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, 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,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

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

Agent-Based and Individual-Based Modeling

Agent-Based and Individual-Based Modeling
  • Author : Steven F. Railsback,Volker Grimm
  • Publisher : Princeton University Press
  • Release : 06 November 2011
GET THIS BOOKAgent-Based and Individual-Based Modeling

Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise from the characteristics and behaviors of the agents making up these systems. This innovative textbook gives students and scientists the skills to design, implement, and analyze agent-based models. It starts with the fundamentals of modeling and provides an introduction to NetLogo, an easy-to-use, free, and powerful software platform. Nine chapters then each introduce an important modeling concept and show how to

Emergent Trends in Robotics and Intelligent Systems

Emergent Trends in Robotics and Intelligent Systems
  • Author : Peter Sinčák,Pitoyo Hartono,Mária Virčíková,Ján Vaščák,Rudolf Jakša
  • Publisher : Springer
  • Release : 03 October 2014
GET THIS BOOKEmergent Trends in Robotics and Intelligent Systems

What is the Role of Intelligent Technologies in the Next Generation of Robots ? This monograph gives answers to this question and presents emergent trends of Intelligent Systems and Robotics. After an introductory chapter celebrating 70 year of publishing the McCulloch Pitts model the book consists of the 2 parts „Robotics“ and „Intelligent Systems“. The aim of the book is to contribute to shift conventional robotics in which the robots perform repetitive, pre-programmed tasks to its intelligent form, where robots possess new cognitive

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

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

Multi-Agent-Based Simulation XV

Multi-Agent-Based Simulation XV
  • Author : Francisco Grimaldo,Emma Norling
  • Publisher : Springer
  • Release : 03 January 2015
GET THIS BOOKMulti-Agent-Based Simulation XV

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.

Agent-Based Models

Agent-Based Models
  • Author : Nigel Gilbert,Professor Nigel Gilbert
  • Publisher : SAGE
  • Release : 22 January 2021
GET THIS BOOKAgent-Based Models

Aimed at readers with minimal experience in computer programming, this brief book provides a theoretical and methodological rationale for using ABM in the social sciences. It goes on to describe some carefully chosen examples from different disciplines, illustrating different approaches to ABM. It concludes with practical advice about how to design and create ABM, a discussion of validation procedures, and some guidelines about publishing articles based on ABM.

Agent-based Modeling and Simulation in Archaeology

Agent-based Modeling and Simulation in Archaeology
  • Author : Gabriel Wurzer,Kerstin Kowarik,Hans Reschreiter
  • Publisher : Springer
  • Release : 08 November 2014
GET THIS BOOKAgent-based Modeling and Simulation in Archaeology

Archaeology has been historically reluctant to embrace the subject of agent-based simulation, since it was seen as being used to "re-enact" and "visualize" possible scenarios for a wider (generally non-scientific) audience, based on scarce and fuzzy data. Furthermore, modeling "in exact terms" and programming as a means for producing agent-based simulations were simply beyond the field of the social sciences. This situation has changed quite drastically with the advent of the internet age: Data, it seems, is now ubiquitous. Researchers

Party Competition

Party Competition
  • Author : Michael Laver,Ernest Sergenti
  • Publisher : Princeton University Press
  • Release : 22 January 2021
GET THIS BOOKParty Competition

Party competition for votes in free and fair elections involves complex interactions by multiple actors in political landscapes that are continuously evolving, yet classical theoretical approaches to the subject leave many important questions unanswered. Here Michael Laver and Ernest Sergenti offer the first comprehensive treatment of party competition using the computational techniques of agent-based modeling. This exciting new technology enables researchers to model competition between several different political parties for the support of voters with widely varying preferences on many

Agent-Based and Individual-Based Modeling

Agent-Based and Individual-Based Modeling
  • Author : Steven F. Railsback,Volker Grimm
  • Publisher : Princeton University Press
  • Release : 26 March 2019
GET THIS BOOKAgent-Based and Individual-Based Modeling

The essential textbook on agent-based modeling—now fully updated and expanded Agent-Based and Individual-Based Modeling has become the standard textbook on the subject for classroom use and self-instruction. Drawing on the latest version of NetLogo and fully updated with new examples, exercises, and an enhanced text for easier comprehension, this is the essential resource for anyone seeking to understand how the dynamics of biological, social, and other complex systems arise from the characteristics of the agents that make up these