Computational Model Library

Displaying 10 of 60 results for "Anne Dray" clear search

Peak-seeking Adder

Julia 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.

Extra Innovation Adder

Julia Kasmire Janne M Korhonen | Published Friday, December 05, 2014

One of four extensions to the standard Adder model that replicates a common type of transition experiment.

Extra Radical Adder

Julia Kasmire Janne M Korhonen | Published Friday, December 05, 2014

This is one of four extensions to the standard Adder model that replicate the various interventions typical of transition experiments.

Niche Protect Adder

Julia Kasmire Janne M Korhonen | Published Friday, December 05, 2014

One of four extensions to the standard Adder model that replicates the various interventions typically associated with transition experiments.

All Together Adder

Julia Kasmire Janne M Korhonen | Published Friday, December 05, 2014

The fourth and final extension to the standard Adder model to replicate the various interventions typically associated with Transition Experiments.

Peer reviewed Historical Letters

Bernardo Buarque Malte Vogl Jascha Merijn Schmitz Aleksandra Kaye | Published Thursday, May 16, 2024 | Last modified Friday, May 24, 2024

A letter sending model with historically informed initial positions to reconstruct communication and archiving processes in the Republic of Letters, the 15th to 17th century form of scholarship.

The model is aimed at historians, willing to formalize historical assumptions about the letter sending process itself and allows in principle to set heterogeneous social roles, e.g. to evaluate the role of gender or social status in the formation of letter exchange networks. The model furthermore includes a pruning process to simulate the loss of letters to critically asses the role of biases e.g. in relation to gender, geographical regions, or power structures, in the creation of empirical letter archives.

Each agent has an initial random topic vector, expressed as a RGB value. The initial positions of the agents are based on a weighted random draw based on data from [2]. In each step, agents generate two neighbourhoods for sending letters and potential targets to move towards. The probability to send letters is a self-reinforcing process. After each sending the internal topic of the receiver is updated as a movement in abstract space by a random amount towards the letters topic.

This model simulates the propagation of photons in a water tank. A source of light emits an impulse of photons with equal energy represented by yellow dots. These photons are then scattered by water particles before possibly reaching the photo-detector represented by a gray line. Different types of water are considered. For each one of them we calculate the total received energy.

The water tank is represented by a blue rectangle with fixed dimensions. It’s exposed to the air interface and has totally absorbent barriers. Four types of water are supported. Each one is characterized by its absorption and scattering coefficients.
At the source, the photons are generated uniformly with a random direction within the beamwidth. Each photon travels a random distance drawn from a distribution depending on the water characteristics before encountering a water particle.
Based on the updated position of the photon, three situations may occur:
-The photon hits the barrier of the tank on its trajectory. In this case it’s considered as lost since the barriers are assumed totally absorbent.

A simplified Arthur & Polak logic circuit model of combinatory technology build-out via incremental development. Only some inventions trigger radical effects, suggesting they depend on whole interdependent systems rather than specific innovations.

Bicycle encounter model

Gudrun Wallentin | Published Saturday, October 29, 2016 | Last modified Friday, March 29, 2019

This Bicycle encounter model builds on the Salzburg Bicycle model (Wallentin & Loidl, 2015). It simulates cyclist flows and encounters, which are locations of potential accidents between cyclists.

Overview

The Weather model is a procedural generation model designed to create realistic daily weather data for socioecological simulations. It generates synthetic weather time series for solar radiation, temperature, and precipitation using algorithms based on sinusoidal and double logistic functions. The model incorporates stochastic variation to mimic unpredictable weather patterns and aims to provide realistic yet flexible weather inputs for exploring diverse climate scenarios.

The Weather model can be used independently or integrated into larger models, providing realistic weather patterns without extensive coding or data collection. It can be customized to meet specific requirements, enabling users to gain a better understanding of the underlying mechanisms and have greater confidence in their applications.

Displaying 10 of 60 results for "Anne Dray" clear search

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