Agent Based Modelling In Population Studies

Agent Based Modelling in Population Studies PDF
Author: André Grow
Publisher: Springer
ISBN: 9783319812427
Size: 72.67 MB
Format: PDF, Kindle
Category : Social Science
Languages : en
Pages : 513
View: 1096

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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 Modelling In Population Studies

Agent Based Modelling in Population Studies PDF
Author: André Grow
Publisher: Springer
ISBN: 3319322834
Size: 75.40 MB
Format: PDF, ePub, Mobi
Category : Social Science
Languages : en
Pages : 513
View: 3451

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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.

Methodological Investigations In Agent Based Modelling

Methodological Investigations in Agent Based Modelling PDF
Author: Eric Silverman
Publisher: Springer
ISBN: 3319724088
Size: 19.88 MB
Format: PDF, Docs
Category : Social Science
Languages : en
Pages : 235
View: 444

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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

Methodological Investigations in Agent Based Modelling PDF
Author: Eric Silverman
Publisher: Springer
ISBN: 9783319724065
Size: 12.76 MB
Format: PDF, ePub
Category : Social Science
Languages : en
Pages : 235
View: 1246

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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.​

Mikrosimulationen

Mikrosimulationen PDF
Author: Marc Hannappel
Publisher: Springer-Verlag
ISBN: 3658237023
Size: 29.51 MB
Format: PDF, Mobi
Category : Social Science
Languages : de
Pages : 353
View: 6470

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Der Band bietet einen Überblick über die methodischen und methodologischen Grundlagen der Mikrosimulation sowie einen Einblick in deren konkrete Anwendung am Beispiel ausgewählter Forschungsarbeiten. In Mikrosimulationsmodellen können Wechselwirkungen zwischen sozialen Phänomenen modelliert und quantifiziert werden. Mikrosimulationen bieten daher ein großes Potential zur Analyse gesellschaftlicher Wandlungsprozesse und können damit als Ergänzung zu herkömmlichen statistischen Verfahren betrachtet werden. Das Buch richtet sich an Interessierte aus Forschung und Lehre und soll darüber hinaus Anreize für den Einsatz dieses Simulationsansatzes geben.

Simulieren Und Entscheiden

Simulieren und Entscheiden PDF
Author: Nicole J. Saam
Publisher: Springer-Verlag
ISBN: 3658260424
Size: 50.58 MB
Format: PDF, Docs
Category : Social Science
Languages : de
Pages : 256
View: 1953

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Simulationen geben zunehmend Orientierung für die Entscheidungsfindung in Politik, Ökonomie, Ökologie oder Medizin. Hierzu sind zunächst Modelle zu bilden, wobei die Modellierungsentscheidungen einen großen Effekt auf die Simulationsergebnisse haben. Dieses Zusammenhangs nimmt sich der vorliegende Band an und durchleuchtet Computersimulationen im Kontext von Entscheidungen aus Sicht der Soziologie, Simulationswissenschaft und Philosophie. Dabei stehen drei Fragen im Mittelpunkt: Wie werden Entscheidungen modelliert oder simuliert? Welche metatheoretischen und methodischen Entscheidungen müssen simulierende WissenschaftlerInnen im Zuge der Simulationsstudie treffen? Wie werden organisationale oder politische Entscheidungen durch Modellierungen und Simulationen unterstützt? Die Herausgeber*innenProf. Dr. Nicole J. Saam ist Inhaberin des Lehrstuhls für Methoden der empirischen Sozialforschung am Institut für Soziologie der Friedrich-Alexander Universität Erlangen-Nürnberg. Prof. Michael Resch ist Direktor am HPC Center Stuttgart (HLRS) der Universität Stuttgart. Dr. Andreas Kaminski ist als Leiter der Abteilung “Philosophie der Simulation“ am HPC Center Stuttgart (HLRS) der Universität Stuttgart tätig.

Neustart Im Kopf

Neustart im Kopf PDF
Author: Norman Doidge
Publisher: Campus Verlag
ISBN: 3593422611
Size: 35.69 MB
Format: PDF, ePub, Docs
Category : Science
Languages : de
Pages : 382
View: 5178

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Unser Gehirn ist nicht – wie lange angenommen – eine unveränderliche Hardware. Es kann sich vielmehr auf verblüffende Weise umgestalten und sogar selbst reparieren. Norman Doidge verbindet faszinierende Einblicke in die neueste Forschung mit aufsehenerregenden Beispielen aus der Praxis: etwa eine Frau, deren eine Hirnhälfte die Funktionen eines ganzen Gehirns übernahm. Oder der Mann, dessen Gehirn nach einem Schlaganfall die Hirnströme in gesunde Hirnregionen »umleitet« und seinem gelähmten Arm die Bewegungsfähigkeit zurückgibt. All dies ermöglicht unser Gehirn, das stärker und anpassungsfähiger ist, als wir je dachten.

Analytical Family Demography

Analytical Family Demography PDF
Author: Robert Schoen
Publisher: Springer
ISBN: 3319932276
Size: 73.65 MB
Format: PDF
Category : Social Science
Languages : en
Pages : 337
View: 4783

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In this book new mathematical and statistical techniques that permit more sophisticated analysis are refined and applied to questions of current concern in order to understand the forces that are driving the recent dramatic changes in family patterns. The areas examined include the impact of the evolving Second Demographic Transition, where complex patterns of gender dynamics and social change are re-orienting family life. New analyses of marriage, cohabitation, union dynamics, and union dissolution provide a fresh look at the changing family life cycle, emerging patterns of partner choice, and the impact of union dissolution on the life course. The demography of kinship is explored, and the importance of parity progression to the generation of the kinship web is highlighted. The methodology of population projections by family status is examined, and new results presented that demonstrate how recognizing family status advances long term policy objectives, especially with regard to children and the elderly. This book applies up-to-date methods to examine the demography of the family, and will be of value to sociologists, demographers, and all those who are interested in the family.

Agent Based Computational Modelling

Agent Based Computational Modelling PDF
Author: Francesco C. Billari
Publisher: Taylor & Francis
ISBN: 9783790816402
Size: 34.94 MB
Format: PDF, Docs
Category : Business & Economics
Languages : en
Pages : 226
View: 3924

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The present book describes the methodology to set up agent-based models and to study emerging patterns in complex adaptive systems resulting from multi-agent interaction. It offers the application of agent-based models in demography, social and economic sciences and environmental sciences. Examples include population dynamics, evolution of social norms, communication structures, patterns in eco-systems and socio-biology, natural resource management, spread of diseases and development processes. It presents and combines different approaches how to implement agent-based computational models and tools in an integrative manner that can be extended to other cases.

Dynamics In Human And Primate Societies

Dynamics in Human and Primate Societies PDF
Author: Timothy A. Kohler
Publisher: Oxford University Press
ISBN: 0195351193
Size: 15.55 MB
Format: PDF, Kindle
Category : Social Science
Languages : en
Pages : 416
View: 3169

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As part of the SFI series, this book presents the most up-to-date research in the study of human and primate societies, presenting recent advances in software and algorithms for modeling societies. It also addresses case studies that have applied agent-based modeling approaches in archaeology, cultural anthropology, primatology, and sociology. Many things set this book apart from any other on modeling in the social sciences, including the emphasis on small-scale societies and the attempts to maximize realism in the modeling efforts applied to social problems and questions. It is an ideal book for professionals in archaeology or cultural anthropology as well as a valuable tool for those studying primatology or computer science.

Agent Based Computational Demography

Agent Based Computational Demography PDF
Author: Francesco C. Billari
Publisher: Springer Science & Business Media
ISBN: 3790827150
Size: 39.55 MB
Format: PDF, Docs
Category : Social Science
Languages : en
Pages : 210
View: 2720

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Agent-Based Computational Demography (ABCD) aims at starting a new stream of research among social scientists whose interests lie in understanding demographic behaviour. The book takes a micro-demographic (agent-based) perspective and illustrates the potentialities of computer simulation as an aid in theory building. The chapters of the book, written by leading experts either in demography or in agent-based modelling, address several key questions. Why do we need agent-based computational demography? How can ABCD be applied to the study of migrations, family demography, and historical demography? What are the peculiarities of agent-based models as applied to the demography of human populations? ABCD is of interest to all scientists interested in studying demographic behaviour, as well as to computer scientists and modellers who are looking for a promising field of application.

Model Based Demography

Model Based Demography PDF
Author: Thomas K. Burch
Publisher: Springer
ISBN: 3319654330
Size: 73.25 MB
Format: PDF
Category : Social Science
Languages : en
Pages : 200
View: 5920

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Late in a career of more than sixty years, Thomas Burch, an internationally known social demographer, undertook a wide-ranging methodological critique of demography. This open access volume contains a selection of resulting papers, some previously unpublished, some published but not readily accessible [from past meetings of The International Union for the Scientific Study of Population and its research committees, or from other small conferences and seminars]. Rejecting the idea that demography is simply a branch of applied statistics, his work views it as an autonomous and complete scientific discipline. When viewed from the perspective of modern philosophy of science, specifically the semantic or model-based school, demography is a balanced discipline, with a rich body of techniques and data, but also with more and better theories than generally recognized. As demonstrated in this book, some demographic techniques can also be seen as theoretical models, and some substantive/behavioral models, commonly rejected as theory because of inconsistent observations, are now seen as valuable theoretical models, for example demographic transition theory. This book shows how demography can build a strong theoretical edifice on its broad and deep empirical foundation by adoption of the model-based approach to science. But the full-fruits of this approach will require demographers to make greater use of computer modeling [both macro- and micro-simulation], in the statement and manipulation of theoretical ideas, as well as for numerical computation. This book is open access under a CC BY license.

Advances In Social Simulation

Advances in Social Simulation PDF
Author: Petra Ahrweiler
Publisher: Springer Nature
ISBN: 3030615030
Size: 21.12 MB
Format: PDF, ePub, Docs
Category : Computational intelligence
Languages : en
Pages : 603
View: 7148

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This book presents the state of the art in social simulation as presented at the Social Simulation Conference 2019 in Mainz, Germany. It covers the developments in applications and methods of social simulation, addressing societal issues such as socio-ecological systems and policymaking. Methodological issues discussed include large-scale empirical calibration, model sharing and interdisciplinary research, as well as decision-making models, validation and the use of qualitative data in simulation modeling. Research areas covered include archaeology, cognitive science, economics, organization science and social simulation education. This book gives readers insight into the increasing use of social simulation in both its theoretical development and in practical applications such as policymaking whereby modeling and the behavior of complex systems is key. The book appeals to students, researchers and professionals in the various fields. .

Computational Science Iccs 2019

Computational Science     ICCS 2019 PDF
Author: João M. F. Rodrigues
Publisher: Springer
ISBN: 3030227502
Size: 41.78 MB
Format: PDF, ePub
Category : Computers
Languages : en
Pages : 812
View: 5517

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The five-volume set LNCS 11536, 11537, 11538, 11539, and 11540 constitutes the proceedings of the 19th International Conference on Computational Science, ICCS 2019, held in Faro, Portugal, in June 2019. The total of 65 full papers and 168 workshop papers presented in this book set were carefully reviewed and selected from 573 submissions (228 submissions to the main track and 345 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track; Track of Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Track of Agent-Based Simulations, Adaptive Algorithms and Solvers; Track of Applications of Matrix Methods in Artificial Intelligence and Machine Learning; Track of Architecture, Languages, Compilation and Hardware Support for Emerging and Heterogeneous Systems Part III: Track of Biomedical and Bioinformatics Challenges for Computer Science; Track of Classifier Learning from Difficult Data; Track of Computational Finance and Business Intelligence; Track of Computational Optimization, Modelling and Simulation; Track of Computational Science in IoT and Smart Systems Part IV: Track of Data-Driven Computational Sciences; Track of Machine Learning and Data Assimilation for Dynamical Systems; Track of Marine Computing in the Interconnected World for the Benefit of the Society; Track of Multiscale Modelling and Simulation; Track of Simulations of Flow and Transport: Modeling, Algorithms and Computation Part V: Track of Smart Systems: Computer Vision, Sensor Networks and Machine Learning; Track of Solving Problems with Uncertainties; Track of Teaching Computational Science; Poster Track ICCS 2019 Chapter “Comparing Domain-decomposition Methods for the Parallelization of Distributed Land Surface Models” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Agent Based Computational Economics

Agent Based Computational Economics PDF
Author: Shu-Heng Chen
Publisher: Routledge
ISBN: 1317560922
Size: 29.62 MB
Format: PDF, Mobi
Category : Business & Economics
Languages : en
Pages : 508
View: 1559

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This book aims to answer two questions that are fundamental to the study of agent-based economic models: what is agent-based computational economics and why do we need agent-based economic modelling of economy? This book provides a review of the development of agent-based computational economics (ACE) from a perspective on how artificial economic agents are designed under the influences of complex sciences, experimental economics, artificial intelligence, evolutionary biology, psychology, anthropology and neuroscience. This book begins with a historical review of ACE by tracing its origins. From a modelling viewpoint, ACE brings truly decentralized procedures into market analysis, from a single market to the whole economy. This book also reviews how experimental economics and artificial intelligence have shaped the development of ACE. For the former, the book discusses how ACE models can be used to analyse the economic consequences of cognitive capacity, personality and cultural inheritance. For the latter, the book covers the various tools used to construct artificial adaptive agents, including reinforcement learning, fuzzy decision rules, neural networks, and evolutionary computation. This book will be of interest to graduate students researching computational economics, experimental economics, behavioural economics, and research methodology.