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 1135 results for "Ian M Hamilton" clear search
Thoughtless conformity and spread of norms in an artificial society
Muhammad Azfar Nisar | Published Tuesday, May 27, 2014This model is based on Joshua Epstein’s (2001) model on development of thoughtless conformity in an artificial society of agents.
MERCURY: an ABM of tableware trade in the Roman East
Tom Brughmans Jeroen Poblome | Published Thursday, September 25, 2014 | Last modified Friday, May 01, 2015MERCURY aims to represent and explore two descriptive models of the functioning of the Roman trade system that aim to explain the observed strong differences in the wideness of distributions of Roman tableware.
Exploring organizational learning in innovation networks. An agent-based model
Sandra Schmid | Published Saturday, March 07, 2015This agent-based model represents a stylized inter-organizational innovation network where firms collaborate with each other in order to generate novel organizational knowledge.
An agent-based simulation of discussion processes in risk workshops
Matthias Meyer Clemens Harten Lucia Bellora-Bienengräber | Published Thursday, September 30, 2021The model measures drivers of effectiveness of risk assessments in risk workshops regarding the correctness and required time. Specifically, we model the limits to information transfer, incomplete discussions, group characteristics, and interaction patterns and investigate their effect on risk assessment in risk workshops.
The model simulates a discussion in the context of a risk workshop with 9 participants. The participants use Bayesian networks to assess a given risk individually and as a group.
LimnoSES - social-ecological lake management undergoing regime shifts
Romina Martin | Published Thursday, November 24, 2016 | Last modified Friday, January 18, 2019LimnoSES is a coupled system dynamics, agent-based model to simulate social-ecological feedbacks in shallow lake use and management.
SMILI-T: Small-scale fisheries institutions and local interactions for transformations
Emilie Lindkvist Maja Schlüter Xavier Basurto | Published Tuesday, January 09, 2018 | Last modified Friday, March 26, 2021This model examines how financial and social top-down interventions interplay with the internal self-organizing dynamics of a fishing community. The aim is to transform from hierarchical fishbuyer-fisher relationship into fishing cooperatives.
Opinion Leaders' Role in Innovation Diffusion
Peter Van Eck | Published Wednesday, March 10, 2010 | Last modified Saturday, April 27, 2013This model is used to investigate the role of opinion leader. More specifically: the influence of ‘innovative behavior’, ‘weigth of normative influence’, ‘better product judgment’, ‘number of opinion
CONSERVAT
Pieter Van Oel | Published Monday, April 13, 2015The CONSERVAT model evaluates the effect of social influence among farmers in the Lake Naivasha basin (Kenya) on the spatiotemporal diffusion pattern of soil conservation effort levels and the resulting reduction in lake sedimentation.
Cascades across networks are sufficient for the formation of echo chambers: An agent-based model
Jan-Philipp Fränken | Published Monday, January 11, 2021An agent-based model of echo chamber formation employing a Bayesian Source Credibility cognitive architecture limiting interactions to a single cascade.
Salzburg Bicycle model
Gudrun Wallentin | Published Saturday, October 29, 2016An ABM to simulate the spatio-temporal distribution of cyclists across the road network of the city of Salzburg.
Displaying 10 of 1135 results for "Ian M Hamilton" clear search