Artificial Intelligence System Problems and Opportunities to Solve Them with Design Patterns

Mariya Armyanova and Yanka Aleksandrova ()
Additional contact information
Yanka Aleksandrova: University of Economics - Varna, Varna, Bulgaria

Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, 2022, vol. 11, issue 2, 172-183

Abstract: Artificial intelligence (AI) is entering almost every sphere of modern life. Its influence cannot be ignored and it permeates almost all modern systems. The requirements for the development of such systems are many, he must not only know the capabilities of AI, but also be able to create a complete system that meets certain quality requirements. Some design patterns are provided to help AI developers. Common development practices at the architecture and project level can be encapsulated as patterns to reuse and bring the expertise in this relatively new technology to all developers. For some of the problems discussed, design patterns can offer an effective solution and thus support the overall development process. The research goal is to explore common problems in AI systems and patterns that can offer a solution.

Keywords: Arteficial intelligence; Cognitive computing systems; Design patterns; AI patterns (search for similar items in EconPapers)
JEL-codes: C61 C88 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://su-varna.org/journal/IJUSV-ESS/2022.11.2/172-183.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vra:journl:v:11:y:2022:i:2:p:172-183

Access Statistics for this article

More articles in Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series from Union of Scientists - Varna, Economic Sciences Section Contact information at EDIRC.
Bibliographic data for series maintained by Pavel Petrov ().