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 426 results agent-based model clear search
Agent-based model of risk behavior in adolescence
N Schuhmacher P Van Geert L Ballato | Published Monday, June 24, 2013 | Last modified Monday, April 08, 2019The computer model simulates the development of a social network (i.e. formation of friendships and cliques), the (dyadic) interactions between pupils and the development of similarities and differences in their behavioral profiles.
“Food for all” (FFD)
José Ignacio Santos Martín José Manuel Galán Andreas Angourakis Andrea L Balbo | Published Friday, April 25, 2014 | Last modified Monday, April 08, 2019“Food for all” (FFD) is an agent-based model designed to study the evolution of cooperation for food storage. Households face the social dilemma of whether to store food in a corporate stock or to keep it in a private stock.
Stylized agricultural land-use model for resilience exploration
Patrick Bitterman | Published Tuesday, June 14, 2016 | Last modified Monday, April 08, 2019This model is a highly stylized land use model in the Clear Creek Watershed in Eastern Iowa, designed to illustrate the construction of stability landscapes within resilience theory.
Exploring homeowners' insulation activity
Jonas Friege Emile Chappin Georg Holtz | Published Monday, June 01, 2015 | Last modified Monday, April 08, 2019We built an agent-based model to foster the understanding of homeowners’ insulation activity.
Long Term Impacts of Bank Behavior on Financial Stability An Agent Based Modeling Approach
Ilker Arslan | Published Tuesday, October 13, 2015 | Last modified Monday, April 08, 2019This model simulates a bank - firm credit network.
Dental Routine Check-Up
Peyman Shariatpanahi Afshin Jafari | Published Thursday, March 10, 2016 | Last modified Monday, April 08, 2019We develop an agent-based model for collective behavior of routine medical check-ups, and specifically dental visits, in a social network.
An Agent-Based Simulation of Continuous-Time Public Goods Games
Tuong Vu | Published Thursday, May 17, 2018 | Last modified Tuesday, April 02, 2019To our knowledge, this is the first agent-based simulation of continuous-time PGGs (where participants can change contributions at any time) which are much harder to realise within both laboratory and simulation environments.
Work related to this simulation has been published in the following journal article:
Vu, Tuong Manh, Wagner, Christian and Siebers, Peer-Olaf (2019) ‘ABOOMS: Overcoming the Hurdles of Continuous-Time Public Goods Games with a Simulation-Based Approach’ Journal of Artificial Societies and Social Simulation 22 (2) 7 http://jasss.soc.surrey.ac.uk/22/2/7.html. doi: 10.18564/jasss.3995
Abstract:
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Nudging agents in social networks for collective action
Marco Janssen | Published Sunday, August 14, 2011 | Last modified Sunday, March 17, 2019Agents are linked in a social-network and make decisions on which of 2 types of behavior to adopt. We explore consequences of different information feedback and providing targeted feedback to individuals.
Peer reviewed Applying Brantingham’s Neutral Model of Stone Raw Material Procurement to the Pinnacle Point Middle Stone Age Record, Western Cape, South Africa
Simen Oestmo Marco Janssen Haley Cawthra | Published Sunday, March 10, 2019This model is an application of Brantingham’s neutral model to a real landscape with real locations of potential sources. The sources are represented as their sizes during current conditions, and from marine geophysics surveys, and the agent starts at a random location in Mossel Bay Region (MBR) surrounding the Archaeological Pinnacle Point (PP) locality, Western Cape, South Africa. The agent moves at random on the landscape, picks up and discards raw materials based only upon space in toolkit and probability of discard. If the agent happens to encounter the PP locality while moving at random the agent may discard raw materials at it based on the discard probability.
An Agent-based model of the economy with consumer credit
Paola D'Orazio Gianfranco Giulioni | Published Friday, April 15, 2016 | Last modified Thursday, March 07, 2019The model was built to study the links between consumer credit, wealth distribution and aggregate demand in a complex macroeconomics system.
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