An Introduction to Agent-Based Modeling

Modeling Natural, Social, and Engineered Complex Systems with NetLogo
Author: Uri Wilensky,William Rand
Publisher: MIT Press
ISBN: 0262731894
Category: Computers
Page: 504
View: 9191

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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.

An Introduction to Agent-Based Modeling

Modeling Natural, Social, and Engineered Complex Systems with NetLogo
Author: Uri Wilensky,William Rand
Publisher: MIT Press
ISBN: 0262328135
Category: Computers
Page: 504
View: 7805

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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 and Individual-Based Modeling

A Practical Introduction
Author: Steven F. Railsback,Volker Grimm
Publisher: Princeton University Press
ISBN: 0691136742
Category: Science
Page: 329
View: 3354

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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

Artificial Life Models in Software


Author: Maciej Komosinski,Andrew Adamatzky
Publisher: Springer Science & Business Media
ISBN: 1848822855
Category: Computers
Page: 441
View: 1066

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The advent of powerful processing technologies and the advances in software development tools have drastically changed the approach and implementation of computational research in fundamental properties of living systems through simulating and synthesizing biological entities and processes in artificial media. Nowadays realistic physical and physiological simulation of natural and would-be creatures, worlds and societies becomes a low-cost task for ordinary home computers. The progress in technology has dramatically reshaped the structure of the software, the execution of a code, and visualization fundamentals. This has led to the emergence of novel breeds of artificial life software models, including three-dimensional programmable simulation environment, distributed discrete events platforms and multi-agent systems. This second edition reflects the technological and research advancements, and presents the best examples of artificial life software models developed in the World and available for users.

Agent-Based Modelling in Population Studies

Concepts, Methods, and Applications
Author: André Grow,Jan Van Bavel
Publisher: Springer
ISBN: 3319322834
Category: Social Science
Page: 513
View: 643

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This book examines the use of agent-based modelling (ABM) in population studies, from concepts to applications, best practices to future developments. It features papers written by leading experts in the field that will help readers to better understand the usefulness of ABM for population projections, how ABM can be injected with empirical data to achieve a better match between model and reality, how geographic information can be fruitfully used in ABM, and how ABM results can be reported effectively and correctly. Coverage ranges from detailing the relation between ABM and existing paradigms in population studies to infusing agent-based models with empirical data. The papers show the benefits that ABM offers the field, including enhanced theory formation by better linking the micro level with the macro level, the ability to represent populations more adequately as complex systems, and the possibility to study rare events and the implications of alternative mechanisms in artificial laboratories. In addition, readers will discover guidelines and best practices with detailed examples of how to apply agent-based models in different areas of population research, including human mating behaviour, migration, and socio-structural determinants of health behaviours. Earlier versions of the papers in this book have been presented at the workshop “Recent Developments and Future Directions in Agent-Based Modelling in Population Studies,” which took place at the University of Leuven (KU Leuven), Belgium, in September 2014. The book will contribute to the development of best practices in the field and will provide a solid point of reference for scholars who want to start using agent-based modelling in their own research.

Agent-Based Models


Author: Nigel Gilbert,Professor Nigel Gilbert
Publisher: SAGE
ISBN: 1412949645
Category: Social Science
Page: 98
View: 5867

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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.

Growing Artificial Societies

Social Science from the Bottom Up
Author: Joshua M. Epstein,Robert Axtell
Publisher: Brookings Institution Press
ISBN: 9780262050531
Category: Social Science
Page: 208
View: 6241

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""Growing Artificial Societies" is a milestone in social science research. It vividly demonstrates the potential of agent-based computer simulation to break disciplinary boundaries. It does this by analyzing in a unified framework the dynamic interactions of such diverse activities as trade, combat, mating, culture, and disease. It is an impressive achievement." -- Robert Axelrod, University of Michigan How do social structures and group behaviors arise from the interaction of individuals? "Growing Artificial Societies" approaches this question with cutting-edge computer simulation techniques. Fundamental collective behaviors such as group formation, cultural transmission, combat, and trade are seen to "emerge" from the interaction of individual agents following a few simple rules. In their program, named Sugarscape, Epstein and Axtell begin the development of a "bottom up" social science that is capturing the attention of researchers and commentators alike. The study is part of the 2050 Project, a joint venture of the Santa Fe Institute, the World Resources Institute, and the Brookings Institution. The project is an international effort to identify conditions for a sustainable global system in the next century and to design policies to help achieve such a system. "Growing Artificial Societies" is also available on CD-ROM, which includes about 50 animations that develop the scenarios described in the text. "Copublished with the Brookings Institution"

Agent-Based Spatial Simulation with NetLogo


Author: Arnaud Banos,Christophe Lang,Nicolas Marilleau
Publisher: Elsevier
ISBN: 008100723X
Category: Computers
Page: 278
View: 6846

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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

Cities and Complexity

Understanding Cities with Cellular Automata, Agent-based Models, and Fractals
Author: Michael Batty
Publisher: Mit Press
ISBN: 9780262524797
Category: Political Science
Page: 565
View: 854

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Viewing urban dynamics in the context of complexity theory; models and examples in scales from the local to the regional.

Agent-Based Modeling and Network Dynamics


Author: Akira Namatame,Shu-Heng Chen
Publisher: Oxford University Press
ISBN: 0191074993
Category: Science
Page: 320
View: 8566

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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 Modelling in Economics


Author: Lynne Hamill,Nigel Gilbert
Publisher: John Wiley & Sons
ISBN: 1118456076
Category: Mathematics
Page: 272
View: 6524

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Agent–based modelling in economics Lynne Hamill and Nigel Gilbert, Centre for Research in Social Simulation (CRESS), University of Surrey, UK New methods of economic modelling have been sought as a result of the global economic downturn in 2008.This unique book highlights the benefits of an agent–based modelling (ABM) approach. It demonstrates how ABM can easily handle complexity: heterogeneous people, households and firms interacting dynamically. Unlike traditional methods, ABM does not require people or firms to optimise or economic systems to reach equilibrium. ABM offers a way to link micro foundations directly to the macro situation. Key features: Introduces the concept of agent–based modelling and shows how it differs from existing approaches. Provides a theoretical and methodological rationale for using ABM in economics, along with practical advice on how to design and create the models. Each chapter starts with a short summary of the relevant economic theory and then shows how to apply ABM. Explores both topics covered in basic economics textbooks and current important policy themes; unemployment, exchange rates, banking and environmental issues. Describes the models in pseudocode, enabling the reader to develop programs in their chosen language. Supported by a website featuring the NetLogo models described in the book. Agent–based Modelling in Economics provides students and researchers with the skills to design, implement, and analyze agent–based models. Third year undergraduate, master and doctoral students, faculty and professional economists will find this book an invaluable resource.

A Course in Mathematical Modeling


Author: Douglas D. Mooney,Randall J. Swift
Publisher: Cambridge University Press
ISBN: 9780883857120
Category: Mathematics
Page: 431
View: 4717

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This book teaches elementary mathematical modeling.

Complexity

A Guided Tour
Author: Melanie Mitchell
Publisher: Oxford University Press
ISBN: 0199724571
Category: Science
Page: 368
View: 654

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What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of neurons produce something as extraordinarily complex as consciousness? In this remarkably clear and companionable book, leading complex systems scientist Melanie Mitchell provides an intimate tour of the sciences of complexity, a broad set of efforts that seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. Richly illustrated, Complexity: A Guided Tour--winner of the 2010 Phi Beta Kappa Book Award in Science--offers a wide-ranging overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for its contribution to solving some of the most important scientific questions of our time.

Agent-Based Modeling of Environmental Conflict and Cooperation


Author: Todd K. BenDor,Jürgen Scheffran
Publisher: CRC Press
ISBN: 1351106244
Category: Law
Page: 333
View: 377

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This book examines the recent development and use of computer modeling and simulation as an important tool for understanding environmental and resource-based conflicts and for finding pathways for conflict resolution and cooperation. It introduces a new, innovative technique for using agent-based modeling (ABM) as a tool for better understanding environmental conflicts and discusses the application of agent-based modeling for the analysis of multi-agent interaction and conflict and demonstrates the natural interdisciplinary convergence. The authors explore numerous examples of environmental and resource conflicts around the world, as well as cooperative approaches for conflict resolution.

Confronting Complexity


Author: Roger Jones
Publisher: Lulu.com
ISBN: 0997255757
Category:
Page: N.A
View: 770

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This books addresses the problem of identifying and managing extreme social events, X-Events, that propel human progress. These include stock-market crashes, climate change, revolution, and much more. It is shown that X-Events are are a natural and necessary part of the human condition.

Complex Adaptive Systems

An Introduction to Computational Models of Social Life
Author: John H. Miller,Scott E. Page
Publisher: Princeton University Press
ISBN: 9781400835522
Category: Social Science
Page: 288
View: 1061

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This book provides the first clear, comprehensive, and accessible account of complex adaptive social systems, by two of the field's leading authorities. Such systems--whether political parties, stock markets, or ant colonies--present some of the most intriguing theoretical and practical challenges confronting the social sciences. Engagingly written, and balancing technical detail with intuitive explanations, Complex Adaptive Systems focuses on the key tools and ideas that have emerged in the field since the mid-1990s, as well as the techniques needed to investigate such systems. It provides a detailed introduction to concepts such as emergence, self-organized criticality, automata, networks, diversity, adaptation, and feedback. It also demonstrates how complex adaptive systems can be explored using methods ranging from mathematics to computational models of adaptive agents. John Miller and Scott Page show how to combine ideas from economics, political science, biology, physics, and computer science to illuminate topics in organization, adaptation, decentralization, and robustness. They also demonstrate how the usual extremes used in modeling can be fruitfully transcended.

Comprehensive Geographic Information Systems


Author: N.A
Publisher: Elsevier
ISBN: 0128047933
Category: Science
Page: 1474
View: 612

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Geographical Information Systems is a computer system used to capture, store, analyze and display information related to positions on the Earth’s surface. It has the ability to show multiple types of information on multiple geographical locations in a single map, enabling users to assess patterns and relationships between different information points, a crucial component for multiple aspects of modern life and industry. This 3-volumes reference provides an up-to date account of this growing discipline through in-depth reviews authored by leading experts in the field. Covers a rapidly expanding discipline, providing readers with a detailed overview of all aspects of geographic information systems, principles and applications Emphasizes the practical, socioeconomic applications of GIS Provides readers with a reliable, one-stop comprehensive guide, saving them time in searching for the information they need from different sources

Managing Business Complexity

Discovering Strategic Solutions with Agent-Based Modeling and Simulation
Author: Michael J. North,Charles M. Macal
Publisher: Oxford University Press
ISBN: 0195172116
Category: Business & Economics
Page: 313
View: 4409

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Agent-based modeling and simulation (ABMS) is a developing technique for understanding emergent behavior in complex systems. Pioneered by the Santa Fe Institute, it is a flexible managerial tool that offers a way to examine the robustness of particular solutions a manager might be considering. It helps managers simulate a large number of choices by individual actors and determine the consequences of other actors adapting to their decisions. This book is a focused, applicable introduction to business ABMS for senior executives and managers.

Learning Science Through Computer Games and Simulations


Author: National Research Council,Division of Behavioral and Social Sciences and Education,Board on Science Education,Committee on Science Learning: Computer Games, Simulations, and Education
Publisher: National Academies Press
ISBN: 0309212669
Category: Education
Page: 174
View: 9821

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At a time when scientific and technological competence is vital to the nation's future, the weak performance of U.S. students in science reflects the uneven quality of current science education. Although young children come to school with innate curiosity and intuitive ideas about the world around them, science classes rarely tap this potential. Many experts have called for a new approach to science education, based on recent and ongoing research on teaching and learning. In this approach, simulations and games could play a significant role by addressing many goals and mechanisms for learning science: the motivation to learn science, conceptual understanding, science process skills, understanding of the nature of science, scientific discourse and argumentation, and identification with science and science learning. To explore this potential, Learning Science: Computer Games, Simulations, and Education, reviews the available research on learning science through interaction with digital simulations and games. It considers the potential of digital games and simulations to contribute to learning science in schools, in informal out-of-school settings, and everyday life. The book also identifies the areas in which more research and research-based development is needed to fully capitalize on this potential. Learning Science will guide academic researchers; developers, publishers, and entrepreneurs from the digital simulation and gaming community; and education practitioners and policy makers toward the formation of research and development partnerships that will facilitate rich intellectual collaboration. Industry, government agencies and foundations will play a significant role through start-up and ongoing support to ensure that digital games and simulations will not only excite and entertain, but also motivate and educate.

Generative Social Science: Studies in Agent-Based Computational Modeling

Studies in Agent-Based Computational Modeling
Author: Joshua M. Epstein
Publisher: Princeton University Press
ISBN: 1400842875
Category: Business & Economics
Page: 384
View: 6865

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Agent-based computational modeling is changing the face of social science. In Generative Social Science, Joshua Epstein argues that this powerful, novel technique permits the social sciences to meet a fundamentally new standard of explanation, in which one "grows" the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors, represented as mathematical or software objects. After elaborating this notion of generative explanation in a pair of overarching foundational chapters, Epstein illustrates it with examples chosen from such far-flung fields as archaeology, civil conflict, the evolution of norms, epidemiology, retirement economics, spatial games, and organizational adaptation. In elegant chapter preludes, he explains how these widely diverse modeling studies support his sweeping case for generative explanation. This book represents a powerful consolidation of Epstein's interdisciplinary research activities in the decade since the publication of his and Robert Axtell's landmark volume, Growing Artificial Societies. Beautifully illustrated, Generative Social Science includes a CD that contains animated movies of core model runs, and programs allowing users to easily change assumptions and explore models, making it an invaluable text for courses in modeling at all levels.