Overview
- Discusses connections between AI and medical fields like Neurology and Psychoanalysis
- Surveys results and research directions that stem from the "Simulating the Mind" research area (founded in 1999)
- The book introduces the Psi-Organ, a model of the human brain, as basis for AI systems
Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)
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Table of contents (10 chapters)
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Front Matter
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Back Matter
Keywords
About this book
To be able to merge the psyche with the neural system has been a long-sought goal. There is much scientific literature on results from research on this topic, but the goal of this “booklet” is to present the subject in a nutshell and to attract a wider audience to this highly complex topic. Scientists often need years to grasp the scope and implications of merging the psyche with the neural system. Does that really have to be the case? What does the simulated model look like? What are the underlying philosophies? Can it be understood without mathematical formalism?
Uniting the psyche and neurology in one model, on the one hand, allows psychological and social theories to be tested on a scientific basis using simulation experiments. On the other hand, a model developed according to the functional structures of the human brain, let us call it the Psi-Organ, which comprises neurology and psyche as one unit, can serve as a basis for AI systems. These can be systems with cognitive capabilities that save human lives, save energy, ensure safety at airports, provide support in caring for the elderly and much more. In other words, systems that can simplify our lives in the most relevant ways and on a broad basis. This model, the Psi-Organ, goes far beyond today's primarily behavior-based AI methods.
The manuscript can serve as an excellent introduction to the problem of understanding and modelling the human mind, and to the problem of achieving artificial “intelligence” in general, increasing awareness and understanding for the associated challenges. In that regard, it is a valuable supplementary text for advanced students or researchers in the field, notably not only in AI, but also (and perhaps primarily) in the medical fields.Authors and Affiliations
About the author
Dietmar Dietrich is an electronics technician. With the help of the German Foundation “Studienstiftung des Deutschen Volkes”, he studied electrical engineering in Karlsruhe. After his doctorate, he worked in aeronautical engineering and later in communications engineering. His main topics as a professor of computer technology (in Bielefeld and Vienna), after working in the industry, were mainly automation processes, air traffic control, and increasingly problems of artificial intelligence. He was an organizer and co-organizer of many national and international scientific conferences, and for decades served worldwide on industrial and scientific committees. He previously edited the book “Simulating the Mind - A Technical Neuropsychoanalytical Approach” (Springer, 2009). He is the author of well over 200 publications and 19 books in the fields of automation, air traffic control, fieldbus technology, information technology, communications engineering or computer technology.
Bibliographic Information
Book Title: Artificial Intelligence: A Bridge Between Psychoanalysis and Neurology
Book Subtitle: The Psi-Organ in a Nutshell
Authors: Dietmar Dietrich
Series Title: SpringerBriefs in Computer Science
DOI: https://doi.org/10.1007/978-3-031-30368-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-30367-8Published: 12 May 2023
eBook ISBN: 978-3-031-30368-5Published: 11 May 2023
Series ISSN: 2191-5768
Series E-ISSN: 2191-5776
Edition Number: 1
Number of Pages: XIII, 58
Number of Illustrations: 8 b/w illustrations, 2 illustrations in colour
Topics: Artificial Intelligence, Computer Applications, Psychology, general, Neurology, Data Structures and Information Theory