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Science By Simulation


Science By Simulation
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The Science And Art Of Simulation I


The Science And Art Of Simulation I
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Author : Michael M. Resch
language : en
Publisher: Springer
Release Date : 2017-04-07

The Science And Art Of Simulation I written by Michael M. Resch and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-07 with Computers categories.


The new book series “The Science and Art of Simulation” (SAS) addresses computer simulations as a scientific activity and engineering artistry (in the sense of a technē). The first volume is devoted to three topics: 1. The Art of Exploring Computer Simulations Philosophy began devoting attention to computer simulations at a relatively early stage. Since then, the unquestioned point of view has been that computer simulation is a new scientific method; the philosophy of simulation is therefore part of the philosophy of science. The first section of this volume discusses this implicit, unchallenged assumption by addressing, from different perspectives, the question of how to explore (and how not to explore) research on computer simulations. Scientists discuss what is still lacking or considered problematic, while philosophers draft new directions for research, and both examine the art of exploring computer simulations. 2. The Art of Understanding Computer Simulations The results of computer simulations are integrated into both political and social decisions. It is implicitly assumed that the more detailed, and consequently more realistic, a computer simulation is, the more useful it will be in decision-making. However, this idea is by no means justified. Different types of computer simulations have to be differentiated, which in turn requires the specific skill of understanding computer simulation results. The articles in this section examine the capabilities and limits of simulation results in political and social contexts, exploring the art of understanding computer simulation results. 3. The Art of Knowing through Computer Simulations? The advent of computer simulation in today’s scientific practices challenges the order of science. What kind of knowledge is gained through computer simulations is the key question in this section. Computer simulations are often compared to experiments or to arguments, and the transformation of our traditional scientific notions might be more challenging than expected – these Ideas are put forward in the third section to conceptualize the art of knowing through computer simulations.



Science In The Age Of Computer Simulation


Science In The Age Of Computer Simulation
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Author : Eric Winsberg
language : en
Publisher: University of Chicago Press
Release Date : 2010-10-30

Science In The Age Of Computer Simulation written by Eric Winsberg and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-30 with Computers categories.


"Digital computer simulation helps study phenomena of great complexity, but how much do we know about the limits and possibilities of this new scientific practice? How do simulations compare to traditional experiments? And are they reliable? Scrutinizing these issues with a philosophical lens, Eric Winsberg explores the impact of simulation on such issues as the nature of scientific evidence, the role of values in science, the nature and role of fictions in science, and the relationship between simulation and experiment, theories and data, and theories at different levels of description"--Cover.



Modelling And Simulation In The Social Sciences From The Philosophy Of Science Point Of View


Modelling And Simulation In The Social Sciences From The Philosophy Of Science Point Of View
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Author : R. Hegselmann
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Modelling And Simulation In The Social Sciences From The Philosophy Of Science Point Of View written by R. Hegselmann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Social Science categories.


Model building in the social sciences can increasingly rely on well elaborated formal theories. At the same time inexpensive large computational capacities are now available. Both make computer-based model building and simulation possible in social science, whose central aim is in particular an understanding of social dynamics. Such social dynamics refer to public opinion formation, partner choice, strategy decisions in social dilemma situations and much more. In the context of such modelling approaches, novel problems in philosophy of science arise which must be analysed - the main aim of this book. Interest in social simulation has recently been growing rapidly world- wide, mainly as a result of the increasing availability of powerful personal computers. The field has also been greatly influenced by developments in cellular automata theory (from mathematics) and in distributed artificial intelligence which provided tools readily applicable to social simulation. This book presents a number of modelling and simulation approaches and their relations to problems in philosophy of science. It addresses sociologists and other social scientists interested in formal modelling, mathematical sociology, and computer simulation as well as computer scientists interested in social science applications, and philosophers of social science.



Modelling And Simulation In Science Technology And Engineering Mathematics


Modelling And Simulation In Science Technology And Engineering Mathematics
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Author : Surajit Chattopadhyay
language : en
Publisher: Springer
Release Date : 2018-10-24

Modelling And Simulation In Science Technology And Engineering Mathematics written by Surajit Chattopadhyay and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-24 with Computers categories.


This volume contains the peer-reviewed proceedings of the International Conference on Modelling and Simulation (MS-17), held in Kolkata, India, 4th-5th November 2017, organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE, France) in association with the Institution of Engineering Technology (IET, UK), Kolkata Network. The contributions contained here showcase some recent advances in modelling and simulation across various aspects of science and technology. This book brings together articles describing applications of modelling and simulation techniques in fields as diverse as physics, mathematics, electrical engineering, industrial electronics, control, automation, power systems, energy and robotics. It includes a special section on mechanical, fuzzy, optical and opto-electronic control of oscillations. It provides a snapshot of the state of the art in modelling and simulation methods and their applications, and will be of interest to researchers and engineering professionals from industry, academia and research organizations.



Preparing 21st Century Teachers For Teach Less Learn More Tllm Pedagogies


Preparing 21st Century Teachers For Teach Less Learn More Tllm Pedagogies
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Author : Kumar, Pradeep
language : en
Publisher: IGI Global
Release Date : 2019-12-27

Preparing 21st Century Teachers For Teach Less Learn More Tllm Pedagogies written by Kumar, Pradeep and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-27 with Education categories.


The current trend of learner centeredness in education has been challenging many of the current ways of working, especially in higher education institutions. This rapid change in educational institutions demands educators acquire new sets of skills via continuous reflective practices. Hence, educators in higher education institutions are actively involved in research-driven teaching and learning practices. This change of role from mere content delivery to learning facilitators could be better achieved through a strong research-driven community of practice. Preparing 21st Century Teachers for Teach Less, Learn More (TLLM) Pedagogies is a pivotal reference source that provides vital research on the application of practice-based learning techniques in higher education institutions. This publication establishes a platform for academics to share their best practices to promote teach less, learn more pedagogies and learn reciprocally from the community of practice. While highlighting topics such as interactive learning, experiential technology, and logical thinking skills, this book is ideally designed for teachers, instructional designers, higher education faculty, deans, researchers, professionals, universities, academicians, and students seeking current research on transformative learning and future teaching practices.



Introduction To Computational Science


Introduction To Computational Science
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Author : Angela B. Shiflet
language : en
Publisher: Princeton University Press
Release Date : 2014-03-30

Introduction To Computational Science written by Angela B. Shiflet and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-30 with Computers categories.


The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors



Science By Simulation


Science By Simulation
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Author : Andrew French
language : en
Publisher:
Release Date : 2022

Science By Simulation written by Andrew French and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with Simulation methods categories.


"A Mezze of Mathematical Methods is Volume 1 of Science by Simulation. It is a recipe book of mathematical models that can be enlivened by the transmutation of equations into computer code. In this volume, the examples chosen are an eclectic mix of systems and stories rooted in common experience, rather than those normally associated with constrained courses on Physics, Chemistry or Biology which are taught in isolation and susceptible to going out of date in a few years. Rather than a 'what' of Science, this book is aimed at the 'how', readily applied to projects by students and professionals. Written in a friendly style based upon the author's expertise in teaching and pedagogy, this mathematically rigorous book is designed for readers to follow arguments step-by-step with stand-alone chapters which can be read independently. This approach will provide a tangible and readily accessible context for the development of a wide range of interconnected mathematical ideas and computing methods that underpin the practice of Science"--



Would Be Worlds


Would Be Worlds
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Author : John Casti
language : en
Publisher:
Release Date : 1997

Would Be Worlds written by John Casti and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Computers categories.


Simulation of the complex forces shaping geopolitics. And we take a drive through TRANSIMS, a model of the city of Albuquerque, New Mexico, to discover the root causes of events like traffic jams and accidents. Along the way, Casti probes the answers to a host of profound questions these "would-be worlds" raise about the new science of simulation.



Understanding Molecular Simulation


Understanding Molecular Simulation
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Author : Daan Frenkel
language : en
Publisher: Elsevier
Release Date : 2001-10-19

Understanding Molecular Simulation written by Daan Frenkel and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-10-19 with Science categories.


Understanding Molecular Simulation: From Algorithms to Applications explains the physics behind the "recipes" of molecular simulation for materials science. Computer simulators are continuously confronted with questions concerning the choice of a particular technique for a given application. A wide variety of tools exist, so the choice of technique requires a good understanding of the basic principles. More importantly, such understanding may greatly improve the efficiency of a simulation program. The implementation of simulation methods is illustrated in pseudocodes and their practical use in the case studies used in the text. Since the first edition only five years ago, the simulation world has changed significantly -- current techniques have matured and new ones have appeared. This new edition deals with these new developments; in particular, there are sections on: - Transition path sampling and diffusive barrier crossing to simulaterare events - Dissipative particle dynamic as a course-grained simulation technique - Novel schemes to compute the long-ranged forces - Hamiltonian and non-Hamiltonian dynamics in the context constant-temperature and constant-pressure molecular dynamics simulations - Multiple-time step algorithms as an alternative for constraints - Defects in solids - The pruned-enriched Rosenbluth sampling, recoil-growth, and concerted rotations for complex molecules - Parallel tempering for glassy Hamiltonians Examples are included that highlight current applications and the codes of case studies are available on the World Wide Web. Several new examples have been added since the first edition to illustrate recent applications. Questions are included in this new edition. No prior knowledge of computer simulation is assumed.



Monte Carlo Simulation And Resampling Methods For Social Science


Monte Carlo Simulation And Resampling Methods For Social Science
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Author : Thomas M. Carsey
language : en
Publisher: SAGE Publications
Release Date : 2013-08-05

Monte Carlo Simulation And Resampling Methods For Social Science written by Thomas M. Carsey and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-05 with Social Science categories.


Taking the topics of a quantitative methodology course and illustrating them through Monte Carlo simulation, Monte Carlo Simulation and Resampling Methods for Social Science, by Thomas M. Carsey and Jeffrey J. Harden, examines abstract principles, such as bias, efficiency, and measures of uncertainty in an intuitive, visual way. Instead of thinking in the abstract about what would happen to a particular estimator "in repeated samples," the book uses simulation to actually create those repeated samples and summarize the results. The book includes basic examples appropriate for readers learning the material for the first time, as well as more advanced examples that a researcher might use to evaluate an estimator he or she was using in an actual research project. The book also covers a wide range of topics related to Monte Carlo simulation, such as resampling methods, simulations of substantive theory, simulation of quantities of interest (QI) from model results, and cross-validation. Complete R code from all examples is provided so readers can replicate every analysis presented using R.