Complex Agent Based Models

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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 Modeling and Simulation II

Author : Juan Martin Garcia
Publisher : Independently Published
ISBN 13 :
Total Pages : 208 pages
Book Rating : 4.5/5 (991 download)

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Book Synopsis Agent-Based Modeling and Simulation II by : Juan Martin Garcia

Download or read book Agent-Based Modeling and Simulation II written by Juan Martin Garcia and published by Independently Published. This book was released on 2021-01-23 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the book "Models based on Agents I" you have learned to: 1.- Install the software and create a model. 2.- Define the equations, using functions and tables. 3.- Simulate the model by viewing the numerical and graphic results. 4.- Create attributes, collections and aggregates. 5.- Add references. 6.- Define temporary parameters for the simulation. 7.- Import initial data. 8.- Import time series of data. In this book II, you learn to: 1.- Consolidate the import of data. 2.- Create new entities with actions and triggers. 3.- Design lots and cohorts of entities. 4.- Do Sensitivity Analysis. 5.- Optimization of the results. 6.- Calibration of the variables. 7.- See the results on a X-Y diagram. 8.- Integrate the model with GIS files.

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.

Economics as an Agent-Based Complex System

Author : H. Deguchi
Publisher : Springer Science & Business Media
ISBN 13 : 4431539573
Total Pages : 270 pages
Book Rating : 4.4/5 (315 download)

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Book Synopsis Economics as an Agent-Based Complex System by : H. Deguchi

Download or read book Economics as an Agent-Based Complex System written by H. Deguchi and published by Springer Science & Business Media. This book was released on 2011-06-28 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: In agent-based modeling the focus is very much on agent-based simulation, as simulation is a very important tool for agent-based modeling. We also use agent-based simulation in this book with a stress on the mathematical foundation of agent-based modeling. We introduce two original mathematical frameworks, a theory of SLD (Social Learning Dynamics) and an axiomatic theory of economic exchange (Exchange Algebra) among agents. Exchange algebra gives bottom-up reconstruction of SNA (System of National Accountings). SLD provides the concept of indirect control of socio-economic systems to manage structural change and its stability. We also compare agent-based simulation with gaming simulation and investigate the epistemological foundation of agent-based modeling.

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.

Agent-based Modeling and Simulation

Author : S. Taylor
Publisher : Springer
ISBN 13 : 1137453648
Total Pages : 223 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 223 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.

Modeling and Simulation of Complex Systems

Author : Robert Siegfried
Publisher : Springer Vieweg
ISBN 13 : 9783658075286
Total Pages : 0 pages
Book Rating : 4.0/5 (752 download)

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Book Synopsis Modeling and Simulation of Complex Systems by : Robert Siegfried

Download or read book Modeling and Simulation of Complex Systems written by Robert Siegfried and published by Springer Vieweg. This book was released on 2014-10-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robert Siegfried presents a framework for efficient agent-based modeling and simulation of complex systems. He compares different approaches for describing structure and dynamics of agent-based models in detail. Based on this evaluation the author introduces the “General Reference Model for Agent-based Modeling and Simulation” (GRAMS). Furthermore he presents parallel and distributed simulation approaches for execution of agent-based models –from small scale to very large scale. The author shows how agent-based models may be executed by different simulation engines that utilize underlying hardware resources in an optimized fashion.

Agent-Based Models

Author : Nigel Gilbert
Publisher : SAGE
ISBN 13 : 1412949645
Total Pages : 113 pages
Book Rating : 4.4/5 (129 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. This book was released on 2008 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 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 Modelling of Socio-Technical Systems

Author : Koen H. van Dam
Publisher : Springer Science & Business Media
ISBN 13 : 9400749333
Total Pages : 285 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Agent-Based Modelling of Socio-Technical Systems by : Koen H. van Dam

Download or read book Agent-Based Modelling of Socio-Technical Systems written by Koen H. van Dam and published by Springer Science & Business Media. This book was released on 2012-10-08 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: Decision makers in large scale interconnected network systems require simulation models for decision support. The behaviour of these systems is determined by many actors, situated in a dynamic, multi-actor, multi-objective and multi-level environment. How can such systems be modelled and how can the socio-technical complexity be captured? Agent-based modelling is a proven approach to handle this challenge. This book provides a practical introduction to agent-based modelling of socio-technical systems, based on a methodology that has been developed at TU Delft and which has been deployed in a large number of case studies. The book consists of two parts: the first presents the background, theory and methodology as well as practical guidelines and procedures for building models. In the second part this theory is applied to a number of case studies, where for each model the development steps are presented extensively, preparing the reader for creating own models.

X-Machines for Agent-Based Modeling

Author : Mariam Kiran
Publisher : CRC Press
ISBN 13 : 131535358X
Total Pages : 313 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis X-Machines for Agent-Based Modeling by : Mariam Kiran

Download or read book X-Machines for Agent-Based Modeling written by Mariam Kiran and published by CRC Press. This book was released on 2017-08-30 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the Foreword: "This book exemplifies one of the most successful approaches to modeling and simulating [the] new generation of complex systems. FLAME was designed to make the building of large scale complex systems models straightforward and the simulation code that it generates is highly efficient and can be run on any modern technology. FLAME was the first such platform that ran efficiently on high performance parallel computers and a version for GPU technology is also available. At its heart, and the reason why it is so efficient and robust, is the use of a powerful computational model ‘Communicating X-machines’ which is general enough to cope with most types of modelling problems. As well as being increasingly important in academic research, FLAME is now being applied in industry in many different application areas. This book describes the basics of FLAME and is illustrated with numerous examples." —Professor Mike Holcombe, University of Sheffield, UK Agent-based models have shown applications in various fields such as biology, economics, and social science. Over the years, multiple agent-based modeling frameworks have been produced, allowing experts with non-computing background to easily write and simulate their models. However, most of these models are limited by the capability of the framework, the time it takes for a simulation to finish, or how to handle the massive amounts of data produced. FLAME (Flexible Large-scale Agent-based Modeling Environment) was produced and developed through the years to address these issues. This book contains a comprehensive summary of the field, covers the basics of FLAME, and shows how concepts of X-machines, can be stretched across multiple fields to produce agent models. It has been written with several audiences in mind. First, it is organized as a collection of models, with detailed descriptions of how models can be designed, especially for beginners. A number of theoretical aspects of software engineering and how they relate to agent-based models are discussed for students interested in software engineering and parallel computing. Finally, it is intended as a guide to developers from biology, economics, and social science, who want to explore how to write agent-based models for their research area. By working through the model examples provided, anyone should be able to design and build agent-based models and deploy them. With FLAME, they can easily increase the agent number and run models on parallel computers, in order to save on simulation complexity and waiting time for results. Because the field is so large and active, the book does not aim to cover all aspects of agent-based modeling and its research challenges. The models are presented to show researchers how they can build complex agent functions for their models. The book demonstrates the advantage of using agent-based models in simulation experiments, providing a case to move away from differential equations and build more reliable, close to real, models. The Open Access version of this book, available at https://doi.org/10.1201/9781315370729, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license.

Agent-Based Computational Modelling

Author : Francesco C. Billari
Publisher : Taylor & Francis
ISBN 13 : 9783790816402
Total Pages : 684 pages
Book Rating : 4.8/5 (164 download)

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Book Synopsis Agent-Based Computational Modelling by : Francesco C. Billari

Download or read book Agent-Based Computational Modelling written by Francesco C. Billari and published by Taylor & Francis. This book was released on 2006-03-13 with total page 684 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.

Complex Agent-Based Models

Author : Mauro Gallegati
Publisher : Springer
ISBN 13 : 3319938584
Total Pages : 80 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Complex Agent-Based Models by : Mauro Gallegati

Download or read book Complex Agent-Based Models written by Mauro Gallegati and published by Springer. This book was released on 2018-09-19 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a thorough introduction to the highly promising complex agent-based approach to economics, in which agent-based models (ABMs) are used to represent economic systems as complex and evolving systems composed of heterogeneous agents of limited rationality who interact with each other, generating the system’s emergent properties in the process. This approach represents a response to the limitations of the dominant theory in economics, which does not consider the possibility of a major crisis, and to the inability of dynamic stochastic general equilibrium theory to generate empirically falsifiable propositions. In the new perspective, the focus is on identifying the elements of instability rather than the triggering event. As the theory of complexity demonstrates, the interactions of heterogeneous agents produce non-linearity: this puts an end to the age of certainties. With ABMs, the methodology is “from the bottom up”. The individual parameters and their distribution are estimated, and then evaluated to verify whether aggregate regularities emerge on the whole. In short, not only micro, but also meso and macro empirical validation are employed. Moreover, it shows that the mantra of growth should be supplanted by the concept of a growth. Given its depth of coverage, the book will enable students at the undergraduate and Master’s level to gain a firm grasp of this important emerging approach. “This book is flower blossomed by one of the two greatest Italian economists.” Bruce Greenwald, Columbia University “The author’s - the ABM prophet’s - thoughts on economics have been at the forefront of the world. Without a firm belief in and dedication to human society, it is impossible to write such a book. This is a work of high academic value, which can help readers quickly understand the history and current situation of complex economic theory. In particular, we can understand the basic viewpoints, academic status, advantages and shortcomings of various schools of economic theory.” Jie Wu, Guangzhou Milestone Software Co., China

Agent-Based Modeling of Sustainable Behaviors

Author : Amparo Alonso-Betanzos
Publisher : Springer
ISBN 13 : 3319463314
Total Pages : 270 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 270 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 Models in Economics

Author : Domenico Delli Gatti
Publisher : Cambridge University Press
ISBN 13 : 1108414990
Total Pages : 261 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis Agent-Based Models in Economics by : Domenico Delli Gatti

Download or read book Agent-Based Models in Economics written by Domenico Delli Gatti and published by Cambridge University Press. This book was released on 2018-03-22 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first step-by-step introduction to the methodology of agent-based models in economics, their mathematical and statistical analysis, and real-world applications.

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.

Assessing the Use of Agent-Based Models for Tobacco Regulation

Author : Institute of Medicine
Publisher : National Academies Press
ISBN 13 : 0309317258
Total Pages : 269 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 269 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.