Eliminating Artificial-Natural Dichotomy A Formal Study on a Core Cognitive Process in Artificial Intelligence

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23330%2F17%3A43949782" target="_blank" >RIV/49777513:23330/17:43949782 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1145/3080845.3080866" target="_blank" >http://dx.doi.org/10.1145/3080845.3080866</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3080845.3080866" target="_blank" >10.1145/3080845.3080866</a>

Result language
angličtina
Original language name
Eliminating Artificial-Natural Dichotomy A Formal Study on a Core Cognitive Process in Artificial Intelligence
Original language description
The core of this paper is to provide a framework for analyzing the naturalness and artificiality in terms of the new rising of square of opposition, which have fruitful results in doing conceptual analysis in many different disciplines. In this framework, we can deal with two perspectives of analyzing the concepts of naturalness and artificiality: (1) when we focus on intension perspective, the logical relations of naturalness and artificiality by using the formal square of opposition with naïve set theory, the trivialization of the dichotomy of artificiality and naturalness in artificial intelligence will be made; (2) when we focus on extension perspective, with the concept of being natural in tandem with the concept of being artificial, we find that we need to elaborate the inherent inter-inclusive relationship between artificiality and naturalness, either by logical hexagon or by the SQ-NAT-ART with the K-transformation that we define, and a paradigm shift from GOFAI to emergentism AI occurs. On the above basis, we suggest that SQ-NAT-ART with the K-transformation will be a good preparatory work for the research of naturalness and artificiality.
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
60301 - Philosophy, History and Philosophy of science and technology

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ACM International Conference Proceeding Series, Part F128531, art. no. 3080866
ISBN
978-1-4503-5231-4
ISSN
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e-ISSN
neuvedeno
Number of pages
6
Pages from-to
1-6
Publisher name
Associating for Computing Machinery
Place of publication
Wuhan, China
Event location
Wuhan,China
Event date
Apr 7, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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