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GAMA: An Environment for Implementing and Running Spatially Explicit Multi-agent Simulations [chapter]

Edouard Amouroux, Thanh-Quang Chu, Alain Boucher, Alexis Drogoul
2009 Lecture Notes in Computer Science  
and simulation development environment for building spatially explicit multi-agent simulations.  ...  The most important requirements of spatially explicit multi-agent simulations that our platform fulfils are: (1) the ability to transparently use complex Geographical Information System (GIS) data as an  ...  This work is supported by a 3-years PhD grant from the IRD, an international volunteer grant from the French Ministry of Foreign Affairs, and a research grant from the ICT-Asia Programme.  ... 
doi:10.1007/978-3-642-01639-4_32 fatcat:eauxnlkc7zg4dhmbzzptavqubm

3DGIS-Based Multi-Agent Geosimulation and Visualization of Building Evacuation Using GAMA Platform

E. G. Macatulad, A. C. Blanco
2014 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Coupled with agent-based modeling (ABM), available 3DGIS data can be used to develop simulation models for improved analysis of spatial data and spatial processes.  ...  The research presented in this paper develops a multi-agent geosimulation model for building evacuation, integrating 3DGIS dataset of the case study building as input in ABM using the GAMA simulation platform  ...  GAMA, or more completely named GIS & Agent-based Modelling Architecture platform, was selected because it provides a "complete modeling and simulation development environment for building spatially explicit  ... 
doi:10.5194/isprsarchives-xl-2-87-2014 fatcat:755visl5avfjpn6pnxvbomkddm

Building, composing and experimenting complex spatial models with the GAMA platform

Patrick Taillandier, Benoit Gaudou, Arnaud Grignard, Quang-Nghi Huynh, Nicolas Marilleau, Philippe Caillou, Damien Philippon, Alexis Drogoul
2018 Geoinformatica  
Abstract The agent-based modeling approach is now used in many domains such as geography, ecology, or economy, and more generally to study (spatially explicit) socio-environmental systems where the heterogeneity  ...  This paper presents GAMA 1.8, the latest revision to date of the platform, with a focus on its modeling language and its capabilities to manage the spatial dimension of models.  ...  JADE is an open-source Java FIPA-compliant framework that aims at simplifying the implementation of multi-agent systems.  ... 
doi:10.1007/s10707-018-00339-6 fatcat:vsdzlmhrijfzlce3saofbajime

Participatory Modeling and Simulation with the GAMA Platform

Patrick Taillandier, Arnaud Grignard, Nicolas Marilleau, Damien Philippon, Quang-Nghi Huynh, Benoit Gaudou, Alexis Drogoul
2019 Journal of Artificial Societies and Social Simulation  
GAMA is an open-source modeling and simulation platform for building spatially explicit agent-based simulations.  ...  It o ers a complete and comprehensive modeling language (GAML: GAma Modeling Language) and an integrated development environment to support the definition of large-scale models.  ...  In this model, four species of agents live in the world: • vegetation_cell: species with a grid topology that will be used as a spatial environment for the other agents.  ... 
doi:10.18564/jasss.3964 fatcat:ai2ygpaxozefbpdk4dj2ikociu

GAMA: A Simulation Platform That Integrates Geographical Information Data, Agent-Based Modeling and Multi-scale Control [chapter]

Patrick Taillandier, Duc-An Vo, Edouard Amouroux, Alexis Drogoul
2012 Lecture Notes in Computer Science  
This platform allows modelers to define spatially explicit and multi-levels models.  ...  Indeed, only simple, usually discrete, environment representation and one level of interaction (rarely two or three) are considered in most of the agent-based models.  ...  This platform provides a complete modeling and simulation development environment for building spatially explicit multi-agent simulations.  ... 
doi:10.1007/978-3-642-25920-3_17 fatcat:6r724tfyazhfpliipu3zevkjbu

Multi-scale modelling for simulating marine activities under heterogeneous environmental constraints

Annalisa Minelli, Cyril Tissot, Mathias Rouan, Matthieu Le Tixerant
2017 Revue internationale de géomatique  
This paper describes the concepts behind the implementation of a multi-agents model aimed to explore how marine activities respond to various environmental constraints.  ...  The methodology takes advantage on a responsive agent-based structure, and treats the environment as a set of forcing variables (biophysical, socio-economic and regulatory data).  ...  Although this human-environment "desynchronization" may seem obvious, most multi agent based models run in environments where all inputs and/or outputs are considered known and all the events hold the  ... 
doi:10.3166/rig.2017.00014 fatcat:id56fzi5wbgrtobmvadjc2auqq

Reviewing Software for Agent-based Bicycle Flow Models

Dana Kaziyeva, Gudrun Wallentin, Martin Loidl, Stefan Mohr, Christian Neuwirth
2018 GI_FORUM - Journal for Geographic Information Science  
From a wide range of available tools, we considered GAMA, NetLogo and MATSim for an in-depth evaluation.  ...  Agent-based models are able to simulate traffic flows and reveal emergent phenomena which tend to remain hidden in traditional traffic modelling frameworks.  ...  Responsibility for this paper remains solely the authors'.  ... 
doi:10.1553/giscience2018_01_s291 fatcat:2xh4g3aeybfotaj4bhz2krukdi

A Review of Platforms for the Development of Agent Systems [article]

Constantin-Valentin Pal, Florin Leon, Marcin Paprzycki, Maria Ganzha
2020 arXiv   pre-print
Agent-based computing is an active field of research with the goal of building autonomous software of hardware entities.  ...  It also classifies the agent platforms as general purpose ones, free or commercial, and specialized ones, which can be used for particular types of applications.  ...  GAMA is a simulation platform, which aims at providing field experts, modelers, and computer scientists with a complete modeling and simulation development environment for building spatially explicit multiagent  ... 
arXiv:2007.08961v1 fatcat:3ddtajdqv5fftldoqobr2y6y4u

Online Analysis and Visualization of Agent Based Models [chapter]

Arnaud Grignard, Alexis Drogoul, Jean-Daniel Zucker
2013 Lecture Notes in Computer Science  
In this article we present our research in advanced visualization and online data analysis developed in GAMA an agent-based, spatially explicit, modeling and simulation platform.  ...  The ever increasing complexification of requirements asked by the modeller has highlighted the need for more powerful tools than the existing ones to represent, visualize and interact with a simulation  ...  Gama handles in a seamless way vector data that are integrated as the simulation environment as an input but also as an output to store resulting experiment [17] .  ... 
doi:10.1007/978-3-642-39637-3_52 fatcat:3jnfcniri5ha5cqumvqa5uqq2i

VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms [article]

Ting-Kuei Hu, Fernando Gama, Tianlong Chen, Zhangyang Wang, Alejandro Ribeiro, Brian M. Sadler
2020 arXiv   pre-print
The use of a GNN and locally-run CNNs results naturally in a decentralized controller.  ...  For the first time, that integrates the learning of two key components: communication and visual perception, in one end-to-end framework.  ...  Figure 4 . 4 An example of the rendered raw visual input from the Microsoft Airsim Simulation environments.  ... 
arXiv:2002.02308v2 fatcat:luddt7gztbgavbof5v3yjdhl7i

Sensor-Driven, Spatially Explicit Agent-Based Models [chapter]

Francis Oloo
2019 Swarm Intelligence - Recent Advances, New Perspectives and Applications  
This chapter documents the state of the art of methods for bridging the gap between sensor data observations and specification of accurate spatially explicit agent-based models.  ...  The combination of data from in situ sensors to geospatial outputs provides a rich resource for characterising geospatial environments and entities on earth.  ...  Framework for dynamic sensor-driven spatially explicit agent-based models An accurate, spatially explicit, agent-based model should aim at replicating all the essential patterns of the system by simulating  ... 
doi:10.5772/intechopen.89830 fatcat:g3wfdovw4jf2jlrkcehbvb236q

A composite constraints approach to declarative agent-based modeling [article]

David Bruce Borenstein
2015 arXiv   pre-print
Agent-based models (ABMs) are ubiquitous in research and industry. Currently, simulating ABMs involves at least some imperative (step-by-step) computer instructions.  ...  Here we describe a fully declarative approach to the automated construction of simulations for ABMs. In this framework, logic for ABM simulations is encapsulated into predefined components.  ...  Wingreen for his support and guidance throughout the development of the Nanoverse framework, as well as Anne Maslan for her helpful feedback and testing.  ... 
arXiv:1503.08880v1 fatcat:gwij24heyzh57ot3vx7hyq6wca

Enhancing Sustainability of Complex Epidemiological Models through a Generic Multilevel Agent-based Approach

Sébastien Picault, Yu-Lin Huang, Vianney Sicard, Pauline Ezanno
2017 Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence  
We explain in this paper how this approach is used for building more generic, reliable and sustainable simulations, illustrated by real-case applications in cattle epidemiology.  ...  Especially, multilevel multi-agent systems, deeply rooted in that culture, provide a generic way to integrate several epidemiological modeling paradigms within a homogeneous interface.  ...  Acknowledgments Project MIHMES is funded by the French Research Agency, Program Investments for the Future (ANR-10-BINF-07) and the European fund for the Regional Development (FEDER) of Pays-de-la-Loire  ... 
doi:10.24963/ijcai.2017/53 dblp:conf/ijcai/PicaultHSE17 fatcat:gl46756v7nhrjhndjtwqi6w7ue

GPU Environmental Delegation of Agent Perceptions: Application to Reynolds's Boids [chapter]

Emmanuel Hermellin, Fabien Michel
2016 Lecture Notes in Computer Science  
Using Multi-Agent Based Simulation (MABS), computing resources requirements often limit the extent to which a model could be experimented with.  ...  In this context, the GPU Environmental Delegation of Agent Perceptions principle has been proposed to ease the use of GPGPU for MABS.  ...  Implementing MABS Using GPGPU There are two ways of implementing a model on GPU: (1) all-in-GPU, for which the simulation runs entirely on the graphics card and (2) hybrid, the execution of the simulation  ... 
doi:10.1007/978-3-319-31447-1_5 fatcat:jzdvhosoq5elpifvhwfowwanqa

EMULSION: Transparent and flexible multiscale stochastic models in human, animal and plant epidemiology

Sébastien Picault, Yu-Lin Huang, Vianney Sicard, Sandie Arnoux, Gaël Beaunée, Pauline Ezanno, Mihaela Pertea
2019 PLoS Computational Biology  
EMULSION provides a command-line tool for checking models, producing model diagrams, running simulations, and plotting outputs. Written in Python 3, EMULSION runs on Linux, MacOS, and Windows.  ...  The modelling language and simulation architecture both rely on the combination of advanced artificial intelligence methods (knowledge representation and multi-level agent-based simulation), allowing several  ...  Acknowledgments We are very grateful to Thibaut Morel-Journel for his careful reading and relevant comments.  ... 
doi:10.1371/journal.pcbi.1007342 pmid:31518349 pmcid:PMC6760811 fatcat:aotghozenvgv3e5mmhhbhekms4
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