Agent Based And Individual Based Modeling

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Agent-Based and Individual-Based Modeling

Author : Steven F. Railsback
Publisher : Princeton University Press
ISBN 13 : 0691190836
Total Pages : 358 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Agent-Based and Individual-Based Modeling by : Steven F. Railsback

Download or read book Agent-Based and Individual-Based Modeling written by Steven F. Railsback and published by Princeton University Press. This book was released on 2019-03-26 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Agent-Based and Individual-Based Modeling

Author : Steven F. Railsback
Publisher : Princeton University Press
ISBN 13 : 0691136742
Total Pages : 349 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Agent-Based and Individual-Based Modeling by : Steven F. Railsback

Download or read book Agent-Based and Individual-Based Modeling written by Steven F. Railsback and published by Princeton University Press. This book was released on 2012 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Individual-based Modeling and Ecology

Author : Volker Grimm
Publisher : Princeton University Press
ISBN 13 : 1400850622
Total Pages : 445 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Individual-based Modeling and Ecology by : Volker Grimm

Download or read book Individual-based Modeling and Ecology written by Volker Grimm and published by Princeton University Press. This book was released on 2013-11-28 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Individual-based models are an exciting and widely used new tool for ecology. These computational models allow scientists to explore the mechanisms through which population and ecosystem ecology arises from how individuals interact with each other and their environment. This book provides the first in-depth treatment of individual-based modeling and its use to develop theoretical understanding of how ecological systems work, an approach the authors call "individual-based ecology.? Grimm and Railsback start with a general primer on modeling: how to design models that are as simple as possible while still allowing specific problems to be solved, and how to move efficiently through a cycle of pattern-oriented model design, implementation, and analysis. Next, they address the problems of theory and conceptual framework for individual-based ecology: What is "theory"? That is, how do we develop reusable models of how system dynamics arise from characteristics of individuals? What conceptual framework do we use when the classical differential equation framework no longer applies? An extensive review illustrates the ecological problems that have been addressed with individual-based models. The authors then identify how the mechanics of building and using individual-based models differ from those of traditional science, and provide guidance on formulating, programming, and analyzing models. This book will be helpful to ecologists interested in modeling, and to other scientists interested in agent-based modeling.

An Introduction to Agent-Based Modeling

Author : Uri Wilensky
Publisher : MIT Press
ISBN 13 : 0262731894
Total Pages : 505 pages
Book Rating : 4.2/5 (627 download)

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Book Synopsis An Introduction to Agent-Based Modeling by : Uri Wilensky

Download or read book An Introduction to Agent-Based Modeling written by Uri Wilensky and published by MIT Press. This book was released on 2015-04-03 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approach—with hundreds of examples and exercises using NetLogo—enables readers to begin constructing models immediately, regardless of experience or discipline. The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information and concepts; end-of-chapter explorations; and references and lists of relevant reading. There is also an accompanying website with all the models and code.

Agent-Based Models

Author : Nigel Gilbert
Publisher : SAGE Publications
ISBN 13 : 1506355595
Total Pages : 129 pages
Book Rating : 4.5/5 (63 download)

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Book Synopsis Agent-Based Models by : Nigel Gilbert

Download or read book Agent-Based Models written by Nigel Gilbert and published by SAGE Publications. This book was released on 2019-11-15 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this popular book introduces agent-based modeling, an increasingly popular approach enabling researchers to build models where individual entities and their interactions are directly represented.

Modeling Populations of Adaptive Individuals

Author : Steven F. Railsback
Publisher : Princeton University Press
ISBN 13 : 0691180490
Total Pages : 195 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Modeling Populations of Adaptive Individuals by : Steven F. Railsback

Download or read book Modeling Populations of Adaptive Individuals written by Steven F. Railsback and published by Princeton University Press. This book was released on 2020-05-19 with total page 195 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book offers a new theory for modeling how organisms make tradeoff decisions and how these decisions affect both individuals and populations. Tradeoff decisions (or behaviors) are those that are optimize survival and include behaviors like foraging and reproduction. Existing theories have not painted a complete picture of tradeoff decisions because they only observe how the decisions of an individual affect them rather than how individuals impact, and are impacted by, the behavior of their communities. The authors' theory-which they call state and prediction based theory-uses individual-based models since these models show the complex ways that organisms relate to their environment. The authors' broader approach, one that integrates behavior and population dynamics, allows ecologists to see how individuals make adaptive tradeoff decisions. In simpler terms, this theory does not assume, as the previous models do, that future conditions are fixed, known, and unaffected by the behavior of others. Instead, the authors assume individuals make decisions like people do, which is by forecasting future conditions, using approximation to make good decisions, and updating their choices as conditions change"--

Agent-Based Modeling for Archaeology

Author : Iza Romanowska
Publisher : SFI Press
ISBN 13 : 1947864386
Total Pages : 442 pages
Book Rating : 4.9/5 (478 download)

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Book Synopsis Agent-Based Modeling for Archaeology by : Iza Romanowska

Download or read book Agent-Based Modeling for Archaeology written by Iza Romanowska and published by SFI Press. This book was released on 2021-08-02 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: To fully understand not only the past, but also the trajectories, of human societies, we need a more dynamic view of human social systems. Agent-based modeling (ABM), which can create fine-scale models of behavior over time and space, may reveal important, general patterns of human activity. Agent-Based Modeling for Archaeology is the first ABM textbook designed for researchers studying the human past. Appropriate for scholars from archaeology, the digital humanities, and other social sciences, this book offers novices and more experienced ABM researchers a modular approach to learning ABM and using it effectively. Readers will find the necessary background, discussion of modeling techniques and traps, references, and algorithms to use ABM in their own work. They will also find engaging examples of how other scholars have applied ABM, ranging from the study of the intercontinental migration pathways of early hominins, to the weather–crop–population cycles of the American Southwest, to the trade networks of Ancient Rome. This textbook provides the foundations needed to simulate the complexity of past human societies, offering researchers a richer understanding of the past—and likely future—of our species.

Agent-based Modeling of Tax Evasion

Author : Sascha Hokamp
Publisher : John Wiley & Sons
ISBN 13 : 1119155681
Total Pages : 388 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Agent-based Modeling of Tax Evasion by : Sascha Hokamp

Download or read book Agent-based Modeling of Tax Evasion written by Sascha Hokamp and published by John Wiley & Sons. This book was released on 2018-03-19 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The only single-source guide to understanding, using, adapting, and designing state-of-the-art agent-based modelling of tax evasion A computational method for simulating the behavior of individuals or groups and their effects on an entire system, agent-based modeling has proven itself to be a powerful new tool for detecting tax fraud. While interdisciplinary groups and individuals working in the tax domain have published numerous articles in diverse peer-reviewed journals and have presented their findings at international conferences, until Agent-based Modelling of Tax Evasion there was no authoritative, single-source guide to state-of-the-art agent-based tax evasion modeling techniques and technologies. Featuring contributions from distinguished experts in the field from around the globe, Agent-Based Modelling of Tax Evasion provides in-depth coverage of an array of field tested agent-based tax evasion models. Models are presented in a unified format so as to enable readers to systematically work their way through the various modeling alternatives available to them. Three main components of each agent-based model are explored in accordance with the Overview, Design Concepts, and Details (ODD) protocol, each section of which contains several sub elements that help to illustrate the model clearly and that assist readers in replicating the modeling results described. Presents models in a unified and structured manner to provide a point of reference for readers interested in agent-based modelling of tax evasion Explores the theoretical aspects and diversity of agent-based modeling through the example of tax evasion Provides an overview of the characteristics of more than thirty agent-based tax evasion frameworks Functions as a solid foundation for lectures and seminars on agent-based modelling of tax evasion The only comprehensive treatment of agent-based tax evasion models and their applications, this book is an indispensable working resource for practitioners and tax evasion modelers both in the agent-based computational domain and using other methodologies. It is also an excellent pedagogical resource for teaching tax evasion modeling and/or agent-based modeling generally.

Ocean Ecology

Author : J. Emmett Duffy
Publisher : Princeton University Press
ISBN 13 : 0691190534
Total Pages : 464 pages
Book Rating : 4.6/5 (911 download)

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Book Synopsis Ocean Ecology by : J. Emmett Duffy

Download or read book Ocean Ecology written by J. Emmett Duffy and published by Princeton University Press. This book was released on 2021-08-10 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive introduction to ocean ecology and a new way of thinking about ocean life Marine ecology is more interdisciplinary, broader in scope, and more intimately linked to human activities than ever before. Ocean Ecology provides advanced undergraduates, graduate students, and practitioners with an integrated approach to marine ecology that reflects these new scientific realities, and prepares students for the challenges of studying and managing the ocean as a complex adaptive system. This authoritative and accessible textbook advances a framework based on interactions among four major features of marine ecosystems—geomorphology, the abiotic environment, biodiversity, and biogeochemistry—and shows how life is a driver of environmental conditions and dynamics. Ocean Ecology explains the ecological processes that link organismal to ecosystem scales and that shape the major types of ocean ecosystems, historically and in today's Anthropocene world. Provides an integrated new approach to understanding and managing the ocean Shows how biological diversity is the heart of functioning ecosystems Spans genes to earth systems, surface to seafloor, and estuary to ocean gyre Links species composition, trait distribution, and other ecological structures to the functioning of ecosystems Explains how fishing, fossil fuel combustion, industrial fertilizer use, and other human impacts are transforming the Anthropocene ocean An essential textbook for students and an invaluable resource for practitioners

Empirical Agent-Based Modelling - Challenges and Solutions

Author : Alexander Smajgl
Publisher : Springer Science & Business Media
ISBN 13 : 1461461340
Total Pages : 249 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Empirical Agent-Based Modelling - Challenges and Solutions by : Alexander Smajgl

Download or read book Empirical Agent-Based Modelling - Challenges and Solutions written by Alexander Smajgl and published by Springer Science & Business Media. This book was released on 2013-09-12 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This instructional book showcases techniques to parameterise human agents in empirical agent-based models (ABM). In doing so, it provides a timely overview of key ABM methodologies and the most innovative approaches through a variety of empirical applications. It features cutting-edge research from leading academics and practitioners, and will provide a guide for characterising and parameterising human agents in empirical ABM. In order to facilitate learning, this text shares the valuable experiences of other modellers in particular modelling situations. Very little has been published in the area of empirical ABM, and this contributed volume will appeal to graduate-level students and researchers studying simulation modeling in economics, sociology, ecology, and trans-disciplinary studies, such as topics related to sustainability. In a similar vein to the instruction found in a cookbook, this text provides the empirical modeller with a set of 'recipes' ready to be implemented. Agent-based modeling (ABM) is a powerful, simulation-modeling technique that has seen a dramatic increase in real-world applications in recent years. In ABM, a system is modeled as a collection of autonomous decision-making entities called “agents.” Each agent individually assesses its situation and makes decisions on the basis of a set of rules. Agents may execute various behaviors appropriate for the system they represent—for example, producing, consuming, or selling. ABM is increasingly used for simulating real-world systems, such as natural resource use, transportation, public health, and conflict. Decision makers increasingly demand support that covers a multitude of indicators that can be effectively addressed using ABM. This is especially the case in situations where human behavior is identified as a critical element. As a result, ABM will only continue its rapid growth. This is the first volume in a series of books that aims to contribute to a cultural change in the community of empirical agent-based modelling. This series will bring together representational experiences and solutions in empirical agent-based modelling. Creating a platform to exchange such experiences allows comparison of solutions and facilitates learning in the empirical agent-based modelling community. Ultimately, the community requires such exchange and learning to test approaches and, thereby, to develop a robust set of techniques within the domain of empirical agent-based modelling. Based on robust and defendable methods, agent-based modelling will become a critical tool for research agencies, decision making and decision supporting agencies, and funding agencies. This series will contribute to more robust and defendable empirical agent-based modelling.

Spatial Microsimulation with R

Author : Robin Lovelace
Publisher : CRC Press
ISBN 13 : 131536316X
Total Pages : 260 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Spatial Microsimulation with R by : Robin Lovelace

Download or read book Spatial Microsimulation with R written by Robin Lovelace and published by CRC Press. This book was released on 2017-09-07 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Agent-Based Modeling and Network Dynamics

Author : Akira Namatame
Publisher : Oxford University Press
ISBN 13 : 0191074993
Total Pages : 320 pages
Book Rating : 4.1/5 (91 download)

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Book Synopsis Agent-Based Modeling and Network Dynamics by : Akira Namatame

Download or read book Agent-Based Modeling and Network Dynamics written by Akira Namatame and published by Oxford University Press. This book was released on 2016-01-28 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: While the significance of networks in various human behavior and activities has a history as long as human's existence, network awareness is a recent scientific phenomenon. The neologism network science is just one or two decades old. Nevertheless, with this limited time, network thinking has substantially reshaped the recent development in economics, and almost all solutions to real-world problems involve the network element. This book integrates agent-based modeling and network science. It is divided into three parts, namely, foundations, primary dynamics on and of social networks, and applications. The authors begin with the network origin of agent-based models, known as cellular automata, and introduce a number of classic models, such as Schelling's segregation model and Axelrod's spatial game. The essence of the foundation part is the network-based agent-based models in which agents follow network-based decision rules. Under the influence of the substantial progress in network science in late 1990s, these models have been extended from using lattices into using small-world networks, scale-free networks, etc. The text also shows that the modern network science mainly driven by game-theorists and sociophysicists has inspired agent-based social scientists to develop alternative formation algorithms, known as agent-based social networks. It reviews a number of pioneering and representative models in this family. Upon the given foundation, the second part reviews three primary forms of network dynamics, such as diffusions, cascades, and influences. These primary dynamics are further extended and enriched by practical networks in goods-and-service markets, labor markets, and international trade. At the end, the book considers two challenging issues using agent-based models of networks: network risks and economic growth.

Agent-based Modeling and Simulation

Author : S. Taylor
Publisher : Springer
ISBN 13 : 1137453648
Total Pages : 314 pages
Book Rating : 4.1/5 (374 download)

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Book Synopsis Agent-based Modeling and Simulation by : S. Taylor

Download or read book Agent-based Modeling and Simulation written by S. Taylor and published by Springer. This book was released on 2014-08-27 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Operational Research (OR) deals with the use of advanced analytical methods to support better decision-making. It is multidisciplinary with strong links to management science, decision science, computer science and many application areas such as engineering, manufacturing, commerce and healthcare. In the study of emergent behaviour in complex adaptive systems, Agent-based Modelling & Simulation (ABMS) is being used in many different domains such as healthcare, energy, evacuation, commerce, manufacturing and defense. This collection of articles presents a convenient introduction to ABMS with papers ranging from contemporary views to representative case studies. The OR Essentials series presents a unique cross-section of high quality research work fundamental to understanding contemporary issues and research across a range of Operational Research (OR) topics. It brings together some of the best research papers from the esteemed Operational Research Society and its associated journals, also published by Palgrave Macmillan.

Agent-Based Modelling and Geographical Information Systems

Author : Andrew Crooks
Publisher : SAGE Publications Limited
ISBN 13 : 9781473958654
Total Pages : 0 pages
Book Rating : 4.9/5 (586 download)

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Book Synopsis Agent-Based Modelling and Geographical Information Systems by : Andrew Crooks

Download or read book Agent-Based Modelling and Geographical Information Systems written by Andrew Crooks and published by SAGE Publications Limited. This book was released on 2019-01-16 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the era of Big Data and computational social science. It is an era that requires tools which can do more than visualise data but also model the complex relation between data and human action, and interaction. Agent-Based Models (ABM) - computational models which simulate human action and interaction – do just that. This textbook explains how to design and build ABM and how to link the models to Geographical Information Systems. It guides you from the basics through to constructing more complex models which work with data and human behaviour in a spatial context. All of the fundamental concepts are explained and related to practical examples to facilitate learning (with models developed in NetLogo with all code examples available on the accompanying website). You will be able to use these models to develop your own applications and link, where appropriate, to Geographical Information Systems. All of the key ideas and methods are explained in detail: geographical modelling; an introduction to ABM; the fundamentals of Geographical Information Science; why ABM and GIS; using QGIS; designing and building an ABM; calibration and validation; modelling human behavior. An applied primer, that provides fundamental knowledge and practical skills, it will provide you with the skills to build and run your own models, and to begin your own research projects.

Assessing the Use of Agent-Based Models for Tobacco Regulation

Author : Institute of Medicine
Publisher : National Academies Press
ISBN 13 : 0309317258
Total Pages : 290 pages
Book Rating : 4.3/5 (93 download)

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Book Synopsis Assessing the Use of Agent-Based Models for Tobacco Regulation by : Institute of Medicine

Download or read book Assessing the Use of Agent-Based Models for Tobacco Regulation written by Institute of Medicine and published by National Academies Press. This book was released on 2015-07-17 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tobacco consumption continues to be the leading cause of preventable disease and death in the United States. The Food and Drug Administration (FDA) regulates the manufacture, distribution, and marketing of tobacco products - specifically cigarettes, cigarette tobacco, roll-your-own tobacco, and smokeless tobacco - to protect public health and reduce tobacco use in the United States. Given the strong social component inherent to tobacco use onset, cessation, and relapse, and given the heterogeneity of those social interactions, agent-based models have the potential to be an essential tool in assessing the effects of policies to control tobacco. Assessing the Use of Agent-Based Models for Tobacco Regulation describes the complex tobacco environment; discusses the usefulness of agent-based models to inform tobacco policy and regulation; presents an evaluation framework for policy-relevant agent-based models; examines the role and type of data needed to develop agent-based models for tobacco regulation; provides an assessment of the agent-based model developed for FDA; and offers strategies for using agent-based models to inform decision making in the future.

Agent-Based Modeling of Sustainable Behaviors

Author : Amparo Alonso-Betanzos
Publisher : Springer
ISBN 13 : 3319463314
Total Pages : 257 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Agent-Based Modeling of Sustainable Behaviors by : Amparo Alonso-Betanzos

Download or read book Agent-Based Modeling of Sustainable Behaviors written by Amparo Alonso-Betanzos and published by Springer. This book was released on 2017-01-06 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using the O.D.D. (Overview, Design concepts, Detail) protocol, this title explores the role of agent-based modeling in predicting the feasibility of various approaches to sustainability. The chapters incorporated in this volume consist of real case studies to illustrate the utility of agent-based modeling and complexity theory in discovering a path to more efficient and sustainable lifestyles. The topics covered within include: households' attitudes toward recycling, designing decision trees for representing sustainable behaviors, negotiation-based parking allocation, auction-based traffic signal control, and others. This selection of papers will be of interest to social scientists who wish to learn more about agent-based modeling as well as experts in the field of agent-based modeling.

Agent-Based Spatial Simulation with NetLogo

Author : Arnaud Banos
Publisher : Elsevier
ISBN 13 : 008100723X
Total Pages : 278 pages
Book Rating : 4.0/5 (81 download)

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Book Synopsis Agent-Based Spatial Simulation with NetLogo by : Arnaud Banos

Download or read book Agent-Based Spatial Simulation with NetLogo written by Arnaud Banos and published by Elsevier. This book was released on 2015-08-26 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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