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PredatorPrey_step7

RoiArthurB edited this page Sep 11, 2023 · 18 revisions

7. Agent Aspect

In this seventh step, we will focus on the display and more specifically the aspects of the agents: how they are represented. It can be a simple shape (circle, square, etc.), an icon, a polygon (see later GIS support).

Formulation

  • Definition of two new aspects for the prey and predator agents:
    • A icon
    • A square with information about the agent energy
  • Use of the icon aspect as default aspect for the prey and predator agents.

Model Definition

parent species

We add a new variable of type image_file (a particular kind of file) called my_icon to the generic_species. We define as well two new aspects:

  • icon: draw the image given by the variable my_icon,
  • info: draw a square of side size size and color color and draw as a text the energy of the agent (with a precision of 2 digits).
species generic_species {
    ...
    image_file my_icon;
    ...
    aspect base {
        draw circle(size) color: color ;
    }
    aspect icon {
        draw my_icon size: 2 * size ;
    }
    aspect info {
        draw square(size) color: color ;
        draw string(energy with_precision 2) size: 3 color: #black ;
    }
}

prey species

We specialize the prey species from the generic_species species as follows:

  • definition of the initial value of the agent variables:
species prey parent: generic_species {
    ...  
    image_file my_icon <- image_file("../includes/data/sheep.png") ;
    ...
}

The image file is here: Icon for the prey agents..

You have to copy it in your project folder: includes/data/.

predator species

As done for the prey species, we specialize the predator species from the generic_species species:

  • definition of the initial value of the agent variables:
species predator parent: generic_species {
    ...
    image_file my_icon <- image_file("../includes/data/wolf.png") ;
    ...
}

The image file is here: Icon for the predator species..

You have to copy it in your project folder: includes/data/.

display

We change the default aspect of the prey and predator agents to icon aspect.

output {
    display main_display {
        grid vegetation_cell lines: #black ;
        species prey aspect: icon ;
        species predator aspect: icon ;
    }
}

We define a new display called info_display that displays the prey and predator agents with the info aspect.

output {
    display info_display {
	grid vegetation_cell lines: #black ;
        species prey aspect: info;
        species predator aspect: info;
    }
}

Complete Model

https://github.com/gama-platform/gama/blob/GAMA_1.9.2/msi.gama.models/models/Tutorials/Predator%20Prey/models/Model%2007.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 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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