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Author: Bennett Dyke Publisher: Academic Press ISBN: 1483264556 Category : Social Science Languages : en Pages : 541
Book Description
Computer Simulation in Human Population Studies contains the proceedings of a conference held at Pennsylvania State University on June 12-14, 1972, under the sponsorship of the Social Science Research Council. The conference provided a forum for discussing the application of computer simulation techniques to human population studies and organized topics around four themes: anthropology and social systems; genetics and adaptive systems; demography; and simulation methodology. Comprised of 23 chapters, this volume begins with an analysis of two tests of computer microsimulation: the effect of an incest taboo on population viability, and the effect of age differences between spouses on the skewing of their consanguineal relationships. The reader is then introduced to computer simulation of incest prohibition and clan proscription rules in closed, finite population; an empirical perspective on simulation models of human population; and models applicable to geographic variation in humans. Subsequent chapters deal with the role of co-adapted sets in the process of adaptation; simulation of human reproduction; and the mathematics of population simulation models. This book will be of interest to anthropologists, geneticists, biologists, computer scientists, mathematicians, and social scientists.
Author: Bennett Dyke Publisher: Academic Press ISBN: 1483264556 Category : Social Science Languages : en Pages : 541
Book Description
Computer Simulation in Human Population Studies contains the proceedings of a conference held at Pennsylvania State University on June 12-14, 1972, under the sponsorship of the Social Science Research Council. The conference provided a forum for discussing the application of computer simulation techniques to human population studies and organized topics around four themes: anthropology and social systems; genetics and adaptive systems; demography; and simulation methodology. Comprised of 23 chapters, this volume begins with an analysis of two tests of computer microsimulation: the effect of an incest taboo on population viability, and the effect of age differences between spouses on the skewing of their consanguineal relationships. The reader is then introduced to computer simulation of incest prohibition and clan proscription rules in closed, finite population; an empirical perspective on simulation models of human population; and models applicable to geographic variation in humans. Subsequent chapters deal with the role of co-adapted sets in the process of adaptation; simulation of human reproduction; and the mathematics of population simulation models. This book will be of interest to anthropologists, geneticists, biologists, computer scientists, mathematicians, and social scientists.
Author: Francesco C. Billari Publisher: Springer Science & Business Media ISBN: 3790827150 Category : Social Science Languages : en Pages : 215
Book Description
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.
Author: André Grow Publisher: Springer ISBN: 3319322834 Category : Social Science Languages : en Pages : 511
Book Description
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.
Author: Bo Peng Publisher: John Wiley & Sons ISBN: 1118180348 Category : Science Languages : en Pages : 258
Book Description
The only book available in the area of forward-time population genetics simulations—applicable to both biomedical and evolutionary studies The rapid increase of the power of personal computers has led to the use of serious forward-time simulation programs in genetic studies. Forward-Time Population Genetics Simulations presents both new and commonly used methods, and introduces simuPOP, a powerful and flexible new program that can be used to simulate arbitrary evolutionary processes with unique features like customized chromosome types, arbitrary nonrandom mating schemes, virtual subpopulations, information fields, and Python operators. The book begins with an overview of important concepts and models, then goes on to show how simuPOP can simulate a number of standard population genetics models—with the goal of demonstrating the impact of genetic factors such as mutation, selection, and recombination on standard Wright-Fisher models. The rest of the book is devoted to applications of forward-time simulations in various research topics. Forward-Time Population Genetics Simulations includes: An overview of currently available forward-time simulation methods, their advantages, and shortcomings An overview and evaluation of currently available software A simuPOP tutorial Applications in population genetics Applications in genetic epidemiology, statistical genetics, and mapping complex human diseases The only book of its kind in the field today, Forward-Time Population Genetics Simulations will appeal to researchers and students of population and statistical genetics.
Author: Jakub Bijak Publisher: Springer Nature ISBN: 303083039X Category : Social Science Languages : en Pages : 277
Book Description
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.
Author: Marcia Lynn Whicker Publisher: SAGE Publications, Incorporated ISBN: Category : Computers Languages : en Pages : 168
Book Description
"The book provides a clear exposition of much that is relevant to simulation. . . . The authors then focus on the elements of computer simulation, namely, the assumptions upon which simulation is built: parameters, inputs or independent variables, algorithms or process decision rules, and outputs or dependent variables. Each of these facets, and the extent to which they need to be fully appreciated if simulation is to prove successful, is treated with care and clarity. . . Chapter 2 . . . is particularly well written and is exactly the type of treatment that should be included in a any graduate course on applied social research methods. . . Overall this is a book which many among the community of systems practitioners will find worthwhile reading." --Systems Practice "It is a readable book and--as intended--is easily accessible for the novice. The purpose and process of simulation modelling are described in brief, but clear, terms and are illustrated by the three well-chosen examples." --Telephone Surveys "This book is a good place to begin one's education in the potential for using computer simulations in theory building and policy analysis. As with any good book, it will whet your appetite and raise almost as many questions as it answers." --Social Science Computer Review Computer simulation represents one of the fastest growing areas for conducting research in the social sciences. Now, in Computer Simulation Applications, Marcia Lynn Whicker and Lee Sigelman show you how simulations can be used to analyze social systems for the purposes of theory building and policy analysis. They discuss the strengths and weaknesses of computer simulations as a research method and outline the various steps involved in designing a simulation model. In addition, they provide practical suggestions on how to use a simulation model to test hypotheses, how to evaluate and validate a model, and the relative advantages of general purpose programming languages versus specialized sensitivity testing. If you're currently conducting or considering computer simulations in your research, then this volume is a must for your professional toolkit.
Author: G. Santow Publisher: Springer Science & Business Media ISBN: 1461340896 Category : Business & Economics Languages : en Pages : 223
Book Description
This book is an amended and somewhat shorter version of my doctoral thesis which I submitted to the Australian National University in 1976, and subsequently edited at the Netherlands Interuniversity Demographic Institute in 1977. The work falls naturally into two parts. The first is concerned with the construction and validation of a model, and the second with its application as an experimental tool. In the first part, comprising Chapters One to Four, an examination of historical and contemporary models of population growth led to the decision to study changes in fertility by means of a biological micro simulation model. The reasons supporting the choice of such a model were discussed, and a search of the literature produced the data to be used as model input. The effects of varying the input were examined and then the model output was tested against Hutterite data. The main emphasis of the second part of the work, comprising Chapters Five to Seven, was the testing of the effect on the fertility of one society of variations in the duration of the post partum period of non-susceptibility to conception, and in the level of infant and child mortality. Further simulations were performed to discover the impact on fertility of the use of contraception to attain different family sizes, both with and without the additional effect of infant and child mortality.
Author: Bennett Dyke
Author: Bennett Dyke
Author: 
Author: 
Author: Francesco C. Billari
Author: André Grow
Author: Bo Peng
Author: Jakub Bijak
Author: Marcia Lynn Whicker
Author: 
Author: G. Santow