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Semantic programming for AI and Robotics Full article

Conference IEEE International Multi-Conference on Engineering, Computer and Information Sciences
11-13 Nov 2022 , Новосибирск
Source 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)
Compilation, IEEE. 2022. 6 c. ISBN 9781665464802.
Output data Year: 2023, Pages: 810-815 Pages count : 6 DOI: 10.1109/sibircon56155.2022.10017077
Tags AI, explainable AI, p-complete languages, polynomial computability, robotics semantic programming, XAI
Authors Goncharov Sergey 1 , Nechesov Andrey 1
Affiliations
1 Sobolev Institute of Mathematics

Funding (1)

1 Sobolev Institute of Mathematics FWNF-2022-0011

Abstract: The paper presents a new high-level object-oriented programming language L* which is a conservative extension of the p-complete logical programming language L. The p-complete language L was developed by us earlier within the framework of semantic programming theory based on PAG-theorem, p-iterative and conditional terms. Thus, L*-programs can be used to implement any algorithms of polynomial complexity in such areas as artificial intelligence, robotics and smart contracts. This is especially true of the so-called explainable artificial intelligence (or briefly XAI), where it is necessary not only to give out the result based on the obtained data, but also to explain this result in a human-understandable language. This requires a programming language based on the basic constructions of mathematical logic such as logical formulas and terms. Moreover, the syntax of language L* is as close as possible to the most popular programming languages such as C++, PHP, JavaScript. Which provides programmers with a quick entry into development.
Cite: Goncharov S. , Nechesov A.
Semantic programming for AI and Robotics
In compilation 2022 IEEE International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). – IEEE., 2023. – C.810-815. – ISBN 9781665464802. DOI: 10.1109/sibircon56155.2022.10017077 Scopus OpenAlex
Dates:
Published print: Jan 23, 2023
Published online: Jan 23, 2023
Identifiers:
Scopus: 2-s.20-85147495798
OpenAlex: W4317826535
Citing:
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OpenAlex 7
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