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 4 of 4 results behavioral theory clear
Communication and Trust in a Commons Dilemma Experiment
Marco Janssen | Published Sunday, October 02, 2022An agent model is presented that aims to capture the impact of cheap talk on collective action in a commons dilemma. The commons dilemma is represented as a spatially explicit renewable resource. Agent’s trust in others impacts the speed and harvesting rate, and trust is impacted by observed harvesting behavior and cheap talk. We calibrated the model using experimental data (DeCaro et al. 2021). The best fit to the data consists of a population with a small frequency of altruistic and selfish agents, and mostly conditional cooperative agents sensitive to inequality and cheap talk. This calibrated model provides an empirical test of the behavioral theory of collective action of Elinor Ostrom and Humanistic Rational Choice Theory.
Peer reviewed collective action in urban community gardens
Arthur Feinberg Elena Hooijschuur Nicole Rogge Amineh Ghorbani Paulien Herder | Published Saturday, May 15, 2021this agent-based model explores the dynamics of volunteer participation in urban community gardens, by combining behavioral theory and institutional theory
Harvesting daisies in Daisyworld
Marco Janssen | Published Saturday, July 22, 2017Comparing impact of alternative behavioral theories in a simple social-ecological system.
Private forest owner management behavior using social interactions, information flow, and peer-to-peer n
Emily Silver Huff Jessica Leahy Aaron R Weiskittel Caroline L Noblet David Hiebeler | Published Tuesday, October 13, 2015This theoretical model includes forested polygons and three types of agents: forest landowners, foresters, and peer leaders. Agent rules and characteristics were parameterized from existing literature and an empirical survey of forest landowners.