4.5 Article

An architectural approach to modeling artificial general intelligence

期刊

HELIYON
卷 9, 期 3, 页码 -

出版社

CELL PRESS
DOI: 10.1016/j.heliyon.2023.e14443

关键词

Artificial intelligence; General artificial intelligence; Artificial intelligence modeling; Architectural approach; Intelligence subjectivity

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This study proposes an architectural approach for constructing a conceptual model of artificial general intelligence (AGI). The approach, commonly used for modeling enterprise information systems (IS), can also be applied to describe other complex open systems. The paper suggests a three-layer, five-level model of AGI, with two levels at the technological layer, two levels at the relationship layer, and the uppermost level representing general intelligence. The components of each higher layer are connected to components of the lower layers, forming the AGI model. The social layer emphasizes the subjectivity and decision-making abilities of AI, while the upper layer focuses on self-identification and understanding of AGI's place. The hypothesis suggests that limitation of the life cycle is an important condition for the actualization of intelligence.
This study presents an architectural approach for building a conceptual model of artificial general intelligence (AGI). The architectural approach is generally used to model information systems (IS) of enterprises and can be also used as part of a system-wide approach to describe other complex open systems. The paper suggests three layers and five levels of the AGI model. Two levels (en-tropy and process) are at the technological layer of AI functioning, two more levels (social and linguistic ones) are at the relationship layer responsible for the behavior of AI, and, finally, the uppermost level (actualization) supposes general intelligence. All the components of each upper layer are connected to the components of the lower layers forming the AGI model. The feature of the social layer is determined by the requirements to the subjectivity of the intellect, its ability to make decisions independently and be responsible for them. The task of the upper layer is self -identification of AGI and understanding its place. The hypothesis has been put forward that the limitation of the life cycle is an important condition for the actualization of intelligence.

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