Overview
- Offers a new perspective on the abductive structure of scientific discovery and creativity
- Highlights the role of scientific models, external representations, and artifacts
- Describes a new eco-cognitive model of abductive reasoning
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Applied Philosophy, Epistemology and Rational Ethics (SAPERE, volume 37)
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Table of contents (8 chapters)
Keywords
- Scientific Creativity
- Ecology of Cognition
- Eco-Cognitive Model of Abduction
- Ignorance-Preserving Abduction
- Knowledge-Enhancing Abduction
- Abducibility
- Manipulative Abduction
- Cognitive and Epistemological Niches
- Embodiment and Distributed Cognition
- Optimization of Eco-Cognitive Openness
- Epistemic Mediators
- Naturalization of Logic
- Deductive Logic vs. Ampliative Reasoning
- Scientific Artifacts
- Scientific Models as Fictions
- Model-based Reasoning
- Plausibility and Relevance
- Coherence and Minimality
- Induction and Counterinduction
- Epistemic Responsibility and Epistemic Integrity
About this book
This book employs a new eco-cognitive model of abduction to underline the distributed and embodied nature of scientific cognition. Its main focus is on the knowledge-enhancing virtues of abduction and on the productive role of scientific models.
What are the distinctive features that define the kind of knowledge produced by science? To provide an answer to this question, the book first addresses the ideas of Aristotle, who stressed the essential inferential and distributed role of external cognitive tools and epistemic mediators in abductive cognition. This is analyzed in depth from both a naturalized logic and an ecology of cognition perspective. It is shown how the maximization of cognition, and of abducibility – two typical goals of science – are related to a number of fundamental aspects: the optimization of the eco-cognitive situatedness; the maximization of changeability for both the input and the output of the inferences involved; a high degree of information-sensitiveness; and the need to record the “past life” of abductive inferential practices. Lastly, the book explains how some impoverished epistemological niches – the result of a growing epistemic irresponsibility associated with the commodification and commercialization of science – are now seriously jeopardizing the flourishing development of human creative abduction.
Reviews
“The book presents a broadly dynamic attitude to epistemology and science. … the book makes for appropriate reading in a graduate seminar on science education, epistemology and the philosophy of science, and beyond. Magnani’s broad and dynamic view … should help instructors and students alike gain a fair view of the role that abduction plays for science, and of the crisis it faces.” (Shiyang Yu and Frank Zenker, Science & Education, Vol. 30, 2021)
“Thanks to the notion of manipulative abduction, Magnani was able to treat some of the dilemmas in Peirce scholarship. … Backed up by his intriguing discussions of ‘thinking through doing’, ‘affordances’, and ‘unconscious habits of inference’, perceptual model-based ways of cognition are inseparably intertwined with inferential processes … .” (Woosuk Park, Transactions of the Charles S. Peirce Society, Vol. 56 (3), 2020)
Authors and Affiliations
Bibliographic Information
Book Title: The Abductive Structure of Scientific Creativity
Book Subtitle: An Essay on the Ecology of Cognition
Authors: Lorenzo Magnani
Series Title: Studies in Applied Philosophy, Epistemology and Rational Ethics
DOI: https://doi.org/10.1007/978-3-319-59256-5
Publisher: Springer Cham
eBook Packages: Religion and Philosophy, Philosophy and Religion (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-59255-8Published: 06 September 2017
Softcover ISBN: 978-3-319-86582-9Published: 10 August 2018
eBook ISBN: 978-3-319-59256-5Published: 29 August 2017
Series ISSN: 2192-6255
Series E-ISSN: 2192-6263
Edition Number: 1
Number of Pages: XVIII, 230
Topics: Epistemology, Cognitive Psychology, Computational Intelligence, Logic