Agent-Based Modeling and Simulation II

In the book "Models based on Agents I" you have learned to:

1.- Install the software and create a model.

2.- Define the equations, using functions and tables.

3.- Simulate the model by viewing the numerical and graphic results.

4.- Create attributes, collections and aggregates.

5.- Add references.

6.- Define temporary parameters for the simulation.

7.- Import initial data.

8.- Import time series of data.

In this book II, you learn to:

1.- Consolidate the import of data.

2.- Create new entities with actions and triggers.

3.- Design lots and cohorts of entities.

4.- Do Sensitivity Analysis.

5.- Optimization of the results.

6.- Calibration of the variables.

7.- See the results on a X-Y diagram.

8.- Integrate the model with GIS files.

External Data Files

Formats

Import initial data

Import time series data

Model: Covid Expansion

Model: Oil Spill

Model: Oil Spill 2

Model: Oil Spill 3

Actions and Triggers

Action Kind Command

Model: Traffic Light 2

Action Kind Self Delete

Action Kind Create

Model: Traffic Light 3

Model: All My Cars

Model: Mars Landing

Model: Horse Breeding 8

Model: Horse Breeding 9

Model: Housing Promotion

Model: Stock Index

Modeling Cohorts

Independent cohorts

Dependent cohorts

Cohorts age-dependent

Cohorts with initial values

Model: Star Wars

Model: Star Wars 2

Model: Qantas and Emirates Airlines

Sensibility Analysis

Model: Sales Analysis

Model: Landing in Mars 2

Model: Dragons and Castles 2

Model: Cheese Shop 3

Optimization

Model: Sales Analysis 2

Model: Sales Analysis 3

Model: Dragons and Castles 3

Model: Stock Index 2

Calibration

Model: Sales Analysis 4

2D Results

Model: Rain in Seville

Model: The Great Wall of China

Model: Covid Expansion 2

Model: Dragons and Castles 4

Model: Playing Checkers

Results in GIS maps

Model: Valencia and the Sea

Model: Flying from Madrid

Model: Flying from Madrid 2

Model: Flying from Madrid 3

Model: Oil Spill 4

Model: Discovery of America

Model: Merry Christmas