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Methodological Investigations In Agent Based Modelling

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Methodological Investigations In Agent Based Modelling

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Author : Eric Silverman
language : en
Publisher: Springer
Release Date : 2018-02-20

Methodological Investigations In Agent Based Modelling written by Eric Silverman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-20 with Social Science categories.

This open access book examines the methodological complications of using complexity science concepts within the social science domain. The opening chapters take the reader on a tour through the development of simulation methodologies in the fields of artificial life and population biology, then demonstrates the growing popularity and relevance of these methods in the social sciences. Following an in-depth analysis of the potential impact of these methods on social science and social theory, the text provides substantive examples of the application of agent-based models in the field of demography. This work offers a unique combination of applied simulation work and substantive, in-depth philosophical analysis, and as such has potential appeal for specialist social scientists, complex systems scientists, and philosophers of science interested in the methodology of simulation and the practice of interdisciplinary computing research.

Methodological Investigations In Agent Based Modelling

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Author : Eric Silverman
language : en
Publisher:
Release Date : 2018

Methodological Investigations In Agent Based Modelling written by Eric Silverman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computer simulation categories.

Methodological Investigations In Agent Based Modelling

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Author : Eric Silverman
language : en
Publisher:
Release Date : 2020-10-08

A Z Of Digital Research Methods

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Author : Catherine Dawson
language : en
Publisher: Routledge
Release Date : 2019-07-10

A Z Of Digital Research Methods written by Catherine Dawson and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-10 with Science categories.

This accessible, alphabetical guide provides concise insights into a variety of digital research methods, incorporating introductory knowledge with practical application and further research implications. A-Z of Digital Research Methods provides a pathway through the often-confusing digital research landscape, while also addressing theoretical, ethical and legal issues that may accompany each methodology. Dawson outlines 60 chapters on a wide range of qualitative and quantitative digital research methods, including textual, numerical, geographical and audio-visual methods. This book includes reflection questions, useful resources and key texts to encourage readers to fully engage with the methods and build a competent understanding of the benefits, disadvantages and appropriate usages of each method. A-Z of Digital Research Methods is the perfect introduction for any student or researcher interested in digital research methods for social and computer sciences.

Towards Bayesian Model Based Demography

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Author : Jakub Bijak
language : en
Publisher: Springer Nature
Release Date : 2021-12-09

Towards Bayesian Model Based Demography written by Jakub Bijak and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-09 with Social Science categories.

This open access book presents a ground-breaking approach to developing micro-foundations for demography and migration studies. It offers a unique and novel methodology for creating empirically grounded agent-based models of international migration – one of the most uncertain population processes and a top-priority policy area. The book discusses in detail the process of building a simulation model of migration, based on a population of intelligent, cognitive agents, their networks and institutions, all interacting with one another. The proposed model-based approach integrates behavioural and social theory with formal modelling, by embedding the interdisciplinary modelling process within a wider inductive framework based on the Bayesian statistical reasoning. Principles of uncertainty quantification are used to devise innovative computer-based simulations, and to learn about modelling the simulated individuals and the way they make decisions. The identified knowledge gaps are subsequently filled with information from dedicated laboratory experiments on cognitive aspects of human decision-making under uncertainty. In this way, the models are built iteratively, from the bottom up, filling an important epistemological gap in migration studies, and social sciences more broadly.

The Routledge Handbook Of The Philosophy Of Economics

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Author : Conrad Heilmann
language : en
Publisher: Routledge
Release Date : 2021-11-29

The Routledge Handbook Of The Philosophy Of Economics written by Conrad Heilmann and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-29 with Philosophy categories.

The most fundamental questions of economics are often philosophical in nature, and philosophers have, since the very beginning of Western philosophy, asked many questions that current observers would identify as economic. The Routledge Handbook of Philosophy of Economics is an outstanding reference source for the key topics, problems, and debates at the intersection of philosophical and economic inquiry. It captures this field of countless exciting interconnections, affinities, and opportunities for cross-fertilization. Comprising 35 chapters by a diverse team of contributors from all over the globe, the Handbook is divided into eight sections: I. Rationality II. Cooperation and Interaction III. Methodology IV. Values V. Causality and Explanation VI. Experimentation and Simulation VII. Evidence VIII. Policy The volume is essential reading for students and researchers in economics and philosophy who are interested in exploring the interconnections between the two disciplines. It is also a valuable resource for those in related fields like political science, sociology, and the humanities.

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.

Agribusiness Innovation And Contextual Evolution Volume Ii

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Author : Antonino Galati
language : en
Publisher: Springer Nature
Release Date : 2024-05-15

Agribusiness Innovation And Contextual Evolution Volume Ii written by Antonino Galati and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Business & Economics categories.

Agriculture is the oldest and most traditional of economic sectors, and its business has seen major leaps in innovation over the past century. Contemporary agribusiness is being influenced and reshaped by technological developments, geopolitical developments, and globalisation, as well as transport and logistics innovations, changes in consumer behaviour. Reflecting on these changes and providing a deep dive into this sector, this two-volume work defines, refines, analyses, and prescribes the evolution of agribusiness in the present and future. Taken together, the books offer a comprehensive conceptualisation of the multifactorial macro, micro and organisational elements of agribusiness, including strategic, managerial, marketing, technological and geo-socio-political forces. Volume II focuses on the wider, macro-environmental forces acting upon agribusinesses, exploring the contextual evolutions that impact the sector, and the means, practices and avenues for its development.It includes topics such as digital technologies adoption, supply chain sustainability, big data analytics, women’s agricultural entrepreneurship, and simulation model decision making.

Cambridge Handbook Of Routine Dynamics

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Author : Martha S. Feldman
language : en
Publisher:
Release Date : 2021-12-16

Cambridge Handbook Of Routine Dynamics written by Martha S. Feldman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-16 with Business & Economics categories.

A comprehensive introduction and overview of research in Routine Dynamics written by the central researchers in the field.

Complexity Science

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Author : Henrik Jeldtoft Jensen
language : en
Publisher: Cambridge University Press
Release Date : 2022-11-17

Complexity Science written by Henrik Jeldtoft Jensen 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 2022-11-17 with Computers categories.

This introductory textbook provides detailed coverage of the rapidly growing field of complexity science and accommodates readers from a wide variety of backgrounds, and with varying levels of mathematical skill. The book contains a broad range of end of chapter problems and extended projects, with solutions available to instructors online.

Methodological Investigations In Agent Based Modelling

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