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Agent-Based Modelling in Population Studies

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Release : 2016-08-11
Genre : Social Science
Kind : eBook
Book Rating : 834/5 ( reviews)

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Book Synopsis Agent-Based Modelling in Population Studies by : André Grow

Download or read book Agent-Based Modelling in Population Studies written by André Grow. This book was released on 2016-08-11. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download Agent-Based Modelling in Population Studies PDF Online Free

Author :
Release : 2016
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Agent-Based Modelling in Population Studies by :

Download or read book Agent-Based Modelling in Population Studies written by . This book was released on 2016. Available in PDF, EPUB and Kindle. Book excerpt:

Agent-Based Modeling for Archaeology

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Release : 2021-08-02
Genre : Social Science
Kind : eBook
Book Rating : 386/5 ( reviews)

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Book Synopsis Agent-Based Modeling for Archaeology by : Iza Romanowska

Download or read book Agent-Based Modeling for Archaeology written by Iza Romanowska. This book was released on 2021-08-02. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Towards Bayesian Model-Based Demography

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Release : 2021-12-09
Genre : Social Science
Kind : eBook
Book Rating : 39X/5 ( reviews)

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Book Synopsis Towards Bayesian Model-Based Demography by : Jakub Bijak

Download or read book Towards Bayesian Model-Based Demography written by Jakub Bijak. This book was released on 2021-12-09. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spatial Microsimulation with R

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Release : 2017-09-07
Genre : Computers
Kind : eBook
Book Rating : 16X/5 ( reviews)

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Book Synopsis Spatial Microsimulation with R by : Robin Lovelace

Download or read book Spatial Microsimulation with R written by Robin Lovelace. This book was released on 2017-09-07. Available in PDF, EPUB and Kindle. Book excerpt: Generate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language. Get Insight into Complex Behaviors The book progresses from the principles underlying population synthesis toward more complex issues such as household allocation and using the results of spatial microsimulation for agent-based modeling. This equips you with the skills needed to apply the techniques to real-world situations. The book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets using the recent R packages ipfp and mipfp. This approach represents the "best of both worlds" in terms of spatial resolution and person-level detail, overcoming issues of data confidentiality and reproducibility. Implement the Methods on Your Own Data Full of reproducible examples using code and data, the book is suitable for students and applied researchers in health, economics, transport, geography, and other fields that require individual-level data allocated to small geographic zones. By explaining how to use tools for modeling phenomena that vary over space, the book enhances your knowledge of complex systems and empowers you to provide evidence-based policy guidance.

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