Agent-Based Modelling in Population Studies

Agent-Based Modelling in Population Studies
Author :
Publisher : Springer
Total Pages : 511
Release :
ISBN-10 : 9783319322834
ISBN-13 : 3319322834
Rating : 4/5 (34 Downloads)

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

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 Modeling for Archaeology

Agent-Based Modeling for Archaeology
Author :
Publisher : SFI Press
Total Pages : 442
Release :
ISBN-10 : 9781947864382
ISBN-13 : 1947864386
Rating : 4/5 (82 Downloads)

Synopsis Agent-Based Modeling for Archaeology by : Iza Romanowska

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

Towards Bayesian Model-Based Demography
Author :
Publisher : Springer Nature
Total Pages : 277
Release :
ISBN-10 : 9783030830397
ISBN-13 : 303083039X
Rating : 4/5 (97 Downloads)

Synopsis Towards Bayesian Model-Based Demography by : Jakub Bijak

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.

Agent-Based Computational Modelling

Agent-Based Computational Modelling
Author :
Publisher : Taylor & Francis
Total Pages : 684
Release :
ISBN-10 : 379081640X
ISBN-13 : 9783790816402
Rating : 4/5 (0X Downloads)

Synopsis Agent-Based Computational Modelling by : Francesco C. Billari

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.

Assessing the Use of Agent-Based Models for Tobacco Regulation

Assessing the Use of Agent-Based Models for Tobacco Regulation
Author :
Publisher : National Academies Press
Total Pages : 269
Release :
ISBN-10 : 9780309317252
ISBN-13 : 0309317258
Rating : 4/5 (52 Downloads)

Synopsis Assessing the Use of Agent-Based Models for Tobacco Regulation by : Institute of Medicine

Tobacco consumption continues to be the leading cause of preventable disease and death in the United States. The Food and Drug Administration (FDA) regulates the manufacture, distribution, and marketing of tobacco products - specifically cigarettes, cigarette tobacco, roll-your-own tobacco, and smokeless tobacco - to protect public health and reduce tobacco use in the United States. Given the strong social component inherent to tobacco use onset, cessation, and relapse, and given the heterogeneity of those social interactions, agent-based models have the potential to be an essential tool in assessing the effects of policies to control tobacco. Assessing the Use of Agent-Based Models for Tobacco Regulation describes the complex tobacco environment; discusses the usefulness of agent-based models to inform tobacco policy and regulation; presents an evaluation framework for policy-relevant agent-based models; examines the role and type of data needed to develop agent-based models for tobacco regulation; provides an assessment of the agent-based model developed for FDA; and offers strategies for using agent-based models to inform decision making in the future.

Agent-Based Computational Demography

Agent-Based Computational Demography
Author :
Publisher : Springer Science & Business Media
Total Pages : 215
Release :
ISBN-10 : 9783790827156
ISBN-13 : 3790827150
Rating : 4/5 (56 Downloads)

Synopsis Agent-Based Computational Demography by : Francesco C. Billari

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.

Agent-Based Modelling and Geographical Information Systems

Agent-Based Modelling and Geographical Information Systems
Author :
Publisher : SAGE Publications Limited
Total Pages : 0
Release :
ISBN-10 : 1473958652
ISBN-13 : 9781473958654
Rating : 4/5 (52 Downloads)

Synopsis Agent-Based Modelling and Geographical Information Systems by : Andrew Crooks

This is the era of Big Data and computational social science. It is an era that requires tools which can do more than visualise data but also model the complex relation between data and human action, and interaction. Agent-Based Models (ABM) - computational models which simulate human action and interaction – do just that. This textbook explains how to design and build ABM and how to link the models to Geographical Information Systems. It guides you from the basics through to constructing more complex models which work with data and human behaviour in a spatial context. All of the fundamental concepts are explained and related to practical examples to facilitate learning (with models developed in NetLogo with all code examples available on the accompanying website). You will be able to use these models to develop your own applications and link, where appropriate, to Geographical Information Systems. All of the key ideas and methods are explained in detail: geographical modelling; an introduction to ABM; the fundamentals of Geographical Information Science; why ABM and GIS; using QGIS; designing and building an ABM; calibration and validation; modelling human behavior. An applied primer, that provides fundamental knowledge and practical skills, it will provide you with the skills to build and run your own models, and to begin your own research projects.

Agent-Based Computational Demography

Agent-Based Computational Demography
Author :
Publisher : Physica
Total Pages : 210
Release :
ISBN-10 : 3790827169
ISBN-13 : 9783790827163
Rating : 4/5 (69 Downloads)

Synopsis Agent-Based Computational Demography by : Francesco C. Billari

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.

Agent-Based Computational Demography

Agent-Based Computational Demography
Author :
Publisher : Springer Science & Business Media
Total Pages : 230
Release :
ISBN-10 : 3790815500
ISBN-13 : 9783790815504
Rating : 4/5 (00 Downloads)

Synopsis Agent-Based Computational Demography by : Francesco C. Billari

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.