#### Dynamic modularity

##### Geoff McDonnell ★

- 2 years 5 months ago

#### The Tyranny of small steps archetype (agent based)

##### H Haraldsson

Reference:

Haraldsson, H. V., Sverdrup, H. U., Belyazid, S., Holmqvist, J. and Gramstad, R. C. J. (2008), **The Tyranny of Small Steps: a reoccurring behaviour in management**. Syst. Res., 25: 25–43. doi: 10.1002/sres.859

- 6 years 5 months ago

#### ABM Test

##### Gene Bellinger

- 2 years 7 months ago

#### Estacionamento

##### Simulação Computacional

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.

- 7 years 5 months ago

#### First ABM Attempt: Modeling Student Mastery

##### Kate Glassman

The skill I imagined being taught to these students is something like Argumentative Writing, as most students can become "familiar" with this skill (or perform "satisfactorily" in it), while only some students are likely to "master" this skill in a given school year.

I labeled the transitions "exposure" and "practice" to signify that exposing students to a new skill/concept tends to lead to their becoming familiar with it, while students taking on the task of practicing is the only way for them to transition to mastery.

I complicated this model by adding a teacher to the mix. I also changed the number of states that students can exhibit in order to make it such that there is a 50/50 chance that once a student has learned a skill, he/she will enter a state of confusion as opposed to familiarity with the new skill/concept. The states that teachers can enter include "helpful" and "overwhelmed." The "overwhelmed" state depends on the number of students who are in a state of confusion (asking too many questions). As students transition to the states of familiarity or mastery, the teacher becomes less overwhelmed and moves back into the state of simply being "helpful."

- 5 years 2 months ago

#### 42845270: Nathaniel Vala_ Assignment 3

##### Nathaniel Vala

- 5 years 3 months ago

#### Random Walk2

##### Ming Li

- 3 years 8 months ago

#### Butterfly Corridors

##### Ash Moran ★

Model ODD: http://www.railsback-grimm-abm-book.com/Chapter04/ButterflyModelODD.txt

- 6 years 9 months ago

#### Modelo Híbrido (SD e ABM) de Atendimento Médico de Emergência

##### Simulação Computacional

Health Care Emergency Patient Flow Work ABM Regional Services Clinical Care

- 7 years 5 months ago

#### Juego de la Vida (clonado)

##### Denny S. Fernandez del Viso

An implementation of the classic Game of Life (original de Scott Fortmann-Roe 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.

- 5 years 1 month ago

#### CS558 Agent-Based Spatially Aware Disease Model

##### Ray Madachy

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).

- 10 months 1 week ago

#### Agent-Based Disease Dynamics

##### Gavin McNicol

- 7 years 9 months ago

#### Undergraduate curriculum model 1

##### Joe LeDoux

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.

- 7 years 5 months ago

#### Clone of Smoking Cessation

##### Geoff McDonnell ★

- 3 years 11 months ago

#### Agent Based Disease Simulation

##### Dusan Pavlovic

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

- 3 years 8 months ago

#### Modelling the effect of street trees

##### Jian Song

- 4 years 4 months ago

#### Simulating the Ashes Test Series

##### Ben

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

- 7 years 5 months ago

#### CS558 Random Walk Agent-Based and Continuous Model

##### Ray Madachy

- 10 months 1 week ago

#### Clone of Modelling human behaviour (MoHuB)

##### Peter van Doesburg

**See also Balke and Gilbert 2014 JASSS article How do agents make decisions? (recommended by Kurt Kreuger U of S)**

Environment Economics Framework Behavior Decision-Making Agent ABM Learning PCT

- 2 years 5 months ago

#### Accident warning through VANET

##### Abhinav Kapoor

- 7 years 7 months ago

#### Obesity BMI dynamics

##### Geoff McDonnell ★

- 4 years 7 months ago

#### Clone of Fear Conditioning 3 Agents with Spatial Patches

##### Peter Addor ★

- 6 years 1 month ago

#### Modelo de dispersão espacial de uma doença baseado em SIR-ABM

##### Dager Moreira da Silva

Modelo Baseado em Agente para a dispersão espacial de doenças, considerando o modelo SIR com perda da imunidade ao vírus, conforme [Bellinger G.]

- 5 months 2 weeks ago

#### Agent Based Disease Simulation

##### Steven D'Alessandro ★

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).

- 3 months 1 week ago