Computational Model Library

Our mission is to help computational modelers develop, document, and share their computational models in accordance with community standards and good open science and software engineering practices. Model authors can publish their model source code in the Computational Model Library with narrative documentation as well as metadata that supports open science and emerging norms that facilitate software citation, computational reproducibility / frictionless reuse, and interoperability. Model authors can also request private peer review of their computational models. Models that pass peer review receive a DOI once published.

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 feel free to contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.

Displaying 10 of 1161 results for "Carlos A Castaneda-Marroquin" clear search

Consumats on a network

Marco Janssen | Published Tuesday, January 14, 2020 | Last modified Sunday, June 28, 2026

Consumer agents make choices which products to choose using the consumat approach. In this approach agents will make choices using deliberation, repetition, imitation or social comparison dependent on the level of need satisfaction and uncertainty.
The model is discussed in Introduction to Agent-Based Modeling by Marco Janssen. For more information see https://intro2abm.com/

A-KinGDom simulates the emergence of the social structure in a group of non-human primates. The model includes dominance and affiliative interactions which allow us to define four different attack and affiliative strategies.

Modeling information Asymmetries in Tourism

Jacopo A. Baggio Rodolfo Baggio | Published Monday, January 09, 2012 | Last modified Saturday, April 27, 2013

A very simple model elaborated to explore what may happens when buyers (travelers) have more information than sellers (tourist destinations)

This model aims to investigate how different type of learning (social system) and disturbance specific attributes (ecological system) influence adoption of treatment strategies to treat the effects of ecological disturbances.

The aim of this model is to explore and understand the factors driving adoption of treatment strategies for ecological disturbances, considering payoff signals, learning strategies and social-ecological network structure

A Double-Auction Equity Market For a Single Firm with AR1 Earnings

Eric Weisbrod | Published Monday, December 13, 2010 | Last modified Saturday, April 27, 2013

This 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

The Pampas Model is an Agent-Based Model intended to explore the dynamics of structural and land use changes in agricultural systems of the Argentine Pampas in response to climatic, technological economic, and political drivers.

ManPraSim: A Management Practice Simulation

peer-olaf_siebers | Published Wednesday, February 23, 2011 | Last modified Saturday, April 27, 2013

This simulation model is associated with the journal paper “A First Approach on Modelling Staff Proactiveness in Retail Simulation Models” to appear in the Journal of Artificial Societies and Social Simulation 14 (2) 2. The authors are Peer-Olaf Siebers (pos@cs.nott.ac.uk) and Uwe Aickelin (uxa@cs.nott.ac.uk).

A model of circular migration

Anna Klabunde | Published Wednesday, August 07, 2013 | Last modified Wednesday, February 17, 2016

An empirically validated agent-based model of circular migration

A test-bed ecological model

Bruce Edmonds | Published Sunday, May 04, 2014 | Last modified Wednesday, May 15, 2019

This is a multi-patch meta-population ecological model. It intended as a test-bed in which to test the impact of humans with different kinds of social structure.

Displaying 10 of 1161 results for "Carlos A Castaneda-Marroquin" clear search

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