Computational Model Library

Peer reviewed Garbage can model Excel reconstruction

Smarzhevskiy Ivan | Published Tue Aug 19 16:33:42 2014 | Last modified Tue Jul 30 06:39:54 2019

Reconstruction of the original code M. Cohen, J. March, and J. Olsen garbage can model, realized by means of Microsoft Office Excel 2010

We model interpersonal dynamics and study behavior in the classroom in the hypothetical case of a single teacher who defines students’ seating arrangements. The model incorporates the mechanisms of peer influence on study behavior, on attitude formation, and homophilous selection in order to depict the interrelated dynamics of networks, behavior, and attitudes. We compare various seating arrangement scenarios and observe how GPA distribution and level of prejudice changes over time.

Agent-based model of risk behavior in adolescence

N Schuhmacher P Van Geert L Ballato | Published Mon Jun 24 16:33:51 2013 | Last modified Mon Apr 8 20:43:17 2019

The computer model simulates the development of a social network (i.e. formation of friendships and cliques), the (dyadic) interactions between pupils and the development of similarities and differences in their behavioral profiles.


Mason Wright | Published Thu Oct 24 21:55:58 2013 | Last modified Mon Apr 8 20:40:48 2019

A multi-agent model of oligarchy in a spatial election simulation.

Infantry Company Engagement Model with Command and Control

Woo-Seop Yun | Published Mon Oct 6 08:20:49 2014 | Last modified Mon Apr 8 20:39:37 2019

Infantry Company Engagement model including command and control functions for the scenario of an offensive operation of the blue force

“Food for all” (FFD)

José Santos José Manuel Galán Andreas Angourakis Andrea L Balbo | Published Fri Apr 25 09:39:34 2014 | Last modified Mon Apr 8 20:39:22 2019

“Food for all” (FFD) is an agent-based model designed to study the evolution of cooperation for food storage. Households face the social dilemma of whether to store food in a corporate stock or to keep it in a private stock.

An Agent-Based School Choice Matching Model

Connie Wang Weikai Chen Shu-Heng Chen | Published Sun Feb 1 13:19:48 2015 | Last modified Wed Mar 6 00:49:06 2019

This model is to simulate and compare the admission effects of 3 school matching mechanisms, serial dictatorship, Boston mechanism, and Chinese Parallel, under different settings of information released.


bhradsky | Published Fri Feb 1 03:55:46 2019 | Last modified Fri Feb 1 05:01:33 2019

FoxNet is an individual-based modelling framework that can be customised to generate high-resolution red fox Vulpes vulpes population models for both northern and southern hemispheres. FoxNet predicts red fox population dynamics, including responses to control and landscape productivity. Model landscapes (up to ~15,000 km^2 and bait layouts can be generated within FoxNet or imported as GIS layers.

If you use FoxNet, please cite:

Hradsky BA, Kelly L, Robley A, Wintle BA (in review). FoxNet: an individual-based modelling framework to support red fox management. Journal of Applied Ecology.

Crowd dynamics have important applications in evacuation management systems relevant to organizing safer large scale gatherings. For crowd safety, it is very important to study the evolution of potential crowd behaviours by simulating the crowd evacuation process. Planning crowd control tasks by studying the impact of crowd behaviour evolution towards evacuation could mitigate the possibility of crowd disasters. During a typical emergency evacuation scenario, conflict among agents occurs when agents intend to move to the same location as a result of the interaction with their nearest neighbours. The effect of the agent response towards their neighbourhood is vital in order to understand the effect of variation of crowd behaviour on the whole environment. In this work, we model crowd motion subject to exit congestion under uncertainty conditions in a continuous space via computer simulations. We model best-response, risk-seeking, risk-averse and risk-neutral behaviours of agents via certain game theoretic notions. We perform computer simulations with heterogeneous populations in order to study the effect of the evolution of agent behaviours towards egress flow under threat conditions. Our simulation results show the relation between the local crowd pressure and the number of injured agents. We observe that when the proportion of agents in a population of risk-seeking agents is increased, the average crowd pressure, average local density and the number of injured agents increases. Besides that, based on our simulation results, we can infer that crowd disasters could be prevented if the agent population consists entirely of risk-averse and risk-neutral agents despite circumstances that lead to threats.

Model explains both the final state and the dynamics of the development process of the wine sector in the Małopolska region in Poland. Model admits heterogeneous agents (regular farms,large and small vineyards).

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