Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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Short introduction to the GAMA platform
GAMA is an easy-to-use open-source modelling and simulation environment for creating spatially explicit agent-based simulations. This workshop introduces the platform, the dedicated language called Gaml, and its resources (online documentation, tutorials, and more) to help you start your project powered by Gama. Requirements: Laptop with capacity to install GAMA | ||
| Session Abstract | ||
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GAMA is an easy-to-use open-source modelling and simulation environment for creating spatially explicit agent-based simulations. It has been developed to be used in any application domain (e.g. urban mobility & planning, climate change adaptation, epidemiology, disaster evacuation strategy design) and with any ABM approach, including participatory modelling and data-intensive simulation. The generality of the agent-based approach advocated by GAMA is accompanied by a high degree of openness, which is manifested, for example, in the development of plugins designed to meet specific needs or by the possibility of calling GAMA from other software or languages (such as R or Python). This openness allows the more than 2000 users of GAMA to use it for a wide variety of purposes: scientific simulation, scenario exploration and visualization, negotiation support, serious games, mediation or communication tools, the possibilities are endless! We propose to organise two workshops. The first one to introduce the platform, the dedicated language called Gaml, and its resources (online documentation, tutorials, and more) to help you start your project powered by Gama. The second one, more advanced, introduces how to use GIS data for simulation in GAMA. During this 3-hour workshop, a model of urban mobility & planning will support the training based on Gaml reusable building blocks. |
