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ABM Models

These models and simulations have been tagged “ABM”.

Related tagsMetapopulationDiseaseHybridHealth CareFeedbackDecision Making

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

Agent Based Foraging Model
Profile photo Scott Fortmann-Roe
299 last month
Insight diagram

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
Profile photo Scott Fortmann-Roe
260 4 weeks ago
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Clusters of interacting methods for improving health services network design and delivery. Includes Forrester quotes on statistical vs SD methods and the Modeller's dilemma. Simplified version of IM-14982 combined with IM-17598 and IM-9773
Complex Decision Technologies
Profile photo Geoff McDonnell
34 10 months ago
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WIP Combining SD and ABM Representations
Combined SD and ABM SIR Disease Dynamics
Profile photo Geoff McDonnell
32
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A random walk demonstration using an ABM. As individuals drink more they become more intoxicated and their walk becomes more random. And when they drink to much it finally kills them.
@LinkedIn, Twitter, YouTube
Random Walk ABM
Profile photo Gene Bellinger
37
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This model is cloned thru an Agent-Based Modeling Simulation of "Covid-19 (ABM)_VHK" Model by Venkata Habiram Koppaka last April 2020 for presenting the Pandemic COVID-19 Disease. This ABM Simulation aims to represent the trend of COVID-19 infection and death rate (dynamics) at Puerto Princesa City, PALAWAN using the June 3, 2021 data of the CESU-PPC.
COVID-19 ABM (SIR) Model of Puerto Princesa City, PALAWAN
Profile photo Alonzo S. Peralta
Insight diagram

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.
The Game of Life
Profile photo Scott Fortmann-Roe
83
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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
Complex Intervention Modeling Areas
Profile photo Geoff McDonnell
9
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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 Smoking Cessation
Profile photo Geoff McDonnell
15
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Three Agent Model of IM-13669. Unconscious affective dynamics Josh Epstein's Agent Zero Book webpage 
See spatial patches version IM-15119
 
Fear Conditioning 3 Agents
Profile photo Geoff McDonnell
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Demo of population growth with distinct agents.
@LinkedIn, Twitter, YouTube

Agent Population
Profile photo Gene Bellinger
57
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This model is a classic instance of an Erlang Queuing Process.

We have the entities:
- A population of cars which start off in a "cruising" 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.
Electric Car Parking
Profile photo Ray Madachy
16
Insight diagram

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).

@LinkedIn, Twitter, YouTube

Spatially Aware SIR Disease Model
Profile photo Gene Bellinger
56
Insight diagram

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.
@LinkedIn, Twitter, YouTube
The Game of Life
Profile photo Gene Bellinger
13
Insight diagram

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

Clone of Agent Based Foraging Model
Profile photo Roger Jenkins
5
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Modélisation spatiale et multi-agents d'une épidémie. Avec trois classes d'individus: susceptibles (sains), infectés (malades et contagieux), et remis (sains et temporairement immunisés).

Traduit et adapté de 

https://insightmaker.com/insight/2846/Agent-Based-Disease-Simulation  


Épidémie Multi-Agents
Profile photo France Caron
8 months ago
Insight diagram
This is my first attempt at creating a simple Agent Based Simulation Model. Nothing fancy, just something that works.
@LinkedIn, Twitter, YouTube
Your First ABM
Profile photo Gene Bellinger
32
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Artificial Economics Model based on Multi-Avatar Agents following the papers: "An economic experiment to investigate Firms Fi nancial decisions" and "Towards a Multi-Avatar Macroeconomic System"



Clone of Artificial Economics based on Multi-Avatar Agents
Profile photo Ramiro Rollano
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First attempt at transition between multiple states
Clone of OA knee multiple state ABM
Profile photo Ruri
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Hybrid conceptual mapping of relationships involving system causal loop diagram linked with ABM. Output of the problem conceptualization phase of the modelling process prior to developing a computational hybrid model in AnyLogic. Includes Nate Osgood's O PARTIES extension of Ross Hammond's PARTE. See also earlier Canadian version Insight
Conceptual map of hybrid CLD and ABM
Profile photo Geoff McDonnell
3
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WIP Combining SD and ABM Representations
Clone of Combined SD and ABM SIR Disease Dynamics
Profile photo Olga Kolchyna
4
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WIP Ideas for a hybrid budding SD plus ABM depression dynamics model
Hybrid Depression Dynamics Model
Profile photo Geoff McDonnell
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The system in which it was possible to vary the number and size of street trees in a city, and to see the concomitant increases and decreases in the amount of pollution in that city.
Street Trees Model
Profile photo Jian Song
9
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Physician agents interacting with delegate agents for emergency department assessment diagnosis and treatment. From BMC paper May 2013, combining figs 1 and 2
ED Physician Delegation Hybrid Model
Profile photo Geoff McDonnell
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