About the CoMSES Model Library more info
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.
We also maintain a curated database of over 7500 publications of agent-based and individual based models with 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 1169 results for "Ian M Hamilton" clear search
Peer reviewed Ideal Free Distribution of Mobile Pastoralists in the Logone Floodplain, Cameroon
Jeff Cronley Andrew Yoak Mark Moritz Hongyang Pi Ian M Hamilton Paul Maddock | Published Thursday, June 19, 2014 | Last modified Saturday, January 06, 2018The purpose of the model is to examine whether and how mobile pastoralists are able to achieve an Ideal Free Distribution (IFD).
Peer reviewed Family Herd Demography
Mark Moritz Ian M Hamilton Andrew Yoak Rebecca Garabed Abigail Buffington | Published Monday, August 15, 2016 | Last modified Saturday, January 06, 2018The model examines the dynamics of herd growth in African pastoral systems. We used it to examine the role of scale (herd size) stochasticity (in mortality, fertility, and offtake) on herd growth.
Peer reviewed Infectious diseases model for mixed-methods research chapter
Mark Moritz Ian M Hamilton Chelsea E Hunter Daniel C Peart | Published Sunday, January 30, 2022The purpose of this curricular model is to teach students the basics of modeling complex systems using agent-based modeling. It is a simple SIR model that simulates how a disease spreads through a population as its members change from susceptible to infected to recovered and then back to susceptible. The dynamics of the model are such that there are multiple emergent outcomes depending on the parameter settings, initial conditions, and chance.
The curricular model can be used with the chapter Agent-Based Modeling in Mixed Methods Research (Moritz et al. 2022) in the Handbook of Teaching Qualitative & Mixed Methods (Ruth et al. 2022).
The instructional videos can be accessed on YouTube: Video 1 (https://youtu.be/32_JIfBodWs); Video 2 (https://youtu.be/0PK_zVKNcp8); and Video 3 (https://youtu.be/0bT0_mYSAJ8).
Peer reviewed Coupled demographic dynamics of herd and household in pastoral systems
Mark Moritz Ian M Hamilton Andrew Yoak Abigail Buffington Chelsea E Hunter Daniel C Peart | Published Saturday, April 08, 2023This purpose of this model is to understand how the coupled demographic dynamics of herds and households constrain the growth of livestock populations in pastoral systems.
PR-M: The Peer Review Model
Mario Paolucci Francisco Grimaldo | Published Sunday, November 10, 2013 | Last modified Wednesday, July 01, 2015This is an agent-based model of peer review built on the following three entities: papers, scientists and conferences. The model has been implemented on a BDI platform (Jason) that allows to perform both parameter and mechanism exploration.
Mikania micrantha control in western Chitwan community forests
Jie Dai | Published Thursday, August 20, 2020This model simulates the household participation in large-scale M. micrantha intervention campaigns and the response of M. micrantha to the intervention.
Institutions and Cooperation in an Ecology of Games
Paul Smaldino | Published Wednesday, November 29, 2017Dynamic bipartite network model of agents and games in which agents can participate in multiple public goods games.
The Effect of Merger and Acquisitions on the IS Function: An Agent Based Simulation Model
Andrea Genovese | Published Tuesday, June 23, 2009 | Last modified Saturday, April 27, 2013Merger and acquisition (M&A) activity has many strategic and operational objectives. One operational objective is to develop common and efficient information systems that maybe the source of creating
A Multi-level Multi-model of Collective Motion
Benjamin Camus Christine Bourjot Vincent Chevrier | Published Wednesday, March 25, 2015This multi-model (i.e. a model composed of interacting submodels) is a multi-level representation of a collective motion phenomenon. It was designed to study the impact of the mutual influences between individuals and groups in collective motion.
Peer reviewed Modelling the Social Complexity of Reputation and Status Dynamics
André Grow Andreas Flache | Published Wednesday, February 01, 2017 | Last modified Wednesday, January 23, 2019The purpose of this model is to illustrate the use of agent-based computational modelling in the study of the emergence of reputation and status beliefs in a population.
Displaying 10 of 1169 results for "Ian M Hamilton" clear search