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

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

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

An overview of this quantitative systems science method based on Kurt Kreuger's workshops for public health

First attempt at transition between multiple states

A simple Markov chain modeling the transfer of power between two parties in the US Senate. Developed using data from FiveThirtyEight.com for the years 1978-2018.

WIP Combining SD and ABM Representations

agent population example

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

From Schluter et al 2017 article A framework for mapping and comparing behavioural theories in models of social-ecological systems COMSeS2017 video. See also Balke and Gilbert 2014 JASSS article How do agents make decisions? (recommended by Kurt Kreuger U of S)

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

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

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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).

Demo of population growth with distinct agents.

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.

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

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"

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).

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

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.