Agent Based Spatial Simulation with NetLogo

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

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  • Author : Arnaud Banos
  • Publisher : Elsevier
  • Pages : 278 pages
  • ISBN : 008100723X
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKAgent Based Spatial Simulation with NetLogo

Agent-Based Spatial Simulation with NetLogo

Agent-Based Spatial Simulation with NetLogo
  • Author : Arnaud Banos,Christophe Lang,Nicolas Marilleau
  • Publisher : Elsevier
  • Release : 26 August 2015
GET THIS BOOKAgent-Based Spatial Simulation with NetLogo

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

Agent-based Spatial Simulation with NetLogo, Volume 2

Agent-based Spatial Simulation with NetLogo, Volume 2
  • Author : Arnaud Banos,Christophe Lang,Nicolas Marilleau
  • Publisher : Elsevier
  • Release : 26 November 2016
GET THIS BOOKAgent-based Spatial Simulation with NetLogo, Volume 2

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

Agent-Based Spatial Simulation with NetLogo

Agent-Based Spatial Simulation with NetLogo
  • Author : Arnaud Banos,Christoph Lang,Nicolas Marilleau
  • Publisher : Wiley-ISTE
  • Release : 11 January 2016
GET THIS BOOKAgent-Based Spatial Simulation with NetLogo

The work presented here illustrates, using the heavily utilized free software NetLogo, the main principles of agent-based spatial simulation. It will provide 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.

Agent-Based Spatial Simulation with NetLogo

Agent-Based Spatial Simulation with NetLogo
  • Author : Arnaud Banos,Christophe Lang,Nicolas Marilleau
  • Publisher : Wiley-ISTE
  • Release : 11 January 2016
GET THIS BOOKAgent-Based Spatial Simulation with NetLogo

The work presented here illustrates, using the heavily utilized free software NetLogo, the main principles of agent-based spatial simulation. It will provide 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.

Spatial Microsimulation with R

Spatial Microsimulation with R
  • Author : Robin Lovelace,Morgane Dumont
  • Publisher : CRC Press
  • Release : 07 September 2017
GET THIS BOOKSpatial Microsimulation with R

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

An Introduction to Agent-Based Modeling

An Introduction to Agent-Based Modeling
  • Author : Uri Wilensky,William Rand
  • Publisher : MIT Press
  • Release : 03 April 2015
GET THIS BOOKAn Introduction to Agent-Based Modeling

A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples. The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex

Spatial Simulation

Spatial Simulation
  • Author : David O'Sullivan,George L. W. Perry
  • Publisher : John Wiley & Sons
  • Release : 05 August 2013
GET THIS BOOKSpatial Simulation

A ground-up approach to explaining dynamic spatialmodelling for an interdisciplinary audience. Across broad areas of the environmental and social sciences,simulation models are an important way to study systemsinaccessible to scientific experimental and observational methods,and also an essential complement to those more conventionalapproaches. The contemporary research literature is teemingwith abstract simulation models whose presentation ismathematically demanding and requires a high level of knowledge ofquantitative and computational methods and approaches. Furthermore, simulation models designed to represent specificsystems and phenomena are

Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies

Modeling and Simulation of Social-Behavioral Phenomena in Creative Societies
  • Author : Nitin Agarwal,Leonidas Sakalauskas,Gerhard-Wilhelm Weber
  • Publisher : Springer Nature
  • Release : 11 September 2019
GET THIS BOOKModeling and Simulation of Social-Behavioral Phenomena in Creative Societies

This volume constitutes the proceedings of the First International EURO Mini Conference on Modelling and Simulation of Social-Behavioural Phenomena in Creative Societies, MSBC 2019, held in Vilnius, Lithuania, in September 2019. The 8 full papers and 2 short papers presented were carefully reviewed and selected from 26 submissions. The papers are organized in the following topical sections: computational intelligence in social sciences; modeling and analysis of social-behavioral processes.

Agent-Based Models

Agent-Based Models
  • Author : Nigel Gilbert
  • Publisher : SAGE Publications
  • Release : 15 November 2019
GET THIS BOOKAgent-Based Models

Agent-based simulation has become increasingly popular as a modeling approach in the social sciences because it enables researchers to build models where individual entities and their interactions are directly represented. The Second Edition of Nigel Gilbert′s Agent-Based Models introduces this technique; considers a range of methodological and theoretical issues; shows how to design an agent-based model, with a simple example; offers some practical advice about developing, verifying and validating agent-based models; and finally discusses how to plan an agent-based

Agent-Based Models of Geographical Systems

Agent-Based Models of Geographical Systems
  • Author : Alison J. Heppenstall,Andrew T. Crooks,Linda M. See,Michael Batty
  • Publisher : Springer Science & Business Media
  • Release : 24 November 2011
GET THIS BOOKAgent-Based Models of Geographical Systems

This unique book brings together a comprehensive set of papers on the background, theory, technical issues and applications of agent-based modelling (ABM) within geographical systems. This collection of papers is an invaluable reference point for the experienced agent-based modeller as well those new to the area. Specific geographical issues such as handling scale and space are dealt with as well as practical advice from leading experts about designing and creating ABMs, handling complexity, visualising and validating model outputs. With contributions

Geographical Modeling

Geographical Modeling
  • Author : Denise Pumain
  • Publisher : John Wiley & Sons
  • Release : 09 January 2020
GET THIS BOOKGeographical Modeling

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

Computational Vision and Bio-Inspired Computing

Computational Vision and Bio-Inspired Computing
  • Author : S. Smys,João Manuel R. S. Tavares,Valentina Emilia Balas,Abdullah M. Iliyasu
  • Publisher : Springer Nature
  • Release : 06 January 2020
GET THIS BOOKComputational Vision and Bio-Inspired Computing

This proceedings book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. Due to the rapid advances in the emerging information, communication and computing technologies, the Internet of Things, cloud and edge computing, and artificial intelligence play a significant role in the computational vision context. In recent years, computational vision has contributed to enhancing the methods of controlling the operations in biological systems, like ant colony optimization, neural networks, and immune systems. Moreover, the ability of computational vision to

Applied Spatial Data Analysis with R

Applied Spatial Data Analysis with R
  • Author : Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio
  • Publisher : Springer Science & Business Media
  • Release : 21 June 2013
GET THIS BOOKApplied Spatial Data Analysis with R

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more

Location-Based Marketing

Location-Based Marketing
  • Author : Gérard Cliquet,Jérôme Baray
  • Publisher : John Wiley & Sons
  • Release : 31 March 2020
GET THIS BOOKLocation-Based Marketing

Location-based Marketing outlines the main concepts, methods and strategies for implementing spatial marketing, also known as geomarketing. With an emphasis on the value of mapping in marketing decision-making, this book demonstrates the importance of a more spatialized view of these decisions, in order to best respond to market realities – whether local or international. The main techniques of geomarketing are presented along with an understanding of the spatial behavior of consumers, both outside the point of sale and in stores. The