December 4, 2020

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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 Date : 2016-11-26
Category : Computers
Total pages :232
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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

Agent-Based Spatial Simulation with NetLogo

Agent-Based Spatial Simulation with NetLogo
Author : Arnaud Banos,Christophe Lang,Nicolas Marilleau
Publisher : Elsevier
Release Date : 2015-08-26
Category : Computers
Total pages :278
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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

Agent-Based Spatial Simulation with NetLogo

Agent-Based Spatial Simulation with NetLogo
Author : Arnaud Banos,Christophe Lang,Nicolas Marilleau
Publisher : Wiley-ISTE
Release Date : 2016-01-11
Category : Technology & Engineering
Total pages :129
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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 Modelling and Geographical Information Systems

Agent-Based Modelling and Geographical Information Systems
Author : Andrew Crooks,Nicolas Malleson,Ed Manley,Alison Heppenstall
Publisher : SAGE
Release Date : 2018-12-13
Category : Science
Total pages :408
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This textbook explains how to design and build Agent Based Models and how to link them to Geographical Information Systems.

An Introduction to Agent-Based Modeling

An Introduction to Agent-Based Modeling
Author : Uri Wilensky,William Rand
Publisher : MIT Press
Release Date : 2015-04-10
Category : Computers
Total pages :504
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A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples.

Spatial Microsimulation with R

Spatial Microsimulation with R
Author : Robin Lovelace,Morgane Dumont
Publisher : CRC Press
Release Date : 2017-09-07
Category : Mathematics
Total pages :260
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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 Simulation

Spatial Simulation
Author : David O'Sullivan,George L. W. Perry
Publisher : John Wiley & Sons
Release Date : 2013-08-05
Category : Technology & Engineering
Total pages :336
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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 often complicated, and, as a result,difficult to reconstruct from their descriptions in theliterature. This book aims to provide a practical andaccessible account of dynamic spatial modelling, while alsoequipping readers with a sound conceptual foundation in thesubject, and a useful introduction to the wide-rangingliterature. Spatial Simulation: Exploring Pattern and Process isorganised around the idea that a small number of spatial processesunderlie the wide variety of dynamic spatial models. Its centralfocus on three ‘building-blocks’ of dynamic spatialmodels – forces of attraction and segregation, individualmobile entities, and processes of spread – guides the readerto an understanding of the basis of many of the complicated modelsfound in the research literature. The three building block modelsare presented in their simplest form and are progressivelyelaborated and related to real world process that can berepresented using them. Introductory chapters cover essentialbackground topics, particularly the relationships between pattern,process and spatiotemporal scale. Additional chaptersconsider how time and space can be represented in more complicatedmodels, and methods for the analysis and evaluation of models.Finally, the three building block models are woven together in amore elaborate example to show how a complicated model can beassembled from relatively simple components. To aid understanding, more than 50 specific models described inthe book are available online at patternandprocess.org forexploration in the freely available Netlogo platform. Thisbook encourages readers to develop intuition for the abstract typesof model that are likely to be appropriate for application in anyspecific context. Spatial Simulation: Exploring Patternand Process will be of interest to undergraduate and graduatestudents taking courses in environmental, social, ecological andgeographical disciplines. Researchers and professionals whorequire a non-specialist introduction will also find this book aninvaluable guide to dynamic spatial simulation.

Agent-Based and Individual-Based Modeling

Agent-Based and Individual-Based Modeling
Author : Steven F. Railsback,Volker Grimm
Publisher : Princeton University Press
Release Date : 2011-11-06
Category : Science
Total pages :329
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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 implement it using NetLogo. The book goes on to present strategies for finding the right level of model complexity and developing theory for agent behavior, and for analyzing and learning from models. Agent-Based and Individual-Based Modeling features concise and accessible text, numerous examples, and exercises using small but scientific models. The emphasis throughout is on analysis--such as software testing, theory development, robustness analysis, and understanding full models--and on design issues like optimizing model structure and finding good parameter values. The first hands-on introduction to agent-based modeling, from conceptual design to computer implementation to parameterization and analysis Provides an introduction to NetLogo with nine chapters introducing an important modeling concept and showing how to implement it using NetLogo Filled with examples and exercises, with updates and supplementary materials at http://www.railsback-grimm-abm-book.com/ Designed for students and researchers across the biological and social sciences Written by leading practitioners Leading universities that have adopted this book include: Amherst College Brigham Young University Carnegie Mellon University Cornell University Miami University Northwestern University Old Dominion University Portland State University Rhodes College Susquehanna University University College, Dublin University of Arizona University of British Columbia University of Michigan University of South Florida University of Texas at Austin University of Virginia

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 Date : 2014-10-03
Category : Computers
Total pages :352
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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 skills with ability to learn and adapt to changing environment. A main focus is on Intelligent Systems, which show notable achievements in solving various problems in intelligent robotics. The book presents current trends and future directions bringing together Robotics and Computational Intelligence. The contributions include widespread experimental and theoretical results on intelligent robotics such as e.g. autonomous robotics, new robotic platforms, or talking robots.

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 Date : 2011-11-24
Category : Social Science
Total pages :760
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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 from many of the world’s leading research institutions, the latest applied research (micro and macro applications) from around the globe exemplify what can be achieved in geographical context. This book is relevant to researchers, postgraduate and advanced undergraduate students, and professionals in the areas of quantitative geography, spatial analysis, spatial modelling, social simulation modelling and geographical information sciences.

Multi-Agent-Based Simulation XV

Multi-Agent-Based Simulation XV
Author : Francisco Grimaldo,Emma Norling
Publisher : Springer
Release Date : 2015-01-03
Category : Computers
Total pages :253
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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 Modeling and Simulation in Archaeology

Agent-based Modeling and Simulation in Archaeology
Author : Gabriel Wurzer,Kerstin Kowarik,Hans Reschreiter
Publisher : Springer
Release Date : 2014-11-08
Category : Science
Total pages :269
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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 have switched from simply collecting data to filtering, selecting and deriving insights in a cybernetic manner. Agent-based simulation is one of the tools used to glean information from highly complex excavation sites according to formalized models, capturing essential properties in a highly abstract and yet spatial manner. As such, the goal of this book is to present an overview of techniques used and work conducted in that field, drawing on the experience of practitioners.

Spatial Analysis, Modelling and Planning

Spatial Analysis, Modelling and Planning
Author : Jorge Rocha,José António Tenedório
Publisher : BoD – Books on Demand
Release Date : 2018-11-28
Category : Science
Total pages :268
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New powerful technologies, such as geographic information systems (GIS), have been evolving and are quickly becoming part of a worldwide emergent digital infrastructure. Spatial analysis is becoming more important than ever because enormous volumes of spatial data are available from different sources, such as social media and mobile phones. When locational information is provided, spatial analysis researchers can use it to calculate statistical and mathematical relationships through time and space. This book aims to demonstrate how computer methods of spatial analysis and modeling, integrated in a GIS environment, can be used to better understand reality and give rise to more informed and, thus, improved planning. It provides a comprehensive discussion of spatial analysis, methods, and approaches related to planning.

Party Competition

Party Competition
Author : Michael Laver,Ernest Sergenti
Publisher : Princeton University Press
Release Date : 2012
Category : Political Science
Total pages :278
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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 different issues. Laver and Sergenti model party competition as a true dynamic process in which political parties rise and fall, a process where different politicians attack the same political problem in very different ways, and where today's political actors, lacking perfect information about the potential consequences of their choices, must constantly adapt their behavior to yesterday's political outcomes. Party Competition shows how agent-based modeling can be used to accurately reflect how political systems really work. It demonstrates that politicians who are satisfied with relatively modest vote shares often do better at winning votes than rivals who search ceaselessly for higher shares of the vote. It reveals that politicians who pay close attention to their personal preferences when setting party policy often have more success than opponents who focus solely on the preferences of voters, that some politicians have idiosyncratic "valence" advantages that enhance their electability--and much more.

Agent-Based and Individual-Based Modeling

Agent-Based and Individual-Based Modeling
Author : Steven F. Railsback,Volker Grimm
Publisher : Princeton University Press
Release Date : 2019-03-26
Category : Science
Total pages :360
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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 systems. Steven Railsback and Volker Grimm lead students stepwise through the processes of designing, programming, documenting, and doing scientific research with agent-based models, focusing on the adaptive behaviors that make these models necessary. They cover the fundamentals of modeling and model analysis, introduce key modeling concepts, and demonstrate how to implement them using NetLogo. They also address pattern-oriented modeling, an invaluable strategy for modeling real-world problems and developing theory. This accessible and authoritative book focuses on modeling as a tool for understanding real complex systems. It explains how to pose a specific question, use observations from actual systems to design models, write and test software, and more. A hands-on introduction that guides students from conceptual design to computer implementation to analysis Filled with new examples and exercises and compatible with the latest version of NetLogo Ideal for students and researchers across the natural and social sciences Written by two leading practitioners Supported by extensive instructional materials at www.railsback-grimm-abm-book.com