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The heuristic view = logic, mathematics, and science /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The heuristic view/ edited by Emiliano Ippoliti, Fabio Sterpetti.
其他題名:	logic, mathematics, and science /
其他作者:	Ippoliti, Emiliano.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	vi, 286 p. :ill., digital ;24 cm.
內容註:	1 The Heuristic View: Historical Roots and Emerging Perspectives (Emiliano Ippoliti, Fabio Sterpetti) -- 2 The Two Paradigms of Logic (Carlo Cellucci) -- 3 Lakatos' Contribution to the Philosophy of Mathematics (Donald Gillies) -- 4 Lakatos, Cellucci, and Heuristic Philosophy of Mathematics (Otavio Bueno) -- 5 Problem-Driven Mathematical Explanations in Science (Alan Baker) -- 6 Deductive Theories and Non-Deductive Knowledge (Alexander C. Paseau) -- 7 Mathematics as Objective Knowledge: Discovering How to Make the World Intelligible (Lorenzo Magnani) -- 8 Identifying Multiple Levels of Heuristic Reasoning Used in Scientific Model Construction: A Framework Grounded in Imagistic Processing (John J. Clement) -- 9 The Efficient Market Hypothesis: A Heuristic Appraisal (Emiliano Ippoliti) -- 10 From Physics to Metaphysics: Aristotle's Heuristic Path (Diana Quarantotto) -- 11 There Is a Logician at the Desk! A New Profile for an Old Category of Scholars (Miriam Franchella) -- 12 Teaching Mathematics and the Two-Language Problem: Toward Heuristic Reasoning Being the Praxis of the Mathematics Classroom Experience (Marshall Gordon) -- 13 The Heuristic View and Anti-Exceptionalism about Logic (Fabio Sterpetti).
Contained By:	Springer Nature eBook
標題:	Mathematics - Philosophy. -
電子資源:	https://doi.org/10.1007/978-3-031-94709-4
ISBN:	9783031947094

The heuristic view = logic, mathematics, and science /
The heuristic viewlogic, mathematics, and science /[electronic resource] :edited by Emiliano Ippoliti, Fabio Sterpetti. - Cham :Springer Nature Switzerland :2025. - vi, 286 p. :ill., digital ;24 cm. - Synthese library, studies in epistemology, logic, methodology, and philosophy of science,v. 5022542-8292 ;. - Synthese library, studies in epistemology, logic, methodology, and philosophy of science ;v. 502..

1 The Heuristic View: Historical Roots and Emerging Perspectives (Emiliano Ippoliti, Fabio Sterpetti) -- 2 The Two Paradigms of Logic (Carlo Cellucci) -- 3 Lakatos' Contribution to the Philosophy of Mathematics (Donald Gillies) -- 4 Lakatos, Cellucci, and Heuristic Philosophy of Mathematics (Otavio Bueno) -- 5 Problem-Driven Mathematical Explanations in Science (Alan Baker) -- 6 Deductive Theories and Non-Deductive Knowledge (Alexander C. Paseau) -- 7 Mathematics as Objective Knowledge: Discovering How to Make the World Intelligible (Lorenzo Magnani) -- 8 Identifying Multiple Levels of Heuristic Reasoning Used in Scientific Model Construction: A Framework Grounded in Imagistic Processing (John J. Clement) -- 9 The Efficient Market Hypothesis: A Heuristic Appraisal (Emiliano Ippoliti) -- 10 From Physics to Metaphysics: Aristotle's Heuristic Path (Diana Quarantotto) -- 11 There Is a Logician at the Desk! A New Profile for an Old Category of Scholars (Miriam Franchella) -- 12 Teaching Mathematics and the Two-Language Problem: Toward Heuristic Reasoning Being the Praxis of the Mathematics Classroom Experience (Marshall Gordon) -- 13 The Heuristic View and Anti-Exceptionalism about Logic (Fabio Sterpetti).

This volume offers a series of thought-provoking analyses that explore non-mainstream perspectives on knowledge acquisition and scientific discovery. A central theme across many of the contributions is the heuristic conception of method, a view that finds its philosophical roots in Imre Lakatos's work in the philosophy of mathematics and, more distantly, in Platonic notions of philosophical inquiry. Knowledge acquisition is frequently conceptualized as a form of problem-solving, and problem-solving is typically regarded as a rational endeavor. However, the dominant view in the philosophy of science has long held that scientific discovery resists systematic explanation in terms of logic and rationality. If an alternative account of discovery grounded in these terms can be developed, it would represent a significant theoretical advancement. The essays collected in this book critically assess the promise and limitations of such non-standard accounts, and they investigate the possibility of framing scientific discovery within a logical and rational framework. This volume will be of particular interest to scholars in the philosophy of science, epistemology, philosophy of mathematics, and philosophy of logic, as well as to scientists engaged in theoretical inquiry and graduate students working in these or related areas.

ISBN: 9783031947094

Standard No.: 10.1007/978-3-031-94709-4doiSubjects--Topical Terms:

523930
Mathematics
--Philosophy.

LC Class. No.: QA8.4

Dewey Class. No.: 510.1

The heuristic view = logic, mathematics, and science /
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520 $a This volume offers a series of thought-provoking analyses that explore non-mainstream perspectives on knowledge acquisition and scientific discovery. A central theme across many of the contributions is the heuristic conception of method, a view that finds its philosophical roots in Imre Lakatos's work in the philosophy of mathematics and, more distantly, in Platonic notions of philosophical inquiry. Knowledge acquisition is frequently conceptualized as a form of problem-solving, and problem-solving is typically regarded as a rational endeavor. However, the dominant view in the philosophy of science has long held that scientific discovery resists systematic explanation in terms of logic and rationality. If an alternative account of discovery grounded in these terms can be developed, it would represent a significant theoretical advancement. The essays collected in this book critically assess the promise and limitations of such non-standard accounts, and they investigate the possibility of framing scientific discovery within a logical and rational framework. This volume will be of particular interest to scholars in the philosophy of science, epistemology, philosophy of mathematics, and philosophy of logic, as well as to scientists engaged in theoretical inquiry and graduate students working in these or related areas.
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