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

Author

Listed:
  • Mariya Armyanova

    (University of Economics - Varna, Varna, Bulgaria)

  • Yanka Aleksandrova

    (University of Economics - Varna, Varna, Bulgaria)

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.

Suggested Citation

  • Mariya Armyanova & Yanka Aleksandrova, 2022. "Artificial Intelligence System Problems and Opportunities to Solve Them with Design Patterns," Izvestia Journal of the Union of Scientists - Varna. Economic Sciences Series, Union of Scientists - Varna, Economic Sciences Section, vol. 11(2), pages 172-183, August.
  • Handle: RePEc:vra:journl:v:11:y:2022:i:2:p:172-183
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    File URL: http://su-varna.org/journal/IJUSV-ESS/2022.11.2/172-183.pdf
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    References listed on IDEAS

    as
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    4. Grewal, Dhruv & Kroschke, Mirja & Mende, Martin & Roggeveen, Anne L. & Scott, Maura L., 2020. "Frontline Cyborgs at Your Service: How Human Enhancement Technologies Affect Customer Experiences in Retail, Sales, and Service Settings," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 9-25.
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    More about this item

    Keywords

    Arteficial intelligence; Cognitive computing systems; Design patterns; AI patterns;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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