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Models In Contemporary Sciences
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Book Synopsis Models in Contemporary Sciences by : Massimo Negrotti
Download or read book Models in Contemporary Sciences written by Massimo Negrotti and published by Peter Lang. This book was released on 2004 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: The papers presented in this book deal with methodological and application problems which arise when models are compared to theories, or when theories are to build models.
Book Synopsis Scientific Models in Philosophy of Science by : Daniela M. Bailer-Jones
Download or read book Scientific Models in Philosophy of Science written by Daniela M. Bailer-Jones and published by University of Pittsburgh Pre. This book was released on 2009-09-13 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientists have used models for hundreds of years as a means of describing phenomena and as a basis for further analogy. In Scientific Models in Philosophy of Science, Daniela Bailer-Jones assembles an original and comprehensive philosophical analysis of how models have been used and interpreted in both historical and contemporary contexts. Bailer-Jones delineates the many forms models can take (ranging from equations to animals; from physical objects to theoretical constructs), and how they are put to use. She examines early mechanical models employed by nineteenth-century physicists such as Kelvin and Maxwell, describes their roots in the mathematical principles of Newton and others, and compares them to contemporary mechanistic approaches. Bailer-Jones then views the use of analogy in the late nineteenth century as a means of understanding models and to link different branches of science. She reveals how analogies can also be models themselves, or can help to create them. The first half of the twentieth century saw little mention of models in the literature of logical empiricism. Focusing primarily on theory, logical empiricists believed that models were of temporary importance, flawed, and awaiting correction. The later contesting of logical empiricism, particularly the hypothetico-deductive account of theories, by philosophers such as Mary Hesse, sparked a renewed interest in the importance of models during the 1950s that continues to this day. Bailer-Jones analyzes subsequent propositions of: models as metaphors; Kuhn's concept of a paradigm; the Semantic View of theories; and the case study approaches of Cartwright and Morrison, among others. She then engages current debates on topics such as phenomena versus data, the distinctions between models and theories, the concepts of representation and realism, and the discerning of falsities in models.
Book Synopsis Contemporary Statistical Models for the Plant and Soil Sciences by : Oliver Schabenberger
Download or read book Contemporary Statistical Models for the Plant and Soil Sciences written by Oliver Schabenberger and published by CRC Press. This book was released on 2001-11-13 with total page 762 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite its many origins in agronomic problems, statistics today is often unrecognizable in this context. Numerous recent methodological approaches and advances originated in other subject-matter areas and agronomists frequently find it difficult to see their immediate relation to questions that their disciplines raise. On the other hand, statisticians often fail to recognize the riches of challenging data analytical problems contemporary plant and soil science provides. The first book to integrate modern statistics with crop, plant and soil science, Contemporary Statistical Models for the Plant and Soil Sciences bridges this gap. The breadth and depth of topics covered is unusual. Each of the main chapters could be a textbook in its own right on a particular class of data structures or models. The cogent presentation in one text allows research workers to apply modern statistical methods that otherwise are scattered across several specialized texts. The combination of theory and application orientation conveys ìwhyî a particular method works and ìhowî it is put in to practice. About the downloadable resources The accompanying downloadable resources are a key component of the book. For each of the main chapters additional sections of text are available that cover mathematical derivations, special topics, and supplementary applications. It supplies the data sets and SAS code for all applications and examples in the text, macros that the author developed, and SAS tutorials ranging from basic data manipulation to advanced programming techniques and publication quality graphics. Contemporary statistical models can not be appreciated to their full potential without a good understanding of theory. They also can not be applied to their full potential without the aid of statistical software. Contemporary Statistical Models for the Plant and Soil Science provides the essential mix of theory and applications of statistical methods pertinent to research in life sciences.
Book Synopsis Modeling Theory in Science Education by : Ibrahim A. Halloun
Download or read book Modeling Theory in Science Education written by Ibrahim A. Halloun and published by Springer Science & Business Media. This book was released on 2007-01-25 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is the culmination of over twenty years of work toward a pedagogical theory that promotes experiential learning of model-laden theory and inquiry in science. The book focuses as much on course content as on instruction and learning methodology, presenting practical aspects that have repeatedly demonstrated their value in fostering meaningful and equitable learning of physics and other science courses at the secondary school and college levels.
Book Synopsis Models of the Mind by : Grace Lindsay
Download or read book Models of the Mind written by Grace Lindsay and published by Bloomsbury Publishing. This book was released on 2021-03-04 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: The human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of researchers searched for a language that could be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it. In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when the abstract world of mathematical modelling collides with the messy details of biology. Each chapter of Models of the Mind focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain – the individual neuron – through to circuits of interacting neurons, whole brain areas and even the behaviours that brains command. In addition, Grace examines the history of the field, starting with experiments done on frog legs in the late eighteenth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. Throughout, she reveals the value of using the elegant language of mathematics to describe the machinery of neuroscience.
Book Synopsis How to Do Science with Models by : Axel Gelfert
Download or read book How to Do Science with Models written by Axel Gelfert and published by Springer. This book was released on 2015-12-21 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Taking scientific practice as its starting point, this book charts the complex territory of models used in science. It examines what scientific models are and what their function is. Reliance on models is pervasive in science, and scientists often need to construct models in order to explain or predict anything of interest at all. The diversity of kinds of models one finds in science – ranging from toy models and scale models to theoretical and mathematical models – has attracted attention not only from scientists, but also from philosophers, sociologists, and historians of science. This has given rise to a wide variety of case studies that look at the different uses to which models have been put in specific scientific contexts. By exploring current debates on the use and building of models via cutting-edge examples drawn from physics and biology, the book provides broad insight into the methodology of modelling in the natural sciences. It pairs specific arguments with introductory material relating to the ontology and the function of models, and provides some historical context to the debates as well as a sketch of general positions in the philosophy of scientific models in the process.
Book Synopsis Models and Modeling in the Sciences by : Stephen M. Downes
Download or read book Models and Modeling in the Sciences written by Stephen M. Downes and published by Routledge. This book was released on 2020-07-09 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biologists, climate scientists, and economists all rely on models to move their work forward. In this book, Stephen M. Downes explores the use of models in these and other fields to introduce readers to the various philosophical issues that arise in scientific modeling. Readers learn that paying attention to models plays a crucial role in appraising scientific work. This book first presents a wide range of models from a number of different scientific disciplines. After assembling some illustrative examples, Downes demonstrates how models shed light on many perennial issues in philosophy of science and in philosophy in general. Reviewing the range of views on how models represent their targets introduces readers to the key issues in debates on representation, not only in science but in the arts as well. Also, standard epistemological questions are cast in new and interesting ways when readers confront the question, "What makes for a good (or bad) model?" All examples from the sciences and positions in the philosophy of science are presented in an accessible manner. The book is suitable for undergraduates with minimal experience in philosophy and an introductory undergraduate experience in science. Key features: The book serves as a highly accessible philosophical introduction to models and modeling in the sciences, presenting all philosophical and scientific issues in a nontechnical manner. Students and other readers learn to practice philosophy of science by starting with clear examples taken directly from the sciences. While not comprehensive, this book introduces the reader to a wide range of views on key issues in the philosophy of science.
Book Synopsis Models and Applications of Chaos Theory in Modern Sciences by : Elhadj Zeraoulia
Download or read book Models and Applications of Chaos Theory in Modern Sciences written by Elhadj Zeraoulia and published by CRC Press. This book was released on 2011-09-07 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a select group of papers that provide a comprehensive view of the models and applications of chaos theory in medicine, biology, ecology, economy, electronics, mechanical, and the human sciences. Covering both the experimental and theoretical aspects of the subject, it examines a range of current topics of interest. It consid
Book Synopsis Science Communication by : Annette Leßmöllmann
Download or read book Science Communication written by Annette Leßmöllmann and published by Walter de Gruyter GmbH & Co KG. This book was released on 2019-12-16 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume gives a multi-perspective overview of scholarly and science communication, exploring its diverse functions, modalities, interactional structures, and dynamics in a rapidly changing world. In addition, it provides a guide to current research approaches and traditions on communication in many disciplines, including the humanities, technology, social and natural sciences, and on forms of communication with a wide range of audiences.
Book Synopsis Music, Science, Philosophy by : Jamie C. Kassler
Download or read book Music, Science, Philosophy written by Jamie C. Kassler and published by Taylor & Francis. This book was released on 2023-05-31 with total page 321 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book stresses the interrelatedness of knowledge by extricating models that cut across traditional disciplinary boundaries. For example, science can find models from the technology and semantic field of music, music can find its models from the technology and semantic field of science, and each domain may be guided by a philosophical or metaphysical principle - thus, the title of the book. But the book itself is structured as a mirror image of its title. Chapters 1-6 provide instances of the role of music in such domains as epistemology and logic, as well as in the early modern sciences of developmental biology, continuum mechanics, anatomy and physiological psychology, whereas Chapters 7-10 provide instances of what some other domains of knowledge have given back to the philosophy and theory of music.
Book Synopsis Models of Science Dynamics by : Andrea Scharnhorst
Download or read book Models of Science Dynamics written by Andrea Scharnhorst and published by Springer Science & Business Media. This book was released on 2012-01-24 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Models of Science Dynamics aims to capture the structure and evolution of science, the emerging arena in which scholars, science and the communication of science become themselves the basic objects of research. In order to capture the essence of phenomena as diverse as the structure of co-authorship networks or the evolution of citation diffusion patterns, such models can be represented by conceptual models based on historical and ethnographic observations, mathematical descriptions of measurable phenomena, or computational algorithms. Despite its evident importance, the mathematical modeling of science still lacks a unifying framework and a comprehensive study of the topic. This volume fills this gap, reviewing and describing major threads in the mathematical modeling of science dynamics for a wider academic and professional audience. The model classes presented cover stochastic and statistical models, system-dynamics approaches, agent-based simulations, population-dynamics models, and complex-network models. The book comprises an introduction and a foundational chapter that defines and operationalizes terminology used in the study of science, as well as a review chapter that discusses the history of mathematical approaches to modeling science from an algorithmic-historiography perspective. It concludes with a survey of remaining challenges for future science models and their relevance for science and science policy.
Book Synopsis Modelling Learners and Learning in Science Education by : Keith S. Taber
Download or read book Modelling Learners and Learning in Science Education written by Keith S. Taber and published by Springer Science & Business Media. This book was released on 2013-12-11 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book sets out the necessary processes and challenges involved in modeling student thinking, understanding and learning. The chapters look at the centrality of models for knowledge claims in science education and explore the modeling of mental processes, knowledge, cognitive development and conceptual learning. The conclusion outlines significant implications for science teachers and those researching in this field. This highly useful work provides models of scientific thinking from different field and analyses the processes by which we can arrive at claims about the minds of others. The author highlights the logical impossibility of ever knowing for sure what someone else knows, understands or thinks, and makes the case that researchers in science education need to be much more explicit about the extent to which research onto learners’ ideas in science is necessarily a process of developing models. Through this book we learn that research reports should acknowledge the role of modeling and avoid making claims that are much less tentative than is justified as this can lead to misleading and sometimes contrary findings in the literature. In everyday life we commonly take it for granted that finding out what another knows or thinks is a relatively trivial or straightforward process. We come to take the ‘mental register’ (the way we talk about the ‘contents’ of minds) for granted and so teachers and researchers may readily underestimate the challenges involved in their work.
Book Synopsis Modelling-based Teaching in Science Education by : John K. Gilbert
Download or read book Modelling-based Teaching in Science Education written by John K. Gilbert and published by Springer. This book was released on 2016-05-30 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book argues that modelling should be a component of all school curricula that aspire to provide ‘authentic science education for all’. The literature on modelling is reviewed and a ‘model of modelling’ is proposed. The conditions for the successful implementation of the ‘model of modelling’ in classrooms are explored and illustrated from practical experience. The roles of argumentation, visualisation, and analogical reasoning, in successful modelling-based teaching are reviewed. The contribution of such teaching to both the learning of key scientific concepts and an understanding of the nature of science are established. Approaches to the design of curricula that facilitate the progressive grasp of the knowledge and skills entailed in modelling are outlined. Recognising that the approach will both represent a substantial change from the ‘content-transmission’ approach to science teaching and be in accordance with current best-practice in science education, the design of suitable approaches to teacher education are discussed. Finally, the challenges that modelling-based education pose to science education researchers, advanced students of science education and curriculum design, teacher educators, public examiners, and textbook designers, are all outlined.
Book Synopsis Similarity and Modeling in Science and Engineering by : Josef Kuneš
Download or read book Similarity and Modeling in Science and Engineering written by Josef Kuneš and published by Springer Science & Business Media. This book was released on 2012-04-07 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present text sets itself in relief to other titles on the subject in that it addresses the means and methodologies versus a narrow specific-task oriented approach. Concepts and their developments which evolved to meet the changing needs of applications are addressed. This approach provides the reader with a general tool-box to apply to their specific needs. Two important tools are presented: dimensional analysis and the similarity analysis methods. The fundamental point of view, enabling one to sort all models, is that of information flux between a model and an original expressed by the similarity and abstraction Each chapter includes original examples and applications. In this respect, the models can be divided into several groups. The following models are dealt with separately by chapter; mathematical and physical models, physical analogues, deterministic, stochastic, and cybernetic computer models. The mathematical models are divided into asymptotic and phenomenological models. The phenomenological models, which can also be called experimental, are usually the result of an experiment on an complex object or process. The variable dimensionless quantities contain information about the real state of boundary conditions, parameter (non-linearity) changes, and other factors. With satisfactory measurement accuracy and experimental strategy, such models are highly credible and can be used, for example in control systems.
Author :Charles Draper William Canham Publisher :Princeton University Press ISBN 13 :9780691092898 Total Pages :500 pages Book Rating :4.0/5 (928 download)
Book Synopsis Models in Ecosystem Science by : Charles Draper William Canham
Download or read book Models in Ecosystem Science written by Charles Draper William Canham and published by Princeton University Press. This book was released on 2003-11-30 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative models are crucial to almost every area of ecosystem science. They provide a logical structure that guides and informs empirical observations of ecosystem processes. They play a particularly crucial role in synthesizing and integrating our understanding of the immense diversity of ecosystem structure and function. Increasingly, models are being called on to predict the effects of human actions on natural ecosystems. Despite the widespread use of models, there exists intense debate within the field over a wide range of practical and philosophical issues pertaining to quantitative modeling. This book--which grew out of a gathering of leading experts at the ninth Cary Conference--explores those issues. The book opens with an overview of the status and role of modeling in ecosystem science, including perspectives on the long-running debate over the appropriate level of complexity in models. This is followed by eight chapters that address the critical issue of evaluating ecosystem models, including methods of addressing uncertainty. Next come several case studies of the role of models in environmental policy and management. A section on the future of modeling in ecosystem science focuses on increasing the use of modeling in undergraduate education and the modeling skills of professionals within the field. The benefits and limitations of predictive (versus observational) models are also considered in detail. Written by stellar contributors, this book grants access to the state of the art and science of ecosystem modeling.
Book Synopsis Formal Modeling in Social Science by : Carol Mershon
Download or read book Formal Modeling in Social Science written by Carol Mershon and published by University of Michigan Press. This book was released on 2019-09-03 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: A formal model in the social sciences builds explanations when it structures the reasoning underlying a theoretical argument, opens venues for controlled experimentation, and can lead to hypotheses. Yet more importantly, models evaluate theory, build theory, and enhance conjectures. Formal Modeling in Social Science addresses the varied helpful roles of formal models and goes further to take up more fundamental considerations of epistemology and methodology. The authors integrate the exposition of the epistemology and the methodology of modeling and argue that these two reinforce each other. They illustrate the process of designing an original model suited to the puzzle at hand, using multiple methods in diverse substantive areas of inquiry. The authors also emphasize the crucial, though underappreciated, role of a narrative in the progression from theory to model. Transparency of assumptions and steps in a model means that any analyst will reach equivalent predictions whenever she replicates the argument. Hence, models enable theoretical replication, essential in the accumulation of knowledge. Formal Modeling in Social Science speaks to scholars in different career stages and disciplines and with varying expertise in modeling.
Book Synopsis Modeling Microbial Responses in Food by : Robin C. McKellar
Download or read book Modeling Microbial Responses in Food written by Robin C. McKellar and published by CRC Press. This book was released on 2003-12-29 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first state-of-the-art review of this dynamic field in a decade, Modeling Microbial Responses in Foods provides the latest information on techniques in mathematical modeling of microbial growth and survival. The comprehensive coverage includes basic approaches such as improvements in the development of primary and secondary models, statistical
