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 7 of 17 results for 'Paul Maddock'
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.
Simulating the evolution of the human family
Paul Smaldino | Published Wednesday, November 29, 2017The (cultural) evolution of cooperative breeding in harsh environments.
Interplay between stakeholders of the management of a river
Christophe Sibertin-Blanc Pascal Roggero Bertrand Baldet | Published Wednesday, November 12, 2014This model describes and analyses the outcomes of the confrontation of interests, some conflicting, some common, about the management of a small river in SW France
An Agent-Based Model of Internet Diffusion Under General and Specific Network Externalities
Filiz Garip | Published Friday, April 27, 2012 | Last modified Saturday, April 27, 2013Using nodes from the 2002 General Social Survey sample, the code establishes a network of ties with a given homophily bias, and simulates Internet adoption rates in that network under three conditions: (i) no network externalities, (ii) general network externalities, where an individual’s reservation price is a function of the overall adoption rate in the network, (iii) specific network externalities, where reservation price is a function of the adoption rate in individual’s personal […]
Human mate choice is a complex system
Paul Smaldino Jeffrey C Schank | Published Friday, February 08, 2013 | Last modified Saturday, April 27, 2013A general model of human mate choice in which agents are localized in space, interact with close neighbors, and tend to range either near or far. At the individual level, our model uses two oft-used but incompletely understood decision rules: one based on preferences for similar partners, the other for maximally attractive partners.
Adoption as a social marker
Paul Smaldino | Published Monday, October 17, 2016A model of innovation diffusion in a structured population with two groups who are averse to adopting a produce popular with the outgroup.
Collective Cognition in Online Conversations
Paul Dwyer | Published Saturday, November 28, 2009 | Last modified Saturday, April 27, 2013Used in working paper: MEASURING COLLECTIVE COGNITION IN ONLINE CONVERSATIONS
Displaying 7 of 17 results for 'Paul Maddock'