A General Agent-based Model of Social Learning
| Author | : Sarah Nowak |
| Publisher | : |
| Total Pages | : 57 |
| Release | : 2017 |
| Genre | : Breast |
| ISBN | : 9780833097583 |
A General Agent Based Model Of Social Learning
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Agent-Based Modeling for Archaeology
| Author | : Iza Romanowska |
| Publisher | : SFI Press |
| Total Pages | : 442 |
| Release | : 2021-08-02 |
| Genre | : Social Science |
| ISBN | : 1947864386 |
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.
An Introduction to Agent-Based Modeling
| Author | : Uri Wilensky |
| Publisher | : MIT Press |
| Total Pages | : 505 |
| Release | : 2015-04-03 |
| Genre | : Computers |
| ISBN | : 0262731894 |
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 |
| Total Pages | : 113 |
| Release | : 2008 |
| Genre | : Computers |
| ISBN | : 1412949645 |
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 Modelling in Economics
| Author | : Lynne Hamill |
| Publisher | : John Wiley & Sons |
| Total Pages | : 256 |
| Release | : 2016-01-19 |
| Genre | : Social Science |
| ISBN | : 1118456076 |
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.
Modelling Social Learning in an Agent-Based Baseline Macro Model
| Author | : Isabelle Salle |
| Publisher | : |
| Total Pages | : 33 |
| Release | : 2014 |
| Genre | : |
| ISBN | : |
We analyse the dynamics resulting from social learning in a simple general equilibrium (GE) model, whose structure is similar to the one underlying macroeconomic models of the New Macroeconomic Synthesis. The economy is composed by households and firms who exchange labour and consumption goods in the corresponding markets with potential rationing. Market interactions are modelled through an Agent-Based Model (ABM), in which heterogeneous agents operate under bounded rationality and social learning. We discuss the robustness of the symmetric optimal equilibrium of this GE model, by testing the ability of agents to coordinate on it through this learning scheme in the absence of substantive rationality and perfect information. Our results indicate that one needs to "discipline" social learning in order to obtain realistic dynamics out of this simple model. However, full coordination of agents on this equilibrium remains hard to obtain, and social welfare loss remains. Our results are quite robust and do not depend on our specific modelling assumptions.
Proceedings of the 2019 International Conference of The Computational Social Science Society of the Americas
| Author | : Zining Yang |
| Publisher | : Springer Nature |
| Total Pages | : 403 |
| Release | : 2021-10-02 |
| Genre | : Science |
| ISBN | : 3030775178 |
This book presents the latest research into CSS methods, uses, and results, as presented at the 2019 annual conference of the CSSSA. This conference was held in Santa Fe, New Mexico, October 24 – 27, 2019, at the Drury Plaza Hotel. What follows is a diverse representation of new results and approaches for using the tools of CSS and agent-based modeling (ABM) for exploring complex phenomena across many different domains. Readers will therefore not only have the results of these specific projects on which to build, but will also gain a greater appreciation for the broad scope of CSS, and have a wealth of case-study examples that can serve as meaningful exemplars for new research projects and activities. The Computational Social Science Society of the Americas (CSSSA) is a professional society that aims to advance the field of CSS in all its areas, from fundamental principles to real-world applications, by holding conferences and workshops, promoting standards of scientific excellence in research and teaching, and publishing novel research findings.
Agent-Based Models
| Author | : Nigel Gilbert |
| Publisher | : SAGE Publications |
| Total Pages | : 129 |
| Release | : 2019-11-15 |
| Genre | : Reference |
| ISBN | : 1506355595 |
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 Social Behavior
| Author | : Paul Smaldino |
| Publisher | : Princeton University Press |
| Total Pages | : 360 |
| Release | : 2023-10-03 |
| Genre | : Social Science |
| ISBN | : 0691224145 |
A comprehensive introduction to mathematical and agent-based modeling of social behavior This book provides a unified, theory-driven introduction to key mathematical and agent-based models of social dynamics and cultural evolution, teaching readers how to build their own models, analyze them, and integrate them with empirical research programs. It covers a variety of modeling topics, each exemplified by one or more archetypal models, and helps readers to develop strong theoretical foundations for understanding social behavior. Modeling Social Behavior equips social, behavioral, and cognitive scientists with an essential tool kit for thinking about and studying complex social systems using mathematical and computational models. Combines both mathematical and agent-based modeling of social behavior Integrates cognitive science, social science, and cultural evolution Covers topics such as the philosophy of modeling, collective movement, segregation, contagion, polarization, the evolution of cooperation, the emergence of norms, networks, and the scientific process Discusses more advanced topics, including how to use models to build a more robust empirical research program An ideal introductory textbook for graduate students or advanced undergraduates An invaluable resource for practitioners
Agent-Based Models in Economics
| Author | : Domenico Delli Gatti |
| Publisher | : Cambridge University Press |
| Total Pages | : 261 |
| Release | : 2018-03-22 |
| Genre | : Business & Economics |
| ISBN | : 1108414990 |
The first step-by-step introduction to the methodology of agent-based models in economics, their mathematical and statistical analysis, and real-world applications.
