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PredatorPrey_step4

RoiArthurB edited this page Feb 22, 2024 · 2 revisions

4. Inspectors and Monitors

This fourth step illustrates how to monitor more precisely the simulation. Practically, we will define monitors to follow the evolution of specific variables (or expressions) whereas inspectors allow the user to follow the state of a given agent (or a species).

Formulation

  • Adding of a monitor to follow the evolution of the number of prey agents

Model Definition

global variable

We add a new global variable:

  • nb_preys: returns, each time it is called, the current number of (live) prey agents

To do so we use the ->{expression} facet which returns the value of expression, each time it is called. We use as well the operator length that returns the number of elements in a list.

Thus, in the global section, we add the nb_preys global variable:

int nb_preys -> {length (prey)};

monitor

A monitor allows users to follow the value of an arbitrary expression in GAML. It has to be defined in an output section. A monitor is defined as follows:

monitor monitor_name value: an_expression refresh: every(nb_steps);

With:

  • value: mandatory, that value will be displayed in the monitor.
  • refresh: bool, optional: if the expression is true, compute (default is true).

In this model, we define a monitor to follow the value of the variable nb_preys:

monitor "number of preys" value: nb_preys;

inspector

Inspectors allow to obtain information about a species or an agent. There are two kinds of agent information features:

  • Species browser: provides information about all the agents of a species. Available in the Agents menu.

images/browser_table.png

  • Agent inspector: provides information about one specific agent. Also allows to change the values of its variables during the simulation. Available from the Agents menu, by right_clicking on a display, in the species inspector, or when inspecting another agent. It provides also the possibility to «highlight» the inspected agent.

images/inspector.png

Complete Model

https://github.com/gama-platform/gama/blob/GAMA_1.9.2/msi.gama.models/models/Tutorials/Predator%20Prey/models/Model%2004.gaml
  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 Models
    1. Runtime Concepts
    2. Analyzing code performance
    3. 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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