The Limits of Scientific Reasoning was first published in 1984. Minnesota Archive Editions uses digital technology to make long-unavailable books once again accessible, and are published unaltered from the original University of Minnesota Press editions. The study of human judgment and its limitations is essential to an understanding of the processes involved in the acquisition of scientific knowledge. With that end in mind, David Faust has made the first comprehensive attempt to apply recent research on human judgment to the practice of science. Drawing upon the findings of cognitive psychology, Faust maintains that human judgment is far more limited than we have tended to believe and that all individuals - scientists included—have a surprisingly restricted capacity to interpret complex information. Faust's thesis implies that scientists do not perform reasoning tasks, such as theory evaluation, as well as we assume they do, and that there are many judgments the scientist is expected to perform but cannot because of restrictions in cognitive capacity. "This is a very well-written, timely, and important book. It documents and clarifies, in a very scholarly fashion, what sociologists and psychologists of science have been flirting with for several decades—namely, inherent limitations of scientific judgment," –Michael Mahoney, Pennsylvania State University David Faust is director of psychology at Rhode Island Hospital and a faculty member of the Brown University Medical School. He is co-author of Teaching Moral Reasoning: Theory and Practice.

Competence in scientific reasoning is one of the most valued outcomes of secondary and higher education. However, there is a need for a deeper understanding of and further research into the roles of domain-general and domain-specific knowledge in such reasoning. This book explores the functions and limitations of domain-general conceptions of reasoning and argumentation, the substantial differences that exist between the disciplines, and the role of domain-specific knowledge and epistemologies. Featuring chapters and commentaries by widely cited experts in the learning sciences, educational psychology, science education, history education, and cognitive science, Scientific Reasoning and Argumentation presents new perspectives on a decades-long debate about the role of domain-specific knowledge and its contribution to the development of more general reasoning abilities.

This exploration of the scientific limits of knowledge challenges our deep-seated beliefs about our universe, our rationality, and ourselves. “A must-read for anyone studying information science.” —Publishers Weekly, starred review Many books explain what is known about the universe. This book investigates what cannot be known. Rather than exploring the amazing facts that science, mathematics, and reason have revealed to us, this work studies what science, mathematics, and reason tell us cannot be revealed. In The Outer Limits of Reason, Noson Yanofsky considers what cannot be predicted, described, or known, and what will never be understood. He discusses the limitations of computers, physics, logic, and our own intuitions about the world—including our ideas about space, time, and motion, and the complex relationship between the knower and the known. Yanofsky describes simple tasks that would take computers trillions of centuries to complete and other problems that computers can never solve: • perfectly formed English sentences that make no sense • different levels of infinity • the bizarre world of the quantum • the relevance of relativity theory • the causes of chaos theory • math problems that cannot be solved by normal means • statements that are true but cannot be proven Moving from the concrete to the abstract, from problems of everyday language to straightforward philosophical questions to the formalities of physics and mathematics, Yanofsky demonstrates a myriad of unsolvable problems and paradoxes. Exploring the various limitations of our knowledge, he shows that many of these limitations have a similar pattern and that by investigating these patterns, we can better understand the structure and limitations of reason itself. Yanofsky even attempts to look beyond the borders of reason to see what, if anything, is out there.

All too often in contemporary discourse, we hear about science overstepping its proper limits—about its brazenness, arrogance, and intellectual imperialism. The problem, critics say, is scientism: the privileging of science over all other ways of knowing. Science, they warn, cannot do or explain everything, no matter what some enthusiasts believe. In Science Unlimited?, noted philosophers of science Maarten Boudry and Massimo Pigliucci gather a diverse group of scientists, science communicators, and philosophers of science to explore the limits of science and this alleged threat of scientism. In this wide-ranging collection, contributors ask whether the term scientism in fact (or in belief) captures an interesting and important intellectual stance, and whether it is something that should alarm us. Is scientism a well-developed position about the superiority of science over all other modes of human inquiry? Or is it more a form of excessive confidence, an uncritical attitude of glowing admiration? What, if any, are its dangers? Are fears that science will marginalize the humanities and eradicate the human subject—that it will explain away emotion, free will, consciousness, and the mystery of existence—justified? Does science need to be reined in before it drives out all other disciplines and ways of knowing? Both rigorous and balanced, Science Unlimited? interrogates our use of a term that is now all but ubiquitous in a wide variety of contexts and debates. Bringing together scientists and philosophers, both friends and foes of scientism, it is a conversation long overdue.

Researchers, historians, and philosophers of science have debated the nature of scientific research in education for more than 100 years. Recent enthusiasm for "evidence-based" policy and practice in educationâ€"now codified in the federal law that authorizes the bulk of elementary and secondary education programsâ€"have brought a new sense of urgency to understanding the ways in which the basic tenets of science manifest in the study of teaching, learning, and schooling. Scientific Research in Education describes the similarities and differences between scientific inquiry in education and scientific inquiry in other fields and disciplines and provides a number of examples to illustrate these ideas. Its main argument is that all scientific endeavors share a common set of principles, and that each fieldâ€"including education researchâ€"develops a specialization that accounts for the particulars of what is being studied. The book also provides suggestions for how the federal government can best support high-quality scientific research in education.

One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.

The fundamental principles of the scientific method are essential for enhancing perspective, increasing productivity, and stimulating innovation. These principles include deductive and inductive logic, probability, parsimony and hypothesis testing, as well as science's presuppositions, limitations, ethics and bold claims of rationality and truth. The examples and case studies drawn upon in this book span the physical, biological and social sciences; include applications in agriculture, engineering and medicine; and also explore science's interrelationships with disciplines in the humanities such as philosophy and law. Informed by position papers on science from the American Association for the Advancement of Science, National Academy of Sciences and National Science Foundation, this book aligns with a distinctively mainstream vision of science. It is an ideal resource for anyone undertaking a systematic study of scientific method for the first time, from undergraduates to professionals in both the sciences and the humanities.

The Handbook Philosophy of Technology and Engineering Sciences addresses numerous issues in the emerging field of the philosophy of those sciences that are involved in the technological process of designing, developing and making of new technical artifacts and systems. These issues include the nature of design, of technological knowledge, and of technical artifacts, as well as the toolbox of engineers. Most of these have thus far not been analyzed in general philosophy of science, which has traditionally but inadequately regarded technology as mere applied science and focused on physics, biology, mathematics and the social sciences. - First comprehensive philosophical handbook on technology and the engineering sciences - Unparalleled in scope including explorative articles - In depth discussion of technical artifacts and their ontology - Provides extensive analysis of the nature of engineering design - Focuses in detail on the role of models in technology