Computational Model Library

Displaying 10 of 83 results learning clear search

Irrigation game

Marco Janssen | Published Monday, July 23, 2012 | Last modified Saturday, April 27, 2013

Irrigation game calibrated on experimental data

This is a simulation model of an intelligent agent that has the objective to learn sustainable management of a renewable resource, such as a fish stock.

Prisoner's Dilemma Game on Complex Networks with Agents' Adaptive Expectations

Bo Xianyu | Published Wednesday, November 16, 2011 | Last modified Saturday, April 27, 2013

This model studies the effect of the agents’ adaptive expectation on cooperation frequency in the prisoner’s dilemma game in complex networks from an agent based approach. The model is implemented in Repast simphony 1.2.

ManPest

François Rebaudo | Published Tuesday, February 25, 2014 | Last modified Wednesday, August 27, 2014

The purpose of the model is to explore the impacts of global change on the ability of a community of farmers to adapt their practices to an agricultural pest.

SearchResource

Romulus-Catalin Damaceanu | Published Friday, May 04, 2012 | Last modified Saturday, April 27, 2013

An algorithm implemented in NetLogo that can be used for searching resources.

We demonstrate how a simple model of community associated Methicillin-resistant Staphylococcus aureus (CA-MRSA) can be easily constructed by leveraging the statecharts and ReLogo capabilities in Repast Simphony.

Peak-seeking Adder

J Kasmire Janne M Korhonen | Published Tuesday, December 02, 2014 | Last modified Friday, February 20, 2015

Continuing on from the Adder model, this adaptation explores how rationality, learning and uncertainty influence the exploration of complex landscapes representing technological evolution.

Thermostat II

María Pereda Jesús M Zamarreño | Published Thursday, June 12, 2014 | Last modified Monday, June 16, 2014

A thermostat is a device that allows to have the temperature in a room near a desire value.

A Generic Java Learning Classifier Library

Klaus Hufschlag | Published Friday, April 09, 2010 | Last modified Thursday, February 23, 2017

Complete Library for object oriented development of Classifier Systems. See for the concept behind.

Agents can influence each other if they are close enough in knowledge. The probability to convince with good knowledge and number of agents have an impact on the dissemination of knowledge.

Displaying 10 of 83 results learning clear search

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