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The architecture of non-local semantics for artificial general intelligence

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https://econpapers.repec.org/scripts/redir.pf?u=http%3A%2F%2Fwww.inderscience.com%2Flink.php%3Fid%3D126763;h=repec:ids:ijassi:v:9:y:2022:i:4:p:425-441
Time Added
2022/11/21 19:30
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Artificial Intelligence
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Authors
Alexander Raikov
Abstract
This paper addresses the issue of providing artificial intelligence (AI) models by the non-local semantics that reflects non-formalisable and weak formalisable aspects of human consciousness and unconsciousness. Emotions feelings thoughts insights and transcendental state of mind cannot be formalised. But these aspects have to be taken into account during decision-making and analytical conversations with AI support. Trying to represent the aspects using traditional cognitive architectures logical ontology knowledge base and so on are finishing in a formalised way. The decision of the problem in our opinion can be carried out in an indirect way or taking into consideration the peculiarities of the structures of non-local effects in outside spaces such as cosmic spaces and quantum fields. For this it requires to introduce the concepts of non-local cognitive semantics. The paper suggests the approach by which this idea can be implemented during modelling in advanced AI or artificial general intelligence (AGI).
Keywords
artificial intelligence ; entanglement ; cognitive architectures ; cognitive semantics ; quantum interactions ; non-local semantics. (search for similar items in EconPapers)
Year Published
2022
Series
International Journal of Applied Systemic Studies 2022 vol. 9 issue 4 425-441
Rank
0.51
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