Agent Based Models And Causal Inference

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Agent Based Models And Causal Inference
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Author : Gianluca Manzo
language : en
Publisher: John Wiley & Sons
Release Date : 2022-01-28
Agent Based Models And Causal Inference written by Gianluca Manzo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-28 with Mathematics categories.
Agent-based Models and Causal Inference Scholars of causal inference have given little credence to the possibility that ABMs could be an important tool in warranting causal claims. Manzo’s book makes a convincing case that this is a mistake. The book starts by describing the impressive progress that ABMs have made as a credible methodology in the last several decades. It then goes on to compare the inferential threats to ABMs versus the traditional methods of RCTs, regression, and instrumental variables showing that they have a common vulnerability of being based on untestable assumptions. The book concludes by looking at four examples where an analysis based on ABMs complements and augments the evidence for specific causal claims provided by other methods. Manzo has done a most convincing job of showing that ABMs can be an important resource in any researcher’s tool kit. —Christopher Winship, Diker-Tishman Professor of Sociology, Harvard University, USA Agent-based Models and Causal Inference is a first-rate contribution to the debate on, and practice of, causal claims. With exemplary rigor, systematic precision and pedagogic clarity, this book contrasts the assumptions about causality that undergird agent-based models, experimental methods, and statistically based observational methods, discusses the challenges these methods face as far as inferences go, and, in light of this discussion, elaborates the case for combining these methods’ respective strengths: a remarkable achievement. —Ivan Ermakoff, Professor of Sociology, University of Wisconsin-Madison, USA Agent-based models are a uniquely powerful tool for understanding how patterns in society may arise in often surprising and counter-intuitive ways. This book offers a strong and deeply reflected argument for how ABM’s can do much more: add to actual empirical explanation. The work is of great value to all social scientists interested in learning how computational modelling can help unraveling the complexity of the real social world. —Andreas Flache, Professor of Sociology at the University of Groningen, Netherlands Agent-based Models and Causal Inference is an important and much-needed contribution to sociology and computational social science. The book provides a rigorous new contribution to current understandings of the foundation of causal inference and justification in the social sciences. It provides a powerful and cogent alternative to standard statistical causal-modeling approaches to causation. Especially valuable is Manzo’s careful analysis of the conditions under which an agent-based simulation is relevant to causal inference. The book represents an exceptional contribution to sociology, the philosophy of social science, and the epistemology of simulations and models. —Daniel Little, Professor of philosophy, University of Michigan, USA Agent-based Models and Causal Inference delivers an insightful investigation into the conditions under which different quantitative methods can legitimately hold to be able to establish causal claims. The book compares agent-based computational methods with randomized experiments, instrumental variables, and various types of causal graphs. Organized in two parts, Agent-based Models and Causal Inference connects the literature from various fields, including causality, social mechanisms, statistical and experimental methods for causal inference, and agent-based computation models to help show that causality means different things within different methods for causal analysis, and that persuasive causal claims can only be built at the intersection of these various methods. Readers will also benefit from the inclusion of: A thorough comparison between agent-based computation models to randomized experiments, instrumental variables, and several types of causal graphs A compelling argument that observational and experimental methods are not qualitatively superior to simulation-based methods in their ability to establish causal claims Practical discussions of how statistical, experimental and computational methods can be combined to produce reliable causal inferences Perfect for academic social scientists and scholars in the fields of computational social science, philosophy, statistics, experimental design, and ecology, Agent-based Models and Causal Inference will also earn a place in the libraries of PhD students seeking a one-stop reference on the issue of causal inference in agent-based computational models.
Causality In Policy Studies
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Author : Alessia Damonte
language : en
Publisher: Springer Nature
Release Date : 2023-02-13
Causality In Policy Studies written by Alessia Damonte and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-13 with Political Science categories.
This volume provides a methodological toolbox for conducting policy research. Recognizing that policy research spans various academic disciplines, each of which takes a different view on causality, the volume introduces a methodologically pluralistic approach to policy studies. Each chapter clarifies the research question that each technique can answer, the research design and data treatment that each technique requires for its results to be sound, the validity domain of its results, and the actual deployment of the technique through a replicable example. Techniques covered include quasi-experimental designs, approaches to account for selection bias and observed imbalances, directed acyclic graphs and structural equation models, Qualitative Comparative Analysis, Bayesian case study and process tracing, and Agent-Based Modelling. By working through the volume, readers will understand how to learn from different techniques, apply them consciously, and triangulate them to make better sense of findings. This volume is intended for advanced academic courses, as well as scholars and practitioners in policy-related fields, such as political science, economics, sociology, and public administration. This is an open access book.
The Routledge Handbook Of Causality And Causal Methods
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Author : Phyllis Illari
language : en
Publisher: Taylor & Francis
Release Date : 2024-12-30
The Routledge Handbook Of Causality And Causal Methods written by Phyllis Illari and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Philosophy categories.
The Routledge Handbook of Causality and Causal Methods adopts a pluralistic, interdisciplinary approach to causality. It formulates distinct questions and problems of causality as they arise across scientific and policy fields. Exploring, in a comparative way, how these questions and problems are addressed in different areas, the Handbook fosters dialogue and exchange. It emphasizes the role of the researchers and the normative considerations that arise in the development of methodological and empirical approaches. The Handbook includes authors from all over the world and with many different disciplinary backgrounds, and its 50 chapters appear in print here for the first time. The chapters are organized into the following seven parts: Causal Pluralism from Theory to Practice Causal Theory and the Role of Researchers Features of Causal Systems Causal Methods, Experimentation and Observation Measurement and Data Causality, Knowledge, and Action Causal Theory across Disciplinary Borders Essential reading for scholars interested in an interdisciplinary approach to causality and causal methods, the volume is also a valuable resource for advanced undergraduates as well as for graduate students interested in delving into the rich field of causality. Chapters 15 and 36 of this book are freely available as downloadable Open Access PDFs at http://www.taylorfrancis.com under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.
Research Handbook On Analytical Sociology
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Author : Manzo, Gianluca
language : en
Publisher: Edward Elgar Publishing
Release Date : 2021-12-14
Research Handbook On Analytical Sociology written by Manzo, Gianluca and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-14 with Social Science categories.
Providing an up-to-date portrait of the concepts and methods of analytical sociology, this pivotal Research Handbook traces the historical evolution of the field, utilising key research examples to illustrate its core principles. It investigates how analytical sociology engages with other approaches such as analytical philosophy, structural individualism, social stratification research, complexity science, pragmatism, and critical realism, exploring the foundations of the topic as well as its major explanatory mechanisms and methods.
Research Handbook On Digital Sociology
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Author : Jan Skopek
language : en
Publisher: Edward Elgar Publishing
Release Date : 2023-03-02
Research Handbook On Digital Sociology written by Jan Skopek and has been published by Edward Elgar Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-02 with Social Science categories.
Exploring the social implications of digital transformation, as well as demonstrating how we might use digital transformation to further sociological knowledge, this incisive Handbook provides an extensive overview of cutting-edge research on the digital turn of modern society. This title contains one or more Open Access chapters.
Agent Based Models In Economics
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Author : Domenico Delli Gatti
language : en
Publisher: Cambridge University Press
Release Date : 2018-03-22
Agent Based Models In Economics written by Domenico Delli Gatti and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-22 with Business & Economics categories.
The first step-by-step introduction to the methodology of agent-based models in economics, their mathematical and statistical analysis, and real-world applications.
Computational Modeling Of Infectious Disease
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Author : Chris von Csefalvay
language : en
Publisher: Elsevier
Release Date : 2023-02-14
Computational Modeling Of Infectious Disease written by Chris von Csefalvay and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-14 with Science categories.
Computational Modeling of Infectious Disease: With Applications in Python provides an illustrated compendium of tools and tactics for analyzing infectious diseases using cutting-edge computational methods. From simple S(E)IR models, and through time series analysis and geospatial models, this book is both a guided tour through the computational analysis of infectious diseases and a quick-reference manual. Chapters are accompanied by extensive practical examples in Python, illustrating applications from start to finish. This book is designed for researchers and practicing infectious disease forecasters, modelers, data scientists, and those who wish to learn more about analysis of infectious disease processes in the real world. - Connects computational infectious disease analysis to state-of-the-art data science - Conveys ideas on epidemiology and infectious disease modeling in a clear, accessible way - Provides code examples to elucidate best practices
Systems Science And Population Health
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Author : Abdulrahman M. El-Sayed
language : en
Publisher: Oxford University Press
Release Date : 2017
Systems Science And Population Health written by Abdulrahman M. El-Sayed and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Medical categories.
Reductionism at the dawn of population health / Kristin Heitman -- Wrong answers : when simple interpretations create complex problems / David S. Fink, Katherine M. Keyes -- Complexity : the evolution towards 21st century science / Anton Palma, David W. Lounsbury -- Systems thinking in population health research and policy / Stephen Mooney -- Generation of systems maps: mapping complex systems of population health / Helen de Pinho -- Systems dynamics model / Eric Lofgren -- Agent-based modeling / Brandon Marshall -- Microsimulation / Sanjay Basu -- Social network analysis : the ubiquity of social networks and their importance for population health / Douglas A. Luke, Amar Dhand, Bobbi J. Carothers -- Machine learning / James H. Faghmous -- Systems science and the social determinants of population health / David S. Fink, Katherine M. Keyes, Magdalena Cerdá -- Systems approaches to understanding how the environment influences population health and population health interventions / Melissa Tracy -- Systems of behavior and population health / Mark Orr, Kathryn Ziemer, Daniel Chen -- Systems under your skin / Karina Standahl Olsen, Hege Bøvelstad, Eiliv Lund -- Frontiers in health modeling / Nathaniel Osgood -- Systems science and population health / Abdulrahman M. El-Sayed, Sandro Galea
Advances In Social Simulation
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Author : Flaminio Squazzoni
language : en
Publisher: Springer Nature
Release Date : 2023-09-29
Advances In Social Simulation written by Flaminio Squazzoni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-29 with Science categories.
This book highlights recent developments in the field of computer simulation and its application to social dynamics and behaviour. It covers latest advancements in the use of agent-based modelling by focusing on thematic issues, methodological progress and applications, including policy, industry and business. It aims to promote this interdisciplinary type of research by showing synergies, complementary and integration especially between computer sciences, social sciences, economics and organization, often bridging qualitative and quantitative research. The primary audience of this book are academics, practitioners and professionals using computer simulation for business counselling or industry.
Multi Agent Based Simulation Xxii
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Author : Koen H. Van Dam
language : en
Publisher: Springer Nature
Release Date : 2022-01-15
Multi Agent Based Simulation Xxii written by Koen H. Van Dam and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-15 with Computers categories.
This book constitutes the thoroughly refereed post-conference proceedings of the 21st International Workshop on Multi-Agent-Based Simulation, MABS 2021, held in May 2021 as part of AAMAS 2021. The conference was held virtually due to COVID 19 pandemic. The 14 revised full papers included in this volume were carefully selected from 23 submissions. The workshop focused on finding efficient solutions to model complex social systems, in such areas as economics, management, organizational and social sciences in general. In all these areas, agent theories, metaphors, models, analysis, experimental designs, empirical studies, and methodological principles, all converge into simulation as a way of achieving explanations and predictions, exploration and testing of hypotheses, better designs and systems and providing decision-support in a wide range of applications.