Sheets Diagrams And Realism In Peirce
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| Author | : Frederik Stjernfelt |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 442 |
| Release | : 2022-09-05 |
| Genre | : Philosophy |
| ISBN | : 3110793628 |
This book investigates a number of central problems in the philosophy of Charles Peirce grouped around the realism of his semiotics: the issue of how sign systems are developed and used in the investigation of reality. Thus, it deals with the precise character of Peirce's realism; with Peirce's special notion of propositions as signs which, at the same time, denote and describe the same object. It deals with diagrams as signs which depict more or less abstract states-of-affairs, facilitating reasoning about them; with assertions as public claims about the truth of propositions. It deals with iconicity in logic, the issue of self-control in reasoning, dependences between phenomena in their realist descriptions. A number of chapters deal with applied semiotics: with biosemiotic sign use among pre-human organisms: the multimedia combination of pictorial and linguistic information in human semiotic genres like cartoons, posters, poetry, monuments. All in all, the book makes a strong case for the actual relevance of Peirce's realist semiotics.
| Author | : Frederik Stjernfelt |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 537 |
| Release | : 2022-09-06 |
| Genre | : Philosophy |
| ISBN | : 3110793679 |
This book investigates a number of central problems in the philosophy of Charles Peirce grouped around the realism of his semiotics: the issue of how sign systems are developed and used in the investigation of reality. Thus, it deals with the precise character of Peirce's realism; with Peirce's special notion of propositions as signs which, at the same time, denote and describe the same object. It deals with diagrams as signs which depict more or less abstract states-of-affairs, facilitating reasoning about them; with assertions as public claims about the truth of propositions. It deals with iconicity in logic, the issue of self-control in reasoning, dependences between phenomena in their realist descriptions. A number of chapters deal with applied semiotics: with biosemiotic sign use among pre-human organisms: the multimedia combination of pictorial and linguistic information in human semiotic genres like cartoons, posters, poetry, monuments. All in all, the book makes a strong case for the actual relevance of Peirce's realist semiotics.
| Author | : Lorenzo Magnani |
| Publisher | : Springer Nature |
| Total Pages | : 1921 |
| Release | : 2023-03-31 |
| Genre | : Technology & Engineering |
| ISBN | : 3031101359 |
This Handbook offers the first comprehensive reference guide to the interdisciplinary field of abductive cognition, providing readers with extensive information on the process of reasoning to hypotheses in humans, animals, and in computational machines. It highlights the role of abduction in both theory practice: in generating and testing hypotheses and explanatory functions for various purposes and as an educational device. It merges logical, cognitive, epistemological and philosophical perspectives with more practical needs relating to the application of abduction across various disciplines and practices, such as in diagnosis, creative reasoning, scientific discovery, diagrammatic and ignorance-based cognition, and adversarial strategies. It also discusses the inferential role of models in hypothetical reasoning, abduction and creativity, including the process of development, implementation and manipulation for different scientific and technological purposes. Written by a group of internationally renowned experts in philosophy, logic, general epistemology, mathematics, cognitive, and computer science, as well as life sciences, engineering, architecture, and economics, the Handbook of Abductive Cognition offers a unique reference guide for readers approaching the process of reasoning to hypotheses from different perspectives and for various theoretical and practical purposes. Numerous diagrams, schemes and other visual representations are included to promote a better understanding of the relevant concepts and to make concepts highly accessible to an audience of scholars and students with different scientific backgrounds.
| Author | : Kathleen A. Hull |
| Publisher | : Taylor & Francis |
| Total Pages | : 232 |
| Release | : 2017-03-27 |
| Genre | : Education |
| ISBN | : 1315444631 |
In this book, scholars examine the nature and significance of Peirce’s work on perception, iconicity, and diagrammatic thinking. Abjuring any strict dichotomy between presentational and representational mental activity, Peirce’s theories transform the Aristotelian, Humean, and Kantian paradigms that continue to hold sway today and forge a new path for understanding the centrality of visual thinking in science, education, art, and communication. This book is a key resource for scholars interested in Perice’s philosophy and its relation to contemporary issues in mathematics, philosophy of mind, philosophy of perception, semiotics, logic, visual thinking, and cognitive science.
| Author | : Don D. Roberts |
| Publisher | : Walter de Gruyter |
| Total Pages | : 169 |
| Release | : 2009-10 |
| Genre | : Logic diagrams |
| ISBN | : 3110226219 |
Peirce's contemporaries had the advantage of some popular lectures on the graphs (the Lowell Lectures of 1903, principally), but his graphical publications were few and not easy to understand, as he admitted himself.
| Author | : Charles S. Peirce |
| Publisher | : Indiana University Press |
| Total Pages | : 336 |
| Release | : 2010-08-19 |
| Genre | : Philosophy |
| ISBN | : 0253004691 |
The philosophy of mathematics plays a vital role in the mature philosophy of Charles S. Peirce. Peirce received rigorous mathematical training from his father and his philosophy carries on in decidedly mathematical and symbolic veins. For Peirce, math was a philosophical tool and many of his most productive ideas rest firmly on the foundation of mathematical principles. This volume collects Peirce's most important writings on the subject, many appearing in print for the first time. Peirce's determination to understand matter, the cosmos, and "the grand design" of the universe remain relevant for contemporary students of science, technology, and symbolic logic.
| Author | : Louis Hébert |
| Publisher | : Routledge |
| Total Pages | : 339 |
| Release | : 2019-11-28 |
| Genre | : Literary Criticism |
| ISBN | : 1000760596 |
An Introduction to Applied Semiotics presents nineteen semiotics tools for text and image analysis. Covering a variety of different schools and approaches, together with the author’s own original approach, this is a full and synthetic introduction to semiotics. This book presents general tools that can be used with any semiotic product. Drawing on the work of Fontanille, Genette, Greimas, Hébert, Jakobson, Peirce, Rastier and Zilberberg, the tools deal with the analysis of themes and action, true and false, positive and negative, rhythm narration and other elements. The application of each tool is illustrated with analyses of a wide range of texts and images, from well-known or distinctive literary texts, philosophical or religious texts or images, paintings, advertising and everyday signs and symbols. Each chapter has the same structure – summary, theory and application, making it ideal for course use. Covering both visual and textual objects, this is a key text for all courses in semiotics and textual analysis within linguistics, communication studies, literary theory, design, marketing and related areas.
| Author | : Umberto Eco |
| Publisher | : Indiana University Press |
| Total Pages | : 288 |
| Release | : 1979 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 9780253203182 |
Discusses the differences between "open" and "closed" texts, or, texts that actively involve the reader and texts that evoke a limited, predetermined response from the reader. -- Back cover.
| Author | : Andrew Stables |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2018 |
| Genre | : Education |
| ISBN | : 9781138742291 |
Semiotic Theory of Learning asks what learning is and what brings it about, challenging the hegemony of psychological and sociological constructions of learning in order to develop a burgeoning literature in semiotics as an educational foundation. Drawing on theoretical research and its application in empirical studies, the book attempts to avoid the problematization of the distinction between theory and practice in semiotics. It covers topics such as signs, significance and semiosis; the ontology of learning; the limits of learning; ecosemiotics; ecology and sexuality. The book is written by five of the key figures in the semiotics field, each committed to the belief that living is a process of interaction through acts of signification with a signifying environment. While the authors are agreed on the value of semiotic frameworks, the book aims not to present an entirely coherent line in every respect, but rather to reflect ongoing scholarship and debates in the area. In light of this, the book offers a range of possible interpretations of major semiotic theorists, unsettling assumptions while offering a fresh, and still developing, series of perspectives on learning from academics grounded in semiotics. Semiotic Theory of Learning is a timely and valuable text that will be of great interest to academics, researchers and postgraduates working in the fields of educational studies, semiotics, psychology, philosophy, applied linguistics and media studies.
| Author | : Jonas Peters |
| Publisher | : MIT Press |
| Total Pages | : 289 |
| Release | : 2017-11-29 |
| Genre | : Computers |
| ISBN | : 0262037319 |
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for classical machine learning problems. All of these topics are discussed first in terms of two variables and then in the more general multivariate case. The bivariate case turns out to be a particularly hard problem for causal learning because there are no conditional independences as used by classical methods for solving multivariate cases. The authors consider analyzing statistical asymmetries between cause and effect to be highly instructive, and they report on their decade of intensive research into this problem. The book is accessible to readers with a background in machine learning or statistics, and can be used in graduate courses or as a reference for researchers. The text includes code snippets that can be copied and pasted, exercises, and an appendix with a summary of the most important technical concepts.
