Computational Model Library

Displaying 10 of 161 results for "Hauke Reuter" clear search

This is an extension of the basic Suceptible, Infected, Recovered (SIR) model. This model explores the spread of disease in two spaces, one a treatment, and one a control. Through the modeling options, one can explore how changing assumptions about the number of susceptible people, starting number of infected people, the disease’s infection probability, and average duration impacts the outcome. In addition, this version allows users to explore how public health interventions like social distancing, masking, and isolation can affect the number of people infected. The model shows that the interactions of agents, and the interventions can drastically affect the results of the model.

We used the model in our course about COVID-19: https://www.csats.psu.edu/science-of-covid19

Social model of a Team Developing a Planning-Methodology

Oswaldo Terán Christophe Sibertin | Published Monday, November 18, 2013 | Last modified Sunday, November 16, 2014

The model represents a team intended at designing a methodology for Institutional Planning. Included in ICAART’14 to exemplify how emotions can be identified in SocLab; and in ESSA’14 to show the Efficiency of Organizational Withdrawal vs Commitment.

Institutional change

Abigail Sullivan | Published Friday, October 07, 2016 | Last modified Sunday, December 02, 2018

This model builds on another model in this library (“diffusion of culture”).

The objective of the model is to evaluate the impact of seasonal forecasts on a farmer’s net agricultural income when their crop choices have different and variable costs and returns.

Team Cognition

Iris Lorscheid | Published Sunday, May 23, 2021

The teamCognition model investigates team decision processes by using an agent-based model to conceptualize team decisions as an emergent property. It uses a mixed-method research design with a laboratory experiment providing qualitative and quantitative input for the model’s construction, as well as data for an output validation of the model. The agent-based model is used as a computational testbed to contrast several processes of team decision making, representing potential, simplified mechanisms of how a team decision emerges. The increasing overall fit of the simulation and empirical results indicates that the modeled decision processes can at least partly explain the observed team decisions.

Absorption of particulate matter by leafs

Chiara Letter Georg Jäger | Published Monday, November 12, 2018 | Last modified Monday, November 12, 2018

This model aims to understand the interaction between particulate matter and leaves of trees. The particles collide with the leaf and can either be absorbed with a certain probability, otherwise they bounce off it. The absorptions are detected in a counter.
The movement of the particles depends mainly on the strength and direction of the wind and the air temperature. They also show a certain random movement, but the proportion is negligible.
In a collision with the leaf, the particles are absorbed with a certain probability (absorption-probability), otherwise repelled.

HCAM: A Hybrid Climate Assessment Model

Peer-Olaf Siebers | Published Wednesday, November 06, 2019

This model is part of a JASSS article that introduce a conceptual framework for developing hybrid (system dynamics and agent-based) integrated assessment models, which focus on examining the human impacts on climate change. This novel modelling approach allows to reuse existing rigid, but well-established integrated assessment models, and adds more flexibility by replacing aggregate stocks with a community of vibrant interacting entities. The model provides a proof-of-concept of the application of this conceptual framework in form of an illustrative example. taking the settings of the US. It is solely created for the purpose of demonstrating our hybrid modelling approach; we do not claim that it has predictive powers.

SpeciesWorld

Tony Lawson | Published Friday, March 16, 2012 | Last modified Saturday, April 27, 2013

How can species evolve a cooperative network to keep the environment suitable for life?

Social and Task Interdependencies in Innovation Implementation

Spiro Maroulis Uri Wilensky | Published Tuesday, June 04, 2013 | Last modified Tuesday, March 04, 2014

This is a model of innovation implementation inside an organization. It characterizes an innovation as a set of distributed and technically interdependent tasks performed by a number of different and socially interconnected frontline workers.

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.

Displaying 10 of 161 results for "Hauke Reuter" clear search

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