men-who-have-sex-with-men.
The model is parameterized based on field data from a cohort study conducted in Atlanta Georgia.
Tiebout sorting
Marco Janssen | Published Thursday, January 24, 2019This Netlogo replication of Kollman, K., J.H. Miller and S.E. Page (1997) Political Institutions and Sorting in a Tiebout Model, American Economic Review 87(5): 977-992. The model consists of of citizens who can vote for partie and move to other jurisdictions if they expect their preferences are better served. Parties adjust their positions to increase their share in the elections.
A Double-Auction Equity Market For a Single Firm with AR1 Earnings
Eric Weisbrod | Published Monday, December 13, 2010 | Last modified Saturday, April 27, 2013This is a final project for the class AML 591 at Arizona State University. I have done a small amount of bug-checking, but overall the project represents only a half of a semester’s work, so proceed w
An Agent Based Model for implementing a double auction financial market
Annalisa Fabretti | Published Thursday, April 14, 2016The model implements a double auction financial markets with two types of agents: rational and noise. The model aims to study the impact of different compensation structure on the market stability and market quantities as prices, volumes, spreads.
The Epistemic Role of Diversity in Juries
Patrick Grim Daniel J Singer Aaron Bramson Bennett Holman Jiin Jung William J. Berger | Published Wednesday, August 16, 2023This model is linked to the paper “The Epistemic Role of Diversity in Juries: An Agent-Based Model”. There are many version of this model, but the current version focuses on the role of diversity in whether juries reach correct verdicts. Using this agent-based model, we argue that diversity can play at least four importantly different roles in affecting jury verdicts. (1) Where different subgroups have access to different information, equal representation can strengthen epistemic jury success. (2) If one subgroup has access to particularly strong evidence, epistemic success may demand participation by that group. (3) Diversity can also reduce the redundancy of the information on which a jury focuses, which can have a positive impact. (4) Finally, and most surprisingly, we show that limiting communication between diverse groups in juries can favor epistemic success as well.