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Post-turing Methodology: Breaking the Wall on the Way to Artificial General Intelligence
Resource type
Book Section
Authors/contributors
- Goertzel, Ben (Editor)
- Panov, Aleksandr I. (Editor)
- Potapov, Alexey (Editor)
- Yampolskiy, Roman (Editor)
- Efimov, Albert (Author)
Title
Post-turing Methodology: Breaking the Wall on the Way to Artificial General Intelligence
Abstract
This article offers comprehensive criticism of the Turing test and develops quality criteria for new artificial general intelligence (AGI) assessment tests. It is shown that the prerequisites A. Turing drew upon when reducing personality and human consciousness to “suitable branches of thought” reflected the engineering level of his time. In fact, the Turing “imitation game” employed only symbolic communication and ignored the physical world. This paper suggests that by restricting thinking ability to symbolic systems alone Turing unknowingly constructed “the wall” that excludes any possibility of transition from a complex observable phenomenon to an abstract image or concept. It is, therefore, sensible to factor in new requirements for AI (artificial intelligence) maturity assessment when approaching the Turing test. Such AI must support all forms of communication with a human being, and it should be able to comprehend abstract images and specify concepts as well as participate in social practices.
Book Title
Artificial General Intelligence
Volume
12177
Place
Cham
Publisher
Springer International Publishing
Date
2020
Pages
83-94
Language
en
ISBN
978-3-030-52151-6 978-3-030-52152-3
Short Title
Post-turing Methodology
Accessed
3/7/25, 7:59 AM
Library Catalog
DOI.org (Crossref)
Extra
Series Title: Lecture Notes in Computer Science
DOI: 10.1007/978-3-030-52152-3_9
Citation
Efimov, A. (2020). Post-turing Methodology: Breaking the Wall on the Way to Artificial General Intelligence. In B. Goertzel, A. I. Panov, A. Potapov, & R. Yampolskiy (Eds.), Artificial General Intelligence (Vol. 12177, pp. 83–94). Springer International Publishing. https://doi.org/10.1007/978-3-030-52152-3_9
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