GAMA Platform explained

GAMA Platform
Logo Alt:GAMA Platform logo
Screenshot Alt:GAMA Platform IDE Screenshot
Developer:IRD
Released:.[1]
Ver Layout:simple
Latest Release Version:1.9.1
Latest Release Date:[2]
Programming Language:Java
Operating System:Windows, macOS, Linux
Platform:x86-64
Language:English
License:GPL3
Website:http://gama-platform.org
Repo:https://github.com/gama-platform/gama

GAMA[3] [4] (GIS Agent-based Modeling Architecture) is a simulation platform with a complete modelling and simulation integrated development environment (IDE) for writing and experimenting spatially explicit agent-based models.[5]

About

The GAMA Platform is agent-based modeling software that was originally (2007-2010) developed by the Vietnamese-French research team MSI (located at IFI, Hanoi, and part of the IRD - SU International Research Unit UMMISCO). It is now developed by an international consortium of academic and industrial partners led by UMMISCO, including INRAE, the University of Toulouse 1, the University of Rouen, the University of Orsay, the University of Can Tho, Vietnam, the National University of Hanoi, EDF R&D, CEA LISC, and MIT Media Lab.[6]

GAMA was designed to allow domain experts without a programming background to model phenomena from their field of expertise.

The GAMA environment enables exploration of emergent phenomena. It comes with a models library including examples from several domains, such as economics, biology, physics, chemistry, psychology, and system dynamics.[7] The GAMA simulation panel allows exploration by modifying switches, sliders, choosers, inputs, and other user interface elements that the modeler chooses to make available.[8]

Technical foundation

GAMA Platform is free and open-source software, released under a GNU General Public License (GPL3).[9] It is written in Java and runs on the Java virtual machine (JVM).[10] All core components and extensions are written in Java, but end users do not need to work in Java at all if they use a published build of the platform; instead, they would write all models using GAML (described below).

Multiple application domains

GAMA was developed with a very general approach and can be used for many application domains.[5] GAMA is mostly present in applications domains like transport,[11] [12] urban planning, disaster response,[13] epidemiology,[14] analysis of multirobot systems,[15] [16] and the environment, with special emphasis on analyses that use GIS data.[17] [18]

High-level Agent-based language

GAML (GAma Modeling Language) is the dedicated language used in GAMA. It is an agent-based language, that provides the possibility to build a model with several paradigms of modeling.[5]

This high-level language was inspired by Smalltalk and Java, GAMA has been developed to be used by non-computer scientists.[5]

User interface

Modelers may use many visual representations for the same model, in order to highlight a certain aspect of a simulation. These include 2D/3D displays, with basic control of lighting, textures, and cameras. Standard charts such as series plots may also be constructed.[5]

Project examples

The developers maintain a community-sourced list of scientific projects that use GAMA.[19]

Some of the larger efforts include:

Users

Several academic institutions teach modeling and simulation courses based on GAMA. It is taught in the Urban Simulation class at the Potsdam University of Applied Sciences,[25] and at the University of Salzburg.[26] It is also used and taught annually at the Multi-platform International Summer School on Agent-Based Modelling & Simulation.[27]

See also

Notes and References

  1. Web site: GAMA 1.1. GAMA Documentation.
  2. Web site: Home of GAMA development. Github .
  3. Taillandier . Patrick . Gaudou . Benoit . Grignard . Arnaud . Huynh . Quang-Nghi . Marilleau . Nicolas . Caillou . Philippe . Philippon . Damien . Drogoul . Alexis . 134137907 . Building, composing and experimenting complex spatial models with the GAMA platform . GeoInformatica . April 2019 . 23 . 2 . 299–322 . 10.1007/s10707-018-00339-6 . Springer US . 1573-7624.
  4. Book: Grignard . Arnaud . Taillandier . Patrick . Gaudou . Benoit . Vo . Duc An . Huynh . Quand-Nghi . Drogoul . Alexis . PRIMA 2013: Principles and Practice of Multi-Agent Systems . GAMA 1.6: Advancing the Art of Complex Agent-Based Modeling and Simulation . Lecture Notes in Computer Science . 2013. 8291 . 117–131. Springer. 10.1007/978-3-642-44927-7_9 . 978-3-642-44926-0 . https://hal.archives-ouvertes.fr/hal-00932406/file/13_PRIMA_-_VFinale.pdf .
  5. Web site: GAMA · GAMA-Platform . gama-platform.github.io . 1 November 2019 . en. Material was copied from this source, which is available under a Creative Commons Attribution 4.0 International License.
  6. Web site: Introduction · GAMA-Platform . gama-platform.github.io . 1 November 2019 . en. Material was copied from this source, which is available under a Creative Commons Attribution 4.0 International License.
  7. Web site: Tutorials . GAMA-Platform. 2019-10-30.
  8. Web site: Controls of experiments . GAMA-Platform. 2019-10-30.
  9. Web site: gama/LICENSE at master - gama-platform/gama. Github. 29 April 2020.
  10. Web site: Architecture of GAMA. GAMA-Platform.
  11. Kaziyeva . Dana . Wallentin . Gudrun . Loidl . Martin . Mohr . Stefan . Neuwirth . Christian . Reviewing Software for Agent-based Bicycle Flow Models . GI Forum . 2018 . 6.
  12. Hutzler . Guillaume . Klaudel . Hanna . Sali . Abderrahmane . Filtering Distributed Information to Build a Plausible Scene for Autonomous and Connected Vehicles . 17th International Conference on Distributed Computing and Artificial Intelligence . 2020.
  13. Alonso Vicario . S . Mazzoleni . M . Bhamidipati . S . Gharesifard . M . Ridolfi . E . Pandolfo . C . Alfonso . L . Unraveling the influence of human behaviour on reducing casualties during flood evacuation . Hydrological Sciences Journal . 2020. 65 . 14 . 2359–2375 . 10.1080/02626667.2020.1810254 . free . 11573/1626577 . free .
  14. Jindal . Akshay . Agent-Based Modeling and Simulation of Mosquito-Borne Disease Transmission . Proceedings of the 16th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2017) . 2017.
  15. Book: Humann . James . Spero . Eric . 2018 Annual IEEE International Systems Conference (SysCon) . Modeling and simulation of multi-UAV, multi-operator surveillance systems . 2018. 1–8 . 10.1109/SYSCON.2018.8369546 . 978-1-5386-3664-0 . 44133459 .
  16. Book: Humann . James . Pollard . Kimberly . 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC) . Human Factors in the Scalability of Multirobot Operation: A Review and Simulation . 2019. 700–707 . 10.1109/SMC.2019.8913876 . 978-1-7281-4569-3 . 208630260 .
  17. Thierry . Hugo . Rogers . Haldre . Where to rewild? A conceptual framework to spatially optimize ecological function . Proceedings of the Royal Society B . 2020 . 287. 1922 . 10.1098/rspb.2019.3017 . 32126955 . 7126074 .
  18. Abar . Sameera . Theodoropoulos . Georgios K . Lemarinier . Pierre . O'Hare . Gregory . Agent Based Modelling and Simulation tools: A review of the state-of-art software . Computer Science Review . 2017 . 24 . 13–33 . 10.1016/j.cosrev.2017.03.001 .
  19. Web site: GAMA-platform References . gama-platform.github.io . 18 August 2020.
  20. Web site: WARMTeam/HoanKiemAir . Github . WARM Team . Hanoi, Vietnam . 2019-10-30.
  21. Web site: Proxymix: Influence of spatial configuration on human collaboration . MIT Media Lab . MIT . 2019-10-30.
  22. Web site: CityScope Champs_Elysées: An interactive platform to improve decision-making related to the revitalization of the Champs Élysées. . MIT Media Lab . MIT . 2020-03-30.
  23. Web site: CoViD19. gama-platform.github.io. GAMA Team. 2020-02-15. 2020-05-02. https://web.archive.org/web/20200502111717/https://gama-platform.github.io/covid19. dead.
  24. Web site: COMOKIT . github.com . COMOKIT Team . Hanoi, Vietnam . 2020-02-15.
  25. Book: Szczepanska . Timo . Priebe . Max . Schroder . Tobias . Teaching the Complexity of Urban Systems with Participatory Social Simulation . 2020 . Springer.
  26. Web site: UNIGIS Summer School Spatial Simulation Modelling .
  27. Web site: Multi-platform International Summer School on Agent-Based Modelling & Simulation for Renewable Resources Management .

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