Agent Based and Individual Based Modeling

Agent Based and Individual Based Modeling

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, ...

Author: Steven F. Railsback

Publisher: Princeton University Press

ISBN: 9780691190839

Category: Science

Page: 360

View: 758

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
Categories: Science

Agent Based and Individual Based Modeling

Agent Based and Individual Based Modeling

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 ...

Author: Steven F. Railsback

Publisher: Princeton University Press

ISBN: 9780691136745

Category: Science

Page: 329

View: 149

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
Categories: Science

Agent Based and Individual Based Modeling

Agent Based and Individual Based Modeling

A Practical Introduction, Second Edition Steven F. Railsback, Volker Grimm ... There have been historical differences between individual and agentbased models: IBMs focused on individual variability and local interactions, whereas ABMs ...

Author: Steven F. Railsback

Publisher: Princeton University Press

ISBN: 9780691190044

Category: Science

Page:

View: 284

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
Categories: Science

Agent based Modeling and Simulation in Archaeology

Agent based Modeling and Simulation in Archaeology

First, however, it will be useful to provide a brief introduction to agent-based simulation and how it relates to ... Princeton] and Railsback and Grimm [(2012) Agent-based and individual-based modeling: a practical introduction, ...

Author: Gabriel Wurzer

Publisher: Springer

ISBN: 9783319000084

Category: Science

Page: 269

View: 425

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.
Categories: Science

Agent Based Modelling and Geographical Information Systems

Agent Based Modelling and Geographical Information Systems

A Practical Primer Andrew Crooks, Nicolas Malleson, Ed Manley, Alison Heppenstall. These commands, which are necessary for the ... Railsback, S.F. and Grimm,V. (2011) Agent-Based and Individual-Based Modeling: A Practical Introduction.

Author: Andrew Crooks

Publisher: SAGE

ISBN: 9781526454164

Category: Science

Page: 408

View: 117

This textbook explains how to design and build Agent Based Models and how to link them to Geographical Information Systems.
Categories: Science

Agent Based Modeling and Simulation II

Agent Based Modeling and Simulation II

Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge University Press. Steven F. Railsback, S. 2019. Agent-Based and Individual-Based Modeling: A Practical Introduction. Princeton University Press Wang, ...

Author: Juan Martín García

Publisher: Juan Martín García

ISBN:

Category: Business & Economics

Page: 210

View: 917

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.
Categories: Business & Economics

Agent Based Modelling in Population Studies

Agent Based Modelling in Population Studies

How to build and use agent-based models in social science. ... Effect of individual protective behaviors on influenza transmission: An agent-based model. ... Agent-based and individual-based modeling: A practical introduction.

Author: André Grow

Publisher: Springer

ISBN: 9783319322834

Category: Social Science

Page: 513

View: 188

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.
Categories: Social Science

Simulating Bargaining Processes with Agent based Modelling

Simulating Bargaining Processes with Agent based Modelling

Kohler, T. A.; Gumerman, G. J. (Eds.) (1999): Dynamics in human and primate societies: Agent based modeling of social and spatial processes. ... Lave, Charles A.; March, James G. (1993): An introduction to models in the social sciences.

Author: Simon Scheller

Publisher: Tectum Wissenschaftsverlag

ISBN: 9783828865167

Category: Political Science

Page: 126

View: 803

Die Analyse von Verhandlungsprozessen spielt in der Politikwissenschaft eine wichtige Rolle. Sie bedient sich hierbei v. a. der Instrumente der Spieltheorie. In seinem Beitrag macht sich Herr Scheller daran, Grenzen spieltheoretischer Analysen solcher Prozesse aufzuzeigen sowie – und hier betritt er theoretisches Neuland – auf der Grundlage einer Agenten-basierten Computersimulation zu überwinden. Die Ergebnisse seiner Untersuchung sind eindrucksvoll: Er zeigt systematisch auf, wie Variationen der Umweltzustände und das Aufeinandertreffen unterschiedlicher Verhandlungsstrategien die Ergebnisse von Verhandlungsprozessen determinieren und unter welchen Bedingungen Akteure andere systematisch ausbeuten können. Im Kern sind seine Analysen geeignet, Umweltzustände zu identifizieren, die entweder Verhandlungseffizienz aus Sicht eines Akteurs oder Zustände mit fairen Ergebnissen evozieren. Schellers Beitrag ist in vielfacher Hinsicht bemerkenswert: Der Autor reflektiert kritisch den spieltheoretischen Forschungsstand und bedient sich dann des Instruments der Computersimulation, um angesichts der diagnostizierten Defizite einen innovativen Beitrag zur Analyse von Verhandlungsprozessen zu leisten. Die Ausführungen sind gut strukturiert und, obwohl äußerst anspruchsvoll, gut nachvollziehbar.
Categories: Political Science

Agent Based Modelling of Worker Exploitation

Agent Based Modelling of Worker Exploitation

Myers, G. J., Sandler, C., & Badgett, T. (2011). The art of software testing. John Wiley & Sons. Railsback, S. F., Grimm, V. (2011). Agent-based and individual-based modeling: A practical introduction. Princeton University Press.

Author: Thomas Chesney

Publisher: Springer Nature

ISBN: 9783030751340

Category: Social Science

Page: 171

View: 818

This book illustrates the potential for computer simulation in the study of modern slavery and worker abuse, and by extension in all social issues. It lays out a philosophy of how agent-based modelling can be used in the social sciences. In addressing modern slavery, Chesney considers precarious work that is vulnerable to abuse, like sweat-shop labour and prostitution, and shows how agent modelling can be used to study, understand and fight abuse in these areas. He explores the philosophy, application and practice of agent modelling through the popular and free software NetLogo. This topical book is grounded in the technology needed to address the messy, chaotic, real world problems that humanity faces—in this case the serious problem of abuse at work—but equally in the social sciences which are needed to avoid the unintended consequences inherent to human responses. It includes a short but extensive NetLogo guide which readers can use to quickly learn this software and go on to develop complex models. This is an important book for students and researchers of computational social science and others interested in agent-based modelling.
Categories: Social Science

Empirical Agent Based Modelling Challenges and Solutions

Empirical Agent Based Modelling   Challenges and Solutions

Accessed 20 July 2012 Railsback SF, Grimm V (2011) Agent-based and individual-based modeling: a practical introduction. Princeton University Press, Princeton, NJ Scheele B, Groeben N (1988) Dialog-Konsens-Methoden zur Rekonstruktion ...

Author: Alexander Smajgl

Publisher: Springer Science & Business Media

ISBN: 9781461461340

Category: Mathematics

Page: 249

View: 631

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.
Categories: Mathematics