Computational Model Library

Displaying 10 of 128 results for "Crooks Andrew" clear search

Substitution of food products will be key to realising widespread adoption of sustainable diets. We present an agent-based model of decision-making and influences on food choice, and apply it to historically observed trends of British whole and skimmed (including semi) milk consumption from 1974 to 2005. We aim to give a plausible representation of milk choice substitution, and test different mechanisms of choice consideration. Agents are consumers that perceive information regarding the two milk choices, and hold values that inform their position on the health and environmental impact of those choices. Habit, social influence and post-decision evaluation are modelled. Representative survey data on human values and long-running public concerns empirically inform the model. An experiment was run to compare two model variants by how they perform in reproducing these trends. This was measured by recording mean weekly milk consumption per person. The variants differed in how agents became disposed to consider alternative milk choices. One followed a threshold approach, the other was probability based. All other model aspects remained unchanged. An optimisation exercise via an evolutionary algorithm was used to calibrate the model variants independently to observed data. Following calibration, uncertainty and global variance-based temporal sensitivity analysis were conducted. Both model variants were able to reproduce the general pattern of historical milk consumption, however, the probability-based approach gave a closer fit to the observed data, but over a wider range of uncertainty. This responds to, and further highlights, the need for research that looks at, and compares, different models of human decision-making in agent-based and simulation models. This study is the first to present an agent-based modelling of food choice substitution in the context of British milk consumption. It can serve as a valuable pre-curser to the modelling of dietary shift and sustainable product substitution to plant-based alternatives in Britain.

DroneStrikes_TerroristAttacks

B Shapiro | Published Friday, July 15, 2022

ABM focused on examining the dissemination of opinions through a notional terrorist network to generate terrorist attacks caused by drone strikes.

Socio-spatial segregation in Salzburg, Austria

Andreas Koch | Published Friday, September 25, 2009 | Last modified Saturday, April 27, 2013

This is a first preliminary simulation model to model segregation in the city of Salzburg, Austria.

segregation model with multiple variables and explit spatiality

Andreas Koch | Published Wednesday, October 28, 2009 | Last modified Saturday, April 27, 2013

This model is a more comprehensive version of the original model; descriptions and expanations are added

Musical Chairs

Andreas Angourakis | Published Wednesday, February 03, 2016 | Last modified Friday, March 11, 2016

This Agent-Based model intends to explore the conditions for the emergence and change of land use patterns in Central Asian oases and similar contexts.

Nice Musical Chairs

Andreas Angourakis | Published Friday, February 05, 2016 | Last modified Friday, November 17, 2017

The Nice Musical Chairs (NMC) model represent the competition for space between groups of stakeholders of farming and herding activities in the arid Afro-Eurasia.

This model simulates networking mechanisms of an empirical social network. It correlates event determinants with place-based geography and social capital production.

Modeling financial networks based on interpersonal trust

Michael Roos Anna Klabunde | Published Wednesday, May 29, 2013 | Last modified Thursday, November 28, 2013

We build a stylized model of a network of business angel investors and start-up entrepreneurs. Decisions are based on trust as a decision making tool under true uncertainty.

Simple models with different types of complexity

Michael Roos | Published Tuesday, September 17, 2024 | Last modified Saturday, March 01, 2025

Hierarchical problem-solving model
The model simulates a hierarchical problem-solving process in which a manager delegates parts of a problem to specialists, who attempt to solve specific aspects based on their unique skills. The goal is to examine how effectively the hierarchical structure works in solving the problem, the total cost of the process, and the resulting solution quality.

Problem-solving random network model
The model simulates a network of agents (generalists) who collaboratively solve a fixed problem by iterating over it and using their individual skills to reduce the problem’s complexity. The goal is to study the dynamics of the problem-solving process, including agent interactions, work cycles, total cost, and solution quality.

This purpose of this model is to understand how the coupled demographic dynamics of herds and households constrain the growth of livestock populations in pastoral systems.

Displaying 10 of 128 results for "Crooks Andrew" clear search

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