Computational Model Library

Displaying 10 of 186 results for "Nuno R Barros De Oliveira" clear search

Swidden farming by individual households

C Michael Barton | Published Sunday, April 27, 2008 | Last modified Saturday, April 27, 2013

Swidden Farming is designed to explore the dynamics of agricultural land management strategies.

Patch choice model from Optimal Foraging Theory (Human Behavioral Ecology)

C Michael Barton | Published Saturday, November 22, 2008 | Last modified Saturday, April 27, 2013

NetLogo model of patch choice model from optimal foraging theory (human behavioral ecology).

Diet breadth model from Optimal Foraging Theory (Human Behavioral Ecology)

C Michael Barton | Published Wednesday, November 26, 2008 | Last modified Thursday, March 12, 2015

Diet breadth is a classic optimal foraging theory (OFT) model from human behavioral ecology (HBE). Different resources, ranked according to their food value and processing costs, are distributed in th

Hominin ecodynamics v.2

C Michael Barton | Published Monday, September 19, 2011 | Last modified Friday, March 28, 2014

Simulates biobehavioral interactions between 2 populations of hominins.

Peer reviewed Hominin ecodynamics v.1

C Michael Barton | Published Saturday, October 01, 2011 | Last modified Friday, March 28, 2014

Biobehavioral interactions between two populations under different movement strategies.

Hominin Ecodynamics v.1.1 (update for perception and interaction)

C Michael Barton | Published Wednesday, August 15, 2012 | Last modified Saturday, April 27, 2013

Models land-use, perception, and biocultural interactions between two forager populations.

Peer reviewed Swidden Farming Version 2.0

C Michael Barton | Published Wednesday, June 12, 2013 | Last modified Wednesday, September 03, 2014

Model 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.

Gradient Descent Simulation

Ilyes Azouani | Published Wednesday, March 18, 2026

This model visualizes gradient descent optimization - the fundamental algorithm used to train neural networks and other machine learning models. Agents represent different optimization algorithms searching for the minimum of a loss landscape (the “error surface” that ML models try to minimize during training).

The model demonstrates how different optimizer types (SGD, Momentum with different parameters) behave on various loss landscapes, from simple bowls to the notoriously difficult Rosenbrock “banana valley” function. This helps build intuition about why certain optimization algorithms work better than others for different problem geometries.

HOW IT WORKS

Peer reviewed Routes & Rumours 0.1.1

Jakub Bijak Martin Hinsch Oliver Reinhardt | Published Tuesday, July 12, 2022

Routes & Rumours is an agent-based model of (forced) human migration. We model the formation of migration routes under the assumption that migrants have limited geographical knowledge concerning the transit area and rely to a large degree on information obtained from other migrants.

The model proposes a translation of some Luhmann’s concepts (social sub-system, perturbation, dissipation, social communication and power) into a model using a stylized spatial-society as a metaphor of a Luhmann’s social subsystem. The model has been used to improve the social theory understanding and to evaluate the effect of different parameterization in the global stabilization and individual/social power distribution.

Displaying 10 of 186 results for "Nuno R Barros De Oliveira" clear search

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