Scientific Reasoning: The Bayesian Approach explains, in an accessible style, those elements of the probability calculus that are relevant to Bayesian methods, and argues that the probability calculus is best regarded as a species of logic.
UNDERSTANDING SCIENTIFIC REASONING develops critical reasoning skills and guides students in the improvement of their scientific and technological literacy. The authors teach students how to understand and critically evaluate the...
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.
"This is a very well-written, timely, and important book.
Not everything that claims to be science is. UNDERSTANDING SCIENTIFIC REASONING shows you easy-to-use principles that let you distinguish good science from bad information you encounter in both textbooks and...
In Theory and Evidence Barbara Koslowski brings into sharp focus the ways in which the standard literature both distorts and underestimates the reasoning abilities of ordinary people.
This book answers these questions. This practical book provides a clear, research-verified framework for helping students develop scientific thinking as required by the NGSS.
[ 3 ] Probable Reasoning Come of Age — Philosophy of Science Imre Lakatos , who died suddenly ... in February 1974 , was scinating person , an outstanding thinker and the best philosopher of science of our strange and uncomfortable ...
Scientific reasoning involves activities such as applying deductive and inductive logic to problem solving, avoiding logical fallacies, and developing theories that explain and predict phenomenon we see in nature or, in the context of ...
In any of these different uses, the book helps students better navigate our scientific, 21st-century world. Key Features Contemporary and historical examples of science from many fields of physical, life, and social sciences.
The volume is based on the papers that were presented at the Interna tional Conference Model-Based Reasoning in Scientific Discovery (MBR'98), held at the Collegio Ghislieri, University of Pavia, Pavia, Italy, in December 1998.