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Comodel

Julien Mazars edited this page Apr 15, 2016 · 5 revisions

Using Comodel

Introduction

In the trend of developing complex system of multi-disciplinary, composing and coupling models are days by days become the most attractive research objectives. GAMA is supporting the co-modelling and co-simulation which are suppose to be the common coupling infrastructure.

Example of a Comodel

A Comodel is a model, especially an multi-agent-based, compose several sub-model, called micro-model. A comodel itself could be also a micro-model of an other comodel. From the view of a micro-model, comodel is called a macro-model.

A micro-model must be import, instantiate, and life-control by macro-model.

Why and when can we use Comodel ?

to be completed...

Use of Comodel in a GAML model

The GAML language has been evolve by extend the import section. The old importation tell the compiler to merge all imported elements into as one model, but the new one allows modellers to keep the elements come from imported models separately with the caller model.

Defining a micro-model

Defining a micro-model of comodel is to import an existing model with an alias name. The syntax is:

import <path to the GAML model> as <identifier>

The identifier is then become the new name of the micro-model.

Instantiate a micro-model

After the importation and giving an identifier, micro-model must be explicitly instantiated. It could be done by create statement.

create <micro-model identifier> . <experiment name> [optional parameter];

THe is an expriment inside micro-model. This syntax will generate an experiment agent and attach an implicitly simulation.

Note: Creation of multi-instant is not create multi-simulation, but multi-experiment. Modellers could create a experiment with multi-simulation by explicitly do the init inside the experiment scope.

Control micro-model life-cycle

A micro-model can be control as the normal agent by asking the correspond identifier, and also be destroy by the 'o die' statement. As fact, it can be recreate any time we need.

ask (<micro-model identifier> . <experiment name>  at <number> ) . simulation {
		...
}

Visualize micro-model

The micro-model species could display in comodel with the support of agent layer

agents "name of layer" value: (<micro-model> . <experiment name> at <number>).<get List of agents>;

More details

Example of the comodel

Urbanization model with Traffic model

Flood model with Evacuation model

Reusing of two existing models:Flood Simulation and Evacuation.

Toy Models/Evacuation/models/continuous_move.gaml

Toy Models/Flood Simulation/models/Hydrological Model.gaml

The comodel explore the effect of flood on evacuation plan:

Simulation results:

  1. What's new (Changelog)
  1. Installation and Launching
    1. Installation
    2. Launching GAMA
    3. Updating GAMA
    4. Installing Plugins
  2. Workspace, Projects and Models
    1. Navigating in the Workspace
    2. Changing Workspace
    3. Importing Models
  3. Editing Models
    1. GAML Editor (Generalities)
    2. GAML Editor Tools
    3. Validation of Models
  4. Running Experiments
    1. Launching Experiments
    2. Experiments User interface
    3. Controls of experiments
    4. Parameters view
    5. Inspectors and monitors
    6. Displays
    7. Batch Specific UI
    8. Errors View
  5. Running Headless
    1. Headless Batch
    2. Headless Server
    3. Headless Legacy
  6. Preferences
  7. Troubleshooting
  1. Introduction
    1. Start with GAML
    2. Organization of a Model
    3. Basic programming concepts in GAML
  2. Manipulate basic Species
  3. Global Species
    1. Regular Species
    2. Defining Actions and Behaviors
    3. Interaction between Agents
    4. Attaching Skills
    5. Inheritance
  4. Defining Advanced Species
    1. Grid Species
    2. Graph Species
    3. Mirror Species
    4. Multi-Level Architecture
  5. Defining GUI Experiment
    1. Defining Parameters
    2. Defining Displays Generalities
    3. Defining 3D Displays
    4. Defining Charts
    5. Defining Monitors and Inspectors
    6. Defining Export files
    7. Defining User Interaction
  6. Exploring Models
    1. Run Several Simulations
    2. Batch Experiments
    3. Exploration Methods
  7. Optimizing Model Section
    1. Runtime Concepts
    2. Optimizing Models
  8. Multi-Paradigm Modeling
    1. Control Architecture
    2. Defining Differential Equations
  1. Manipulate OSM Data
  2. Diffusion
  3. Using Database
  4. Using FIPA ACL
  5. Using BDI with BEN
  6. Using Driving Skill
  7. Manipulate dates
  8. Manipulate lights
  9. Using comodel
  10. Save and restore Simulations
  11. Using network
  12. Headless mode
  13. Using Headless
  14. Writing Unit Tests
  15. Ensure model's reproducibility
  16. Going further with extensions
    1. Calling R
    2. Using Graphical Editor
    3. Using Git from GAMA
  1. Built-in Species
  2. Built-in Skills
  3. Built-in Architecture
  4. Statements
  5. Data Type
  6. File Type
  7. Expressions
    1. Literals
    2. Units and Constants
    3. Pseudo Variables
    4. Variables And Attributes
    5. Operators [A-A]
    6. Operators [B-C]
    7. Operators [D-H]
    8. Operators [I-M]
    9. Operators [N-R]
    10. Operators [S-Z]
  8. Exhaustive list of GAMA Keywords
  1. Installing the GIT version
  2. Developing Extensions
    1. Developing Plugins
    2. Developing Skills
    3. Developing Statements
    4. Developing Operators
    5. Developing Types
    6. Developing Species
    7. Developing Control Architectures
    8. Index of annotations
  3. Introduction to GAMA Java API
    1. Architecture of GAMA
    2. IScope
  4. Using GAMA flags
  5. Creating a release of GAMA
  6. Documentation generation

  1. Predator Prey
  2. Road Traffic
  3. 3D Tutorial
  4. Incremental Model
  5. Luneray's flu
  6. BDI Agents

  1. Team
  2. Projects using GAMA
  3. Scientific References
  4. Training Sessions

Resources

  1. Videos
  2. Conferences
  3. Code Examples
  4. Pedagogical materials
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