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.
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LAMDA - Learning Agents for Mechanism-Design Analysis
Iris Lorscheid Matthias Meyer | Published Monday, August 08, 2016The simulation model LAMDA investigates the influences of varying cognitive abilities of the decision maker on the truth-inducing effect of the Groves mechanism. Bounded rationality concepts are represented by information states and learning models.
Peter Diamond's Coconut Model (Heterogeneity and Learning)
Sven Banisch Eckehard Olbrich | Published Monday, May 30, 2016Agent-based version of the simple search and barter economy conceived by Peter Diamond in 1982. The model is also known as Coconut Model.
Central-place forager mobility and cultural diversity
Luke Premo | Published Wednesday, May 18, 2016This spatially explicit agent-based model addresses how effective foraging radius (r_e) affects the effective size–and thus the equilibrium cultural diversity–of a structured population composed of central-place foraging groups.
Effective population size and cultural evolution
Luke Premo | Published Tuesday, May 17, 2016This model illustrates how the effective population size and the rate of change in mean skill level of a cultural trait are affected by the presence of natural selection and/or the cultural transmission mechanism by which it is passed.
Hedonic and Eudaimonic Well-being Based Reward for Intrinsic Motivated Reinforcement Learning Agents
Yue Gao Shimon Edelman | Published Monday, March 21, 2016The code contains four experiments for well-being based IMRL reward features.
The relationship between product information quantity and diversity of consumer decisions
Marco Janssen Takao Sasaki David Vaughn Becker Rebecca Neel | Published Tuesday, October 27, 2015We developed an agent-based model to explore underlying mechanisms of behavioral clustering that we observed in human online shopping experiments.
Influence with over-confident agents
Juliette Rouchier Emily Tanimura | Published Wednesday, October 21, 2015Agents can influence each other if they are close enough in knowledge. The probability to convince with good knowledge and number of agents have an impact on the dissemination of knowledge.
Citation Agents: A model of collective learning through scientific publication
Christopher Watts | Published Friday, July 31, 2015Simulates the construction of scientific journal publications, including authors, references, contents and peer review. Also simulates collective learning on a fitness landscape. Described in: Watts, Christopher & Nigel Gilbert (forthcoming) “Does cumulative advantage affect collective learning in science? An agent-based simulation”, Scientometrics.
REHAB: A Role Playing Game to Explore the Influence of Knowledge and Communication on Natural Resources Management
Christophe Le Page Anne Dray Pascal Perez Claude Garcia | Published Monday, July 13, 2015 | Last modified Monday, July 13, 2015REHAB has been designed as an ice-breaker in courses dealing with ecosystem management and participatory modelling. It helps introducing the two main tools used by the Companion Modelling approach, namely role-playing games and agent-based models.
Seasonal Social Networks and Learning Opportunities Under Unbiased Cultural Transmission
Adam Rorabaugh | Published Monday, May 18, 2015This agent-based model examines the impact of seasonal aggregation, dispersion, and learning opportunities on the richness and evenness of artifact styles under random social learning (unbiased transmission).
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