Computational Model Library

RAGE models a stylized common property grazing system. Agents follow a certain behavioral type. The model allows analyzing how household behavior with respect to a social norm on pasture resting affects long-term social-ecological system dynamics.

Auctionsimulation

Deniz Kayar | Published Wed Aug 12 08:34:31 2020

This repository the multi-agent simulation software for the paper “Comparison of Competing Market Mechanisms with Reinforcement Learning in a CarPooling Scenario”. It’s a mutlithreaded Javaapplication.

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.

TERRoir level Organic matter Interactions and Recycling model

Myriam Grillot | Published Wed Apr 19 14:33:44 2017 | Last modified Wed Jun 17 14:13:35 2020

The TERROIR agent-based model was built for the multi-level analysis of biomass and nutrient flows within agro-sylvo-pastoral villages in West Africa. It explicitly takes into account both human organization and spatial extension of such flows.

OLIGO

Mason Wright | Published Thu Oct 24 21:55:58 2013 | Last modified Mon Apr 8 20:40:48 2019

A multi-agent model of oligarchy in a spatial election simulation.

A Multi-Agent Simulation Approach to Farmland Auction Markets

James Nolan | Published Wed Jun 22 03:04:02 2011 | Last modified Sat Apr 27 20:18:19 2013

This model explores the effects of agent interaction, information feedback, and adaptive learning in repeated auctions for farmland. It gathers information for three types of sealed-bid auctions, and one English auction and compares the auctions on the basis of several measures, including efficiency, price information revelation, and ability to handle repeated bidding and agent learning.

A simulation tool for capability-based team task allocation in emergency-responce environments

Afsaneh Fatemi | Published Wed Mar 16 06:07:47 2011 | Last modified Sat Apr 27 20:18:19 2013

Its a multi agent simulation environment, provided using JADE/Java. It gets the number of agents and tasks, then divides the physical environment to some segments, and then runs a greedy capability-based coalition formation and task allocation algorithm to assign tasks to groups of agents and complete the tasks.

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