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 108 results for "Marco Alberti" clear search
Peer reviewed Egalitarian sharing
MARCOS PINHEIRO | Published Friday, January 27, 2023The model explores food distribution patterns that emerge in artificial small-scale human groups when agents follow a set of spatially explicit sharing interaction rules derived from a theory on the evolution of the egalitarian social instinct.
Peer reviewed HUMLAND2: HUMan impact on LANDscapes agent-based model
Anastasia Nikulina Katharine MacDonald Anhelina Zapolska Maria Antonia Serge Marco Davoli Elena A. Pearce Dave van Wees Fulco Scherjon | Published Friday, August 30, 2024The HUMan Impact on LANDscapes (HUMLAND) 2.0.0 is an enhanced version of HUMLAND 1.0.0, developed to track and quantify the intensity of various impacts on landscapes at a continental scale. The model is designed to identify the most influential factors in the transformation of interglacial vegetation, with a particular focus on the burning practices of hunter-gatherers. HUMLAND 2.0.0 incorporates a wide range of spatial datasets as both inputs and targets (expected modelling results) for simulations across Last Interglacial (~130,000–116,000 BP) and Early Holocene (~11,700–8,000 BP).
WeDiG Sim
Reza Shamsaee | Published Monday, May 14, 2012 | Last modified Saturday, April 27, 2013WeDiG Sim- Weighted Directed Graph Simulator - is an open source application that serves to simulate complex systems. WeDiG Sim reflects the behaviors of those complex systems that put stress on scale-free, weightedness, and directedness. It has been implemented based on “WeDiG model” that is newly presented in this domain. The WeDiG model can be seen as a generalized version of “Barabási-Albert (BA) model”. WeDiG not only deals with weighed directed systems, but also it can handle the […]
How does the world population adapt its policies on energy when it is confronted with a climate change? This model combines a climate-economy model with adaptive agents.
Resource distribution effects on optimal foraging theory
Marco Janssen Kim Hill | Published Friday, January 27, 2017The original Ache model is used to explore different distributions of resources on the landscape and it’s effect on optimal strategies of the camps on hunting and camp movement.
The MOBILITY model analyzes how agents’ mobility affects the performance of social-ecological systems in different landscape configurations.
Diffusion of Innovations on Social Networks
Hang Xiong | Published Saturday, April 16, 2016This is model that simulates how multiple kinds of peer effects shape the diffusion of innovations through different types of social relationships.
A discrete-time stochastic model with state-dependent transmission probabilities and multi-agent simulations focusing on possible risks that could materialize in the final phase of the epidemic.
Peer reviewed Evolution of Cooperation in Asymmetric Commons Dilemmas
Marco Janssen Nathan Rollins | Published Friday, August 20, 2010 | Last modified Saturday, April 27, 2013This model can be used to explore under which conditions agents behave as observed in field experiments on irrigation games.
Lakeland 2 is a simple version of the original Lakeland of Jager et al. (2000) Ecological Economics 35(3): 357-380. The model can be used to explore the consequences of different behavioral assumptions on resource and social dynamics.
Displaying 10 of 108 results for "Marco Alberti" clear search