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 10 of 1038 results for "Oto Hudec" clear search
The Evolution of Multiple Resistant Strains: An Abstract Model of Systemic Treatment and Accumulated Resistance
Benjamin Nye | Published Wednesday, August 31, 2011 | Last modified Saturday, April 27, 2013This model is intended to explore the effectiveness of different courses of interventions on an abstract population of infections. Illustrative findings highlight the importance of the mechanisms for variability and mutation on the effectiveness of different interventions.
Peer reviewed Hohokam Trade Networks Model
Joshua Watts | Published Sunday, October 26, 2014The Hohokam Trade Networks Model focuses on key features of the Hohokam economy to explore how differences in trade network topologies may show up in the archaeological record. The model is set in the Phoenix Basin of central Arizona, AD 200-1450.
A simplified Arthur & Polak logic circuit model of combinatory technology build-out via incremental development. Only some inventions trigger radical effects, suggesting they depend on whole interdependent systems rather than specific innovations.
Peer reviewed Empathy & Power
J Applegate Ned Wellman | Published Monday, November 13, 2017 | Last modified Thursday, December 21, 2017The purpose of this model is to explore the effects of different power structures on a cross-functional team’s prosocial decision making. Are certain power distributions more conducive to the team making prosocial decisions?
Environmental knowledge inhibits hominin dispersal
Colin Wren | Published Thursday, November 09, 2017Local 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/
Cyberworld 1
Dmitry Brizhinev Nathan Ryan Roger Bradbury | Published Thursday, April 23, 2015 | Last modified Sunday, February 25, 2018A Repast Simphony model of interactions (conflict and cooperation) between states
Peer reviewed agent-based model studying money
Juan Ocampo | Published Thursday, March 04, 2021 | Last modified Monday, March 15, 20211.7 billion people appear to be financially excluded. Due to the relevance of the problem, special purpose monies known as Complementary Currencies (CC) seem to be a potential solution. This doctoral project inquiries into the organising of money and its performative effects. It does so by following the communities designing CC and engineering their markets.
Toy Trader 2019
Timothy Gooding | Published Sunday, February 24, 2019A model that strips trade down to its core to explore foundational emergent behaviour and evolution in trade systems.
PluchinoEtAl_ExtendedByAC
Andre Costopoulos | Published Tuesday, September 03, 2019 | Last modified Friday, January 31, 2020Extension of Pluchino et al.’s 2018 success vs talent model, to allow talented individuals to mitigate unlucky events.
RETURN MIGRATION AFTER BRAIN DRAIN: A SIMULATION APPROACH
Alessio Emanuele Biondo Alessandro Pluchino Andrea Rapisarda | Published Friday, June 21, 2013This 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 1038 results for "Oto Hudec" clear search