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Scientific and Technical Information Processing

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01.12.2023

Collaborative Decision Support Systems Based on Neuro-Symbolic Artificial Intelligence: Problems and Generalized Conceptual Model

verfasst von: A. V. Smirnov, A. V. Ponomarev, N. G. Shilov, T. V. Levashova

Erschienen in: Scientific and Technical Information Processing | Ausgabe 6/2023

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Abstract

The development of artificial intelligence technologies and the growing complexity of decision-making when managing complex dynamic systems necessitate the joint work of humans and artificial intelligence, including as part of teams of heterogeneous participants (for example, experts and agents operating with artificial intelligence). The paper discusses the requirements for collaborative human-machine decision support systems and the problems that can arise during their creation. The methods of neuro-symbolic artificial intelligence can help resolve some of these problems. An analysis of modern results in the field of ontology-oriented neuro-symbolic artificial intelligence is carried out, primarily intended to explain neural network models using ontologies and symbolic knowledge to improve the efficiency of neural network models. A conceptual model of a collaborative human-machine decision support system based on ontology-oriented neuro-symbolic intelligence is proposed.

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Titel: Collaborative Decision Support Systems Based on Neuro-Symbolic Artificial Intelligence: Problems and Generalized Conceptual Model
verfasst von: A. V. Smirnov
A. V. Ponomarev
N. G. Shilov
T. V. Levashova
Publikationsdatum: 01.12.2023
Verlag: Pleiades Publishing
Erschienen in: Scientific and Technical Information Processing / Ausgabe 6/2023
Print ISSN: 0147-6882
Elektronische ISSN: 1934-8118
DOI: https://doi.org/10.3103/S0147688223060151

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