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  E-mail Message: I thought you might be interested in this item at http://www.worldcat.org/oclc/1048176651 Title: Building Theories : Heuristics and Hypotheses in Sciences. Author: David Danks; Emiliano Ippoliti Publisher: New York : Springer Jan. 2018. ISBN/ISSN: 9783319727868 3319727869 OCLC:1048176651

  
  

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Building Theories : Heuristics and Hypotheses in Sciences.

Author:	David Danks; Emiliano Ippoliti
Publisher:	New York : Springer Jan. 2018.
Series:	Studies in Applied Philosophy, Epistemology and Rational Ethics Ser., 41.
Edition/Format:	eBook : Document : EnglishView all editions and formats
Summary:	Annotation This book explores new findings on the long-neglected topic of theory construction and discovery, and challenges the orthodox, current division of scientific development into discrete stages: the stage of generation of new hypotheses; the stage of collection of relevant data; the stage of justification of possible theories; and the final stage of selection from among equally confirmed theories. The chapters, written by leading researchers, offer an interdisciplinary perspective on various aspects of the processes by which theories rationally should, and descriptively are, built. They address issues such as the role of problem-solving and heuristic reasoning in theory-building; how inferences and models shape the pursuit of scientific knowledge; the relation between problem-solving and scientific discovery; the relative values of the syntactic, semantic, and pragmatic view of theories in understanding theory construction; and the relation between ampliative inferences, heuristic reasoning, and models as a means for building new theories and knowledge. Through detailed arguments and examinations, the volume collectively challenges the orthodox view's main tenets by characterizing the ways in which the different "stages" are logically, temporally, and psychologically intertwined. As a group, the chapters provide several attempts to answer long-standing questions about the possibility of a unified conceptual framework for building theories and formulating hypotheses.  Read more...
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Subjects	Philosophy. Knowledge, Theory of. Artificial intelligence. View all subjects
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