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 8 of 8 results for 'Rodolfo Baggio'
Managing ecological disturbances: Learning and the structure of social-ecological networks
Jacopo Baggio Vicken Hillis | Published Friday, March 03, 2017 | Last modified Thursday, August 02, 2018The aim of this model is to explore and understand the factors driving adoption of treatment strategies for ecological disturbances, considering payoff signals, learning strategies and social-ecological network structure
Managing networked landscapes: conservation in fragmented, regionally connected world
Jacopo Baggio Michael Schoon Sechindra Vallury | Published Monday, December 09, 2019Exploring how learning and social-ecological networks influence management choice set and their ability to increase the likelihood of species coexistence (i.e. biodiversity) on a fragmented landscape controlled by different managers.
Success bias imitation increases the probability of effectively dealing with ecological disturbances
Jacopo Baggio Vicken Hillis | Published Thursday, April 13, 2017 | Last modified Thursday, August 02, 2018This model aims to investigate how different type of learning (social system) and disturbance specific attributes (ecological system) influence adoption of treatment strategies to treat the effects of ecological disturbances.
Effect of communication in irrigation games
Marco Janssen Jacopo Baggio | Published Wednesday, January 14, 2015 | Last modified Wednesday, August 09, 2017The model includes different formulations how agents make decisions in irrigation games and this is compared with empirical data. The aim is to test different theoretical models, especially explaining effect of communication.
Managing Connectivity: insights from modelling species interactions accross multiple scales in an idealized landscape
Jacopo Baggio Kehinde Salau Michael Schoon Marco Janssen | Published Monday, October 01, 2012 | Last modified Monday, January 20, 2014The model objective’s is to explore the management choice set to uncover which subsets of strategies are most effective at maximizing species coexistence on a fragmented landscape.
Comparing agent-based models on experimental data of irrigation games
Jacopo Baggio Marco Janssen | Published Tuesday, July 02, 2013 | Last modified Wednesday, July 03, 2013Comparing 7 alternative models of human behavior and assess their performance on a high resolution dataset based on individual behavior performance in laboratory experiments.
Landscape connectivity and predator–prey population dynamics
Jacopo Baggio | Published Thursday, November 10, 2011 | Last modified Saturday, April 27, 2013A simple model to assess the effect of connectivity on interacting species (i.e. predator-prey type)
Modeling information Asymmetries in Tourism
Rodolfo Baggio Jacopo Baggio | Published Monday, January 09, 2012 | Last modified Saturday, April 27, 2013A very simple model elaborated to explore what may happens when buyers (travelers) have more information than sellers (tourist destinations)