Simulation Spatiale Base D Agents Avec Netlogo 1
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Agent Based Spatial Simulation With Netlogo Volume 1
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Author : Arnaud Banos
language : en
Publisher: Elsevier
Release Date : 2015-08-26
Agent Based Spatial Simulation With Netlogo Volume 1 written by Arnaud Banos and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-08-26 with Computers categories.
Agent-based modeling is a flexible and intuitive approach that is close to both data and theories, which gives it a special position in the majority of scientific communities. Agent models are as much tools of understanding, exploration and adaptation as they are media for interdisciplinary exchange. It is in this kind of framework that this book is situated, beginning with agent-based modeling of spatialized phenomena with a methodological and practical orientation. Through a governing example, taking inspiration from a real problem in epidemiology, this book proposes, with pedagogy and economy, a guide to good practices of agent modeling. The reader will thus be able to understand and put the modeling into practice and acquire a certain amount of autonomy. Featuring the following well-known techniques and tools: Modeling, such as UML, Simulation, such as the NetLogo platform, Exploration methods, Adaptation using participative simulation
Simulation Spatiale Base D Agents Avec Netlogo 1
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Author : Arnaud Banos
language : fr
Publisher: ISTE Group
Release Date : 2015-02-01
Simulation Spatiale Base D Agents Avec Netlogo 1 written by Arnaud Banos and has been published by ISTE Group this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-01 with categories.
La simulation spatiale à base d’agents a connu un essor considérable au sein de la communauté scientifique, mais également auprès de nombreuses disciplines de sciences sociales. Les modèles agents sont tout aussi bien des outils de compréhension, de prospection et de scénarisation, que des médias de l’échange interdisciplinaire. Proposant une approche méthodologique au travers d’un exemple fil rouge inspirée d’une problématique réelle en épidémiologie, cet ouvrage étudie la modélisation à base d'agents des phénomènes spatialisés ainsi que les possibilités d’exploration de modèles agent offertes par la plateforme NetLogo (modèles agrégés, systèmes dynamiques, systèmes multi-acteurs). Guide pédagogique, il s’appuie sur des techniques reconnues de modélisation et de prospection via des méthodes d’exploration et de scénarisation par simulation participative.
Agent Based Spatial Simulation With Netlogo Volume 2
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Author : Arnaud Banos
language : en
Publisher: Elsevier
Release Date : 2016-11-26
Agent Based Spatial Simulation With Netlogo Volume 2 written by Arnaud Banos and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-26 with Computers categories.
Whereas Volume 1 introduced the NetLogo platform as a means of prototyping simple models, this second volume focuses on the advanced use of NetLogo to connect both data and theories, making it ideal for the majority of scientific communities. The authors focus on agent-based modeling of spatialized phenomena with a methodological and practical orientation, demonstrating how advanced agent-based spatial simulation methods and technics can be implemented. This book provides theoretical and conceptual backgrounds, as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content. Illustrates advanced concepts and methods in agent-based spatial simulation Features practical examples developed, and commented on, in a unique platform Provides theoretical and conceptual backgrounds, as well as algorithmic and technical insights, including code and applets, so that readers can test and re-use most of its content
Simulation Spatiale Base D Agents Avec Netlogo 1
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Author : Arnaud Banos
language : fr
Publisher:
Release Date : 2015
Simulation Spatiale Base D Agents Avec Netlogo 1 written by Arnaud Banos and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.
Simulation Spatiale Base D Agents Avec Netlogo 2
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Author : Arnaud Banos
language : fr
Publisher: ISTE Group
Release Date : 2017-06-01
Simulation Spatiale Base D Agents Avec Netlogo 2 written by Arnaud Banos and has been published by ISTE Group this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-01 with Multiagent systems categories.
Faisant suite au premier volume qui introduit la plate-forme NetLogo comme un moyen de prototypage de modèles simples, ce deuxième volume se concentre sur l’utilisation avancée de NetLogo pour connecter les données et les théories, ce qui en fait un outil essentiel pour la communauté scientifique. Simulation spatiale à base d’agents avec NetLogo 2 se concentre sur la modélisation par agents des phénomènes spatialisés à travers une approche méthodologique et pratique. Il démontre comment les méthodes et les techniques avancées de simulation spatiale basées sur les agents peuvent être mises en oeuvre. Cet ouvrage permet d’approfondir les bases théoriques et conceptuelles dans le domaine de la modélisation ainsi que les connaissances algorithmiques et techniques de l'informatique en vue de mettre en oeuvre les modèles produits.
Geographical Modeling
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Author : Denise Pumain
language : en
Publisher: John Wiley & Sons
Release Date : 2020-04-28
Geographical Modeling written by Denise Pumain and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-28 with Mathematics categories.
The modeling of cities and territories has progressed greatly in the last 20 years. This is firstly due to geographic information systems, followed by the availability of large amounts of georeferenced data – both on the Internet and through the use of connected objects. In addition, the rise in performance of computational methods for the simulation and exploration of dynamic models has facilitated advancement. Geographical Modeling presents previously unpublished information on the main advances achieved by these new approaches. Each of the six chapters builds a bibliographic review and precisely describes the methods used, highlighting their advantages and discussing their interpretations. They are all illustrated by many examples. The book also explains with clarity the theoretical foundations of geographical analysis, the delicate operations of model selection, and the applications of fractals and scaling laws. These applications include gaining knowledge of the morphology of cities and the organization of urban transport, and finding new methods of building and exploring simulation models and visualizations of data and results.
Spatial Microsimulation With R
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Author : Robin Lovelace
language : en
Publisher: CRC Press
Release Date : 2017-09-07
Spatial Microsimulation With R written by Robin Lovelace and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-07 with Computers categories.
Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language. Get Insight into Complex Behaviors The book progresses from the principles underlying population synthesis toward more complex issues such as household allocation and using the results of spatial microsimulation for agent-based modeling. This equips you with the skills needed to apply the techniques to real-world situations. The book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets using the recent R packages ipfp and mipfp. This approach represents the "best of both worlds" in terms of spatial resolution and person-level detail, overcoming issues of data confidentiality and reproducibility. Implement the Methods on Your Own Data Full of reproducible examples using code and data, the book is suitable for students and applied researchers in health, economics, transport, geography, and other fields that require individual-level data allocated to small geographic zones. By explaining how to use tools for modeling phenomena that vary over space, the book enhances your knowledge of complex systems and empowers you to provide evidence-based policy guidance.
Spatial Microsimulation With R
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Author : Robin Lovelace
language : en
Publisher: CRC Press
Release Date : 2017-09-07
Spatial Microsimulation With R written by Robin Lovelace and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-07 with Computers categories.
Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language. Get Insight into Complex Behaviors The book progresses from the principles underlying population synthesis toward more complex issues such as household allocation and using the results of spatial microsimulation for agent-based modeling. This equips you with the skills needed to apply the techniques to real-world situations. The book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets using the recent R packages ipfp and mipfp. This approach represents the "best of both worlds" in terms of spatial resolution and person-level detail, overcoming issues of data confidentiality and reproducibility. Implement the Methods on Your Own Data Full of reproducible examples using code and data, the book is suitable for students and applied researchers in health, economics, transport, geography, and other fields that require individual-level data allocated to small geographic zones. By explaining how to use tools for modeling phenomena that vary over space, the book enhances your knowledge of complex systems and empowers you to provide evidence-based policy guidance.
Decentralized Spatial Computing
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Author : Matt Duckham
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-27
Decentralized Spatial Computing written by Matt Duckham and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-27 with Science categories.
Computing increasingly happens somewhere, with that geographic location important to the computational process itself. Many new and evolving spatial technologies, such as geosensor networks and smartphones, embody this trend. Conventional approaches to spatial computing are centralized, and do not account for the inherently decentralized nature of "computing somewhere": the limited, local knowledge of individual system components, and the interaction between those components at different locations. On the other hand, despite being an established topic in distributed systems, decentralized computing is not concerned with geographical constraints to the generation and movement of information. In this context, of (centralized) spatial computing and decentralized (non-spatial) computing, the key question becomes: "What makes decentralized spatial computing special?" In Part I of the book the author covers the foundational concepts, structures, and design techniques for decentralized computing with spatial and spatiotemporal information. In Part II he applies those concepts and techniques to the development of algorithms for decentralized spatial computing, stepping through a suite of increasingly sophisticated algorithms: from algorithms with minimal spatial information about their neighborhoods; to algorithms with access to more detailed spatial information, such as direction, distance, or coordinate location; to truly spatiotemporal algorithms that monitor environments that are dynamic, even using networks that are mobile or volatile. Finally, in Part III the author shows how decentralized spatial and spatiotemporal algorithms designed using the techniques explored in Part II can be simulated and tested. In particular, he investigates empirically the important properties of a decentralized spatial algorithm: its computational efficiency and its robustness to unavoidable uncertainty. Part III concludes with a survey of the opportunities for connecting decentralized spatial computing to ongoing research and emerging hot topics in related fields, such as biologically inspired computing, geovisualization, and stream computing. The book is written for students and researchers of computer science and geographic information science. Throughout the book the author's style is characterized by a focus on the broader message, explaining the process of decentralized spatial algorithm design rather than the technical details. Each chapter ends with review questions designed to test the reader's understanding of the material and to point to further work or research. The book includes short appendices on discrete mathematics and SQL. Simulation models written in NetLogo and associated source code for all the algorithms presented in the book can be found on the author's accompanying website.
Multi Agent Based Simulation Xv
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Author : Francisco Grimaldo
language : en
Publisher: Springer
Release Date : 2015-01-03
Multi Agent Based Simulation Xv written by Francisco Grimaldo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-03 with Computers categories.
This book constitutes the thoroughly refereed post-conference proceedings of the 15th International Workshop on Multi-Agent-Based Simulation, MABS 2014, held in Paris, France, in May 2014. The workshop was held in conjunction with the 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014. The 17 revised full papers included in this volume were carefully selected from numerous submissions. The papers are organized in topical sections on simulation methodologies, simulation of social behaviour, data and multi-agent-based simulation and applications.