Overview
- Interprets some bases of our mental activities, description, and explanation
- Presents a fresh and unconventional interpretation of current conceptual trends
- Provides a clear statement of the consequences of a completely physical brain
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 219)
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About this book
This book reconsiders key issues, such as description and explanation, which affect data analytics. For starters: the soul does not exist. Once released from this cumbersome roommate, we are left with complex biological systems: namely, ourselves, who must configure their environment in terms of worlds that are compatible with what they sense. Far from supplying yet another cosmogony, the book provides the cultivated reader with computational tools for describing and understanding data arising from his surroundings, such as climate parameters or stock market trends, even the win/defeat story of his son football team. Besides the superposition of the very many universes considered by quantum mechanics, we aim to manage families of worlds that may have generated those data through the key feature of their compatibility. Starting from a sharp engineering of ourselves in term of pairs consisting of genome plus a neuron ensemble, we toss this feature in different cognitive frameworks within a span of exploitations ranging from probability distributions to the latest implementations of machine learning. From the perspective of human society as an ensemble of the above pairs, the book also provides scientific tools for analyzing the benefits and drawbacks of the modern paradigm of the world as a service.
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Table of contents (6 chapters)
Authors and Affiliations
Bibliographic Information
Book Title: A Few Things I Know About Her
Book Subtitle: A Personally Machine Learning Inspired Approach to Understand Surrounding Nature
Authors: Bruno Apolloni
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-030-94379-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-94378-3Published: 02 April 2022
Softcover ISBN: 978-3-030-94381-3Published: 04 April 2023
eBook ISBN: 978-3-030-94379-0Published: 01 April 2022
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XV, 198
Number of Illustrations: 28 b/w illustrations, 105 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Mathematical Models of Cognitive Processes and Neural Networks