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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 149 results for "Daniele Vernon-Bido" clear search
Heuristic Algorithm for Generating Strategic Coalition Structures
Andrew Collins Daniele Vernon-Bido | Published Monday, October 12, 2020The purpose of the model is to generate coalition structures of different glove games, using a specially designed algorithm. The coalition structures can be are later analyzed by comparing them to core partitions of the game used. Core partitions are coalition structures where no subset of players has an incentive to form a new coalition.
The algorithm used in this model is an advancement of the algorithm found in Collins & Frydenlund (2018). It was used used to generate the results in Vernon-Bido & Collins (2021).
Human-in-the-loop Experiment of the Strategic Coalition Formation using the glove game
Andrew Collins | Published Monday, November 23, 2020 | Last modified Wednesday, June 22, 2022The purpose of the model is to collect information on human decision-making in the context of coalition formation games. The model uses a human-in-the-loop approach, and a single human is involved in each trial. All other agents are controlled by the ABMSCORE algorithm (Vernon-Bido and Collins 2020), which is an extension of the algorithm created by Collins and Frydenlund (2018). The glove game, a standard cooperative game, is used as the model scenario.
The intent of the game is to collection information on the human players behavior and how that compares to the computerized agents behavior. The final coalition structure of the game is compared to an ideal output (the core of the games).
Bid-rigging Norms Game Model
HIDEYUKI MOROFUJI | Published Tuesday, July 27, 2021 | Last modified Friday, May 12, 2023In this simulation, we modify the norms game model to bid-rigging (collusion) model, while we can simulate also the norms game model.
Modelling Farmers’ Adoption Potential to New Bioenergy Crops
Andrew Crooks | Published Tuesday, November 29, 2022A model that representa farmers potential to adopt bio-fuels in Georgia
Peer reviewed Swidden Farming Version 2.0
C Michael Barton | Published Wednesday, June 12, 2013 | Last modified Wednesday, September 03, 2014Model of shifting cultivation. All parameters can be controlled by the user or the model can be run in adaptive mode, in which agents innovate and select parameters.
Informal City version 1.0
Nina Schwarz | Published Friday, July 25, 2014 | Last modified Thursday, July 30, 2015InformalCity, a spatially explicit agent-based model, simulates an artificial city and allows for testing configurations of urban upgrading schemes in informal settlements.
On the liquidity of the illiquid (hard-to-trade) assets
Marcin Czupryna | Published Monday, January 13, 2025This paper investigates the impact of agents' trading decisions on market liquidity and transactional efficiency in markets for illiquid (hard-to-trade) assets. Drawing on a unique order book dataset from the fine wine exchange Liv-ex, we offer novel insights into liquidity dynamics in illiquid markets. Using an agent-based framework, we assess the adequacy of conventional liquidity measures in capturing market liquidity and transactional efficiency. Our main findings reveal that conventional liquidity measures, such as the number of bids, asks, new bids and new asks, may not accurately represent overall transactional efficiency. Instead, volume (measured by the number of trades) and relative spread measures may be more appropriate indicators of liquidity within the context of illiquid markets. Furthermore, our simulations demonstrate that a greater number of traders participating in the market correlates with an increased efficiency in trade execution, while wider trader-set margins may decrease the transactional efficiency. Interestingly, the trading period of the agents appears to have a significant impact on trade execution. This suggests that granting market participants additional time for trading (for example, through the support of automated trading systems) can enhance transactional efficiency within illiquid markets. These insights offer practical implications for market participants and policymakers aiming to optimise market functioning and liquidity.
Neolithic Spread Model Version 1.0
Sean Bergin Michael Barton Salvador Pardo Gordo Joan Bernabeu Auban | Published Thursday, December 11, 2014 | Last modified Monday, December 31, 2018This model simulates different spread hypotheses proposed for the introduction of agriculture on the Iberian peninsula. We include three dispersal types: neighborhood, leapfrog, and ideal despotic distribution (IDD).
Optimal Trading Strategies of Agents in a Population of Firms: An Agent-Based Approach to Soccer Transfer Markets
Kehinde Salau | Published Tuesday, December 16, 2008 | Last modified Saturday, April 27, 2013Default Initial skill, read ODD for more info. The purpose of the model presented by Salau is to study the ’player profit vs. club benefit’ dilemma present in professional soccer organizations.
Network-Based Trust Games
Bin-Tzong Chie | Published Thursday, August 22, 2013 | Last modified Wednesday, April 15, 2020The network-based trust game is a hybridization of both the repeated trust games and the network games.
Displaying 10 of 149 results for "Daniele Vernon-Bido" clear search