Computational Model Library

Displaying 10 of 191 results for "David Nortes-Martinez" clear search

We compare three model estimates for the time and treatment requirements to eliminate HCV among HIV-positive MSM in Victoria, Australia: a compartmental model; an ABM parametrized by surveillance data; and an ABM with a more heterogeneous population.

Atomic Radius

Kit Martin Ashlyn Karan | Published Friday, January 16, 2015

Due to teacher requests to represent changes in atomic radius, we developed a visualization of the first 36 elements in Netlogo

Peer reviewed PPHPC - Predator-Prey for High-Performance Computing

Nuno Fachada | Published Saturday, August 08, 2015 | Last modified Wednesday, November 25, 2015

PPHPC is a conceptual model for studying and evaluating implementation strategies for spatial agent-based models (SABMs). It is a realization of a predator-prey dynamic system, and captures important SABMs characteristics.

Game of Thrones model

Claudine Gravel-Miguel Sean Bergin | Published Sunday, January 03, 2021 | Last modified Sunday, January 03, 2021

This model slowly evolves to become Westeros, with houses fighting for the thrones, and whitewalkers trying to kill all living things. You can download each version to see the evolution of the code, from the Wolf Sheep Predation model to the Game of Thrones model. If you are only interested in the end product, simply download the latest version.

For instructions on each step, see: https://claudinegravelmigu.wixsite.com/got-abm

A Simulation of Entrepreneurial Spawning

Mark Bagley | Published Wednesday, June 08, 2016 | Last modified Friday, June 30, 2017

Industrial clustering patterns are the result of an entrepreneurial process where spinoffs inherit the ideas and attributes of their parent firms. This computational model maps these patterns using abstract methodologies.

A multithreaded PPHPC replication in Java

Nuno Fachada | Published Saturday, October 31, 2015 | Last modified Tuesday, January 19, 2016

A multithreaded replication of the PPHPC model in Java for testing different ABM parallelization strategies.

Reducing packaging waste is a critical challenge that requires organizations to collaborate within circular ecosystems, considering social, economic, and technical variables like decision-making behavior, material prices, and available technologies. Agent-Based Modeling (ABM) offers a valuable methodology for understanding these complex dynamics. In our research, we have developed an ABM to explore circular ecosystems’ potential in reducing packaging waste, using a case study of the Dutch food packaging ecosystem. The model incorporates three types of agents—beverage producers, packaging producers, and waste treaters—who can form closed-loop recycling systems.

Beverage Producer Agents: These agents represent the beverage company divided into five types based on packaging formats: cans, PET bottles, glass bottles, cartons, and bag-in-boxes. Each producer has specific packaging demands based on product volume, type, weight, and reuse potential. They select packaging suppliers annually, guided by deterministic decision styles: bargaining (seeking the lowest price) or problem-solving (prioritizing high recycled content).

Packaging Producer Agents: These agents are responsible for creating packaging using either recycled or virgin materials. The model assumes a mix of monopolistic and competitive market situations, with agents calculating annual material needs. Decision styles influence their choices: bargaining agents compare recycled and virgin material costs, while problem-solving agents prioritize maximum recycled content. They calculate recycled content in packaging and set prices accordingly, ensuring all produced packaging is sold within or outside the model.

Quality uncertainty and market failure: an interactive model to conduct classroom experiments

AMBAWA simulates the flows of biomass between crop and livestock systems at the field, farm, and village scales in order to showcase innovating management practices of soil fertility in West Africa.

We propose an agent-based model where a fixed finite population of tagged agents play iteratively the Nash demand game in a regular lattice. The model extends the bargaining model by Axtell, Epstein and Young.

Displaying 10 of 191 results for "David Nortes-Martinez" clear search

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