ABM | Insight Maker

An implementation of the classic Game of Life using agent based modeling.

Rules:

A live cell with less than two alive neighbors dies.
A live cell with more than three alive neighbors dies.
A dead cell with three neighbors becomes alive.

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Clone of The Game of Life

Mitchel Fry

This model simulates a waterborne illness spread from a central reservoir. It illustrates the combination of System Dynamics (modeling pathogen levels in the reservoir) and Agent Based Modeling.

Make sure to check out the Map display to see the geographic clustering of disease incidence around the reservoir.

Clone of Clone of Clone of Reservoir Disease Spread

r mud

First attempt at transition between multiple states

OA knee multiple state ABM

Ruri

Physician agents interacting with delegate agents for emergency department assessment diagnosis and treatment. From BMC paper May 2013, combining figs 1 and 2

Clone of ED Physician Delegation Hybrid Model

Khoa Hoang

Based on Nate Osgood's April 2014 Singapore Presentation Youtube video and Lyle Wallis material Gojii at DecisioTech See also Complex Decison Technologies IM as a more polished version

Clone of Complex Intervention Modeling Areas

sub cribed

Model combining system dynamics and agent based modeling. Based on Prochaska's Transtheoretical Model of Behaviour Change. See also preceding SD Version IM-574

Clone of Clone of Smoking Cessation

Anchal Patil

The story board runs through the premise of the project with the approach I took

Clone of 42845270: Nathaniel Vala_ Assignment 3

Natty Gur

Will the ducks make it to the pond? or will the hawks swoop on them?

Duck v Hawk v3

Bruce Schneider

4

Model combining system dynamics and agent based modeling. Based on Prochaska's Transtheoretical Model of Behaviour Change. See also preceding SD Version IM-574

Clone of Clone of Smoking Cessation

Ismael Victor Costa

This is my first attempt at creating a simple Agent Based Simulation Model. Nothing fancy, just something that works.

This insight is an element of the Agent Based Modeling learning module in Systems KeLE.

Clone of Your First ABM

Jay Whitehead

A recent article by a former Australian cricketer got me thinking about how Agent Based Models could help understand how bowlers and batsmen behave in cricket....

http://www.theguardian.com/sport/blog/2013/aug/20/ashes-glenn-mcgrath-england-australia

To try and keep things simple I've assumed there are 4 bowlers and 4 batsmen.

There are 2 innings for each side in each game and 5 games in the series, therefore 10 innings for each bowler-batsman combination in the series.

In each innings I model, for each batsman, the following parameters:

- A baseline estimate for how likely each bowler is to get the batsman out in each innings (the baseline varies between batsmen, but is kept constant for each combination for each innings)

- Whether or not the bowler got the batsman out in this innings

- The number of times the bowler has got the batsman out in previous innings

Simulating the Ashes Test Series

Ben

Clone of Clone of First ABM Attempt: Modeling Student Mastery

Suprgya Bhushan

Model combining system dynamics and agent based modeling. Based on Prochaska's Transtheoretical Model of Behaviour Change. See also preceding SD Version IM-574

Clone of Clone of Smoking Cessation

Melissa

This Agent-based Model was an idea of Christopher DICarlo "Disease Transmission with Agent Based Model' aims to present the COVID cases in Puerto Princesa City as of June 3, 2021

Insight author: Jolina Rosile Magbanua

Clone of ABM Model of COVID-19 in Puerto Princesa City

Rojean R. Rosales

当处在春节时期，疫情来临时，外来人口较多的S市的疫情传染仿真模型。

人群的状态可分为S/E/I/R/D的五个状态，S为易感染者（即S市所在人群），E为潜伏期患者（人群不会对他远离，但是会传染他人），I为感染者（为医院确诊人群，他人会远离该患者），R为康复人群，D为死亡人群。

SEIR

Allen Zhang

A simple agent based foraging model. Consumer agents will move between fertile patches consuming them.

Clone of Agent Based Foraging Model

Tsogbadrakh Banzragch

A spatially aware, agent based model of disease spread. There are three classes of people: susceptible (healthy), infected (sick and infectious), and recovered (healthy and temporarily immune).

Agent Based Disease Simulation

Steven D'Alessandro

This model is a classic instance of an Erlang Queuing Process.

We have the entities:

- A population of cars which start off in a "crusing" state;

- At each cycle, according to a Poisson distribution defined by "Arrival Rate" (which can be a constant, a function of time, or a Converter to simulate peak hours), some cars transition to a "looking" for an empty space state.

- If a empty space is available (Parking Capacity > Count(FindState([cars population],[parked]))) then the State transitions to "Parked."

-The Cars stay "parked" according to a Normal distribution with Mean = Duration and SD = Duration / 4

- If the Car is in the state "Looking" for a period longer than "Willingness to Wait" then the state timeouts and transitions to impatient and immediately transitions to "Crusing" again.

The model is set to run for 24 hours and all times are given in hours (or fraction thereof)

WIP:

- Calculate the average waiting time;

- Calculate the servicing level, i.e., 1- (# of cars impatient)/(#cars looking)

A big THANK YOU to Scott Fortmann-Roe for helping setup the model's framework.

Clone of Estacionamento

Alessandro Batista Martins

This Agent-based Model was an idea of Christopher DICarlo "Disease Transmission with Agent Based Model' aims to present the COVID cases in Puerto Princesa City as of June 3, 2021

Insight author: Pia Mae M. Palay

ABM Model of COVID-19 in Puerto Princesa City

Pia Mae Palay

11

WIP Ideas for a hybrid budding SD plus ABM depression dynamics model

Clone of Hybrid Depression Dynamics Model

Warih Puspitasari

WIP Combining SD and ABM Representations

Clone of Combined SD and ABM SIR Disease Dynamics

Dorothea

WIP Combining SD and ABM Representations

Clone of Combined SD and ABM SIR Disease Dynamics

Daniel

From Schluter et al 2017 article A framework for mapping and comparing behavioural theories in models of social-ecological systems See also Balke and Gilbert 2014 JASSS article How do agents make decisions? (recommended by Kurt Kreuger U of S)

Clone of Clone of Modelling human behaviour (MoHuB)

Vsevolod Suschevskiy

A spatially aware, agent based model of disease spread. There are three classes of people: susceptible (healthy), infected (sick and infectious), and recovered (healthy and temporarily immune).

Agent-Based Spatially Aware Disease Model

Ray Madachy

6

ABM Models