Overview
- Reflects received view in empirical science that there is something we can call 'reality' for an agent, and that agents use 'representations' in their interactions with the environment
- Examines what capacities can be plausibly computed and discusses the most promising approaches
- Looks for a common link between reality-constructing agents, such as humans, and other living organisms
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Applied Philosophy, Epistemology and Rational Ethics (SAPERE, volume 28)
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About this book
This book enriches our views on representation and deepens our understanding of its different aspects. It arises out of several years of dialog between the editors and the authors, an interdisciplinary team of highly experienced researchers, and it reflects the best contemporary view of representation and reality in humans, other living beings, and intelligent machines.
Structured into parts on the cognitive, computational, natural sciences, philosophical, logical, and machine perspectives, a theme of the field and the book is building and presenting networks, and the editors hope that the contributed chapters will spur understanding and collaboration between researchers in domains such as computer science, philosophy, logic, systems theory, engineering, psychology, sociology, anthropology, neuroscience, linguistics, and synthetic biology.
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Keywords
Table of contents (19 chapters)
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Machine Perspectives
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Front Matter
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Editors and Affiliations
Bibliographic Information
Book Title: Representation and Reality in Humans, Other Living Organisms and Intelligent Machines
Editors: Gordana Dodig-Crnkovic, Raffaela Giovagnoli
Series Title: Studies in Applied Philosophy, Epistemology and Rational Ethics
DOI: https://doi.org/10.1007/978-3-319-43784-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-43782-8Published: 08 September 2017
Softcover ISBN: 978-3-319-82909-8Published: 10 August 2018
eBook ISBN: 978-3-319-43784-2Published: 29 August 2017
Series ISSN: 2192-6255
Series E-ISSN: 2192-6263
Edition Number: 1
Number of Pages: XVI, 378
Number of Illustrations: 20 b/w illustrations, 28 illustrations in colour
Topics: Artificial Intelligence, Philosophy of Science, Computational Intelligence