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Resources_TrainingVideos

Quang C. Truong edited this page Apr 14, 2023 · 26 revisions

Introduction Videos

  1. GAMA Platform
  2. Model of the evacuation of the Station Nightclub fire using BDI agents
  3. An example of the new possibilities of Gama 1.7 : BIM models importation !
  4. ABM multi-level modeling
  5. SIR Agent-Based Model with different display
  6. Synthetic dynamical social graph
  7. Agent Based Visualization: interaction between agent
  8. South East Dengue Data Timelapse Visualization
  9. Agent-Based Visualization Processus
  10. South East Dengue Data Spacetime Visualization
  11. Epidemic detection on Dengue Data
  12. Agent-Based L-System
  13. Aggregated boids
  14. MODAVI: Multi Scale Online Data Analysis and Visualization
  15. Gama camera arcball and freefly demo
  16. DENSEAT: Dengue South East Asia Timing
  17. Agent Based Visualization: tyding up algorithm on GIS data
  18. Bubble sort 3D algorithm animation
  19. Mitchell’s best-candidate algorithm animation in Gama Platform
  20. Agent-Based Visualization : Abstract - Analysis - Control
  21. Archem Project - Gama 1.6.1 - Agent Based Visualization
  22. SIR Augmented
  23. Gama: Dynamic diffuse light
  24. Archives project
  25. Gama: Multiply the point of view using different display and dynamic camera parameters
  26. Procedural city
  27. Tuto3D model3
  28. Tuto3D model2
  29. Demonstration of the new GAMA driving skill
  30. Gama tutorial PRIMA 2013
  31. Gama Platform 1.6 Trailer. Agent-based simulation platform

User's videos - Srirama Bhamidipati

  1. Agent Based Modeling with GAMA Platform
  2. Day 1- Part 1- Agent Based Modeling with GAMA Platform (updated July 2020)
  3. Agent Based Modeling with GAMA Platform (Day2: Guest Prof Arend Ligtenberg)
  4. Agent Based Modeling with GAMA Platform (Scheduler, OSM)
  5. Agent Based Modeling with GAMA Platform 2
  6. Agent Based Modeling with GAMA Platform (charts, MAIA)
  7. Agent Based Modeling with GAMA Platform, Grid Modelling
  8. Agent Based Modeling with GAMA Platform, Schelling Model
  9. Agent Based Modeling with GAMA Platform, Schelling Model 2 (You can ask questions in comments July 2020)
  10. Agent Based Modeling with GAMA Platform, Schelling, GIS
  11. Srirama Bhamidipati GAMA Live Stream 1/2

GAMA Interface

  1. Interactive Console in GAMA, GAMA Platform for Agent Based Modeling
  2. Search Options inside GAMA Editor - GAMA Platform for Agent Based Modeling
  3. Version Control in GAMA for non-git users: GAMA Platform
  4. 20 Chart facets in GAMA platform for Agent Based Modeling

GAMA + R

  1. Instructions to Connect R to GAMA on a windows 10 machine, GAMA Platform
  2. Interacting with R in GAMA - gama-platform for Agent Based Modeling
  3. R examples in GAMA -- gama-platform for Agent Based Modeling
  4. Rplots in GAMA gama-platform for Agent Based Modeling

GAMA Extras

  1. GAMA Manual -- in a new format for desktop and mobile devices
  2. Using markdown with GAMA 'standalone' to write model descriptions for Agent Based Modeling
  3. Using GAMA 'standalone' with GitHub for Agent Based Modeling

User's videos - Patrick Taillandier

  1. Soutenance d’Habilitation à Diriger des Recherches de Patrick Taillandier
  2. MGM GAMA 1 Presentation of GAMA
  3. MGM GAMA 2 Running a simulation
  4. MGM GAMA 3 Definition of a simple SI model
  5. MGM GAMA 4 Definition of monitors and charts
  6. MGM GAMA 5 Integration of GIS data and graphs
  7. MGM GAMA 6 Definition of 3D displays
  8. MGM GAMA 7 Parameter space exploration
  9. MIRO Project
  10. Simulation of the traffic in the city of Rouen (France)
  11. Diffusion LWR Le Havre
  12. Diffusion Agent Le Havre
  13. Diffusion LWR Man
  14. Diffusion Agent Man

User's videos - Arnaud Grignard

  1. Arnaud Grignard, City Science, Overview
  2. #6 Conférence d’Arnaud Grignard « Simulation participative tangible by Labex IMU (Septembre 2021)
  3. CityScope Champs Elysées - Pavillon de l'Arsenal - PCA-Stream - MIT Media Lab - CityScience
  4. A tangible city simulator: CityScope Lyon - MIT Media Lab - CityScience - EUL - Labex IMU - UdL
  5. How MIT Builds Cities Using Lego and Augmented Reality | Science of Teams | WIRED
  6. CityScope Hanoi: Water Management in the Red River
  7. Andorra CityScope Data Observatory - MIT Media Lab - CityScience
  8. Andorra CityScope Deployment - June 2017 - MIT Media Lab - Changing Places
  9. Andorra CityScope RNC data visualization - MIT Media Lab
  10. CityScope Andorra: A multi-level interactive and tangible agent-based visualization - MIT Media Lab1.
  11. CityScope Volpe ABM model - MIT Media Lab CityScience
  12. THE ROAD AHEAD: REIMAGINING MOBILITY - The making of CityScope Cooper Hewitt
  13. URBAMobility - Gama 1.8 Platform Cooper Hewitt Prototype
  14. Proxymix: Influence of spatial configuration on human collaboration
  15. UrbanSwarms: A new approach for autonomous cities - MIT Media Lab
  16. Game it
  17. An agent based approach to a multi Employer Housing Market Simulation
  18. URBAMobility (Long Version)
  19. Radiohead - Agent Based Visualization - Gama 1.8 - MIT Media Lab
  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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