Artificial Intuition for Automated Decision-Making

MARCELLO TROVATI*, UFUK ALPSAHIN CULLEN

*Corresponding author for this work

Research output: Contribution to journalArticle (journal)peer-review

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Abstract

Automated decision-making techniques play a crucial role in data science, AI, and
general machine learning. However, such techniques need to balance accuracy with computational complexity, as their solution requirements are likely to need exhaustive analysis of the potentially numerous events combinations, which constitute the corresponding scenarios. Intuition is an essential tool in the identification of solutions to problems. More specific’ manner, and therefore more efficiently. As a consequence, the embedding of artificial intuition within data science is likely to provide novel ways to identify and process information.
Original languageEnglish
JournalJournal of Applied Artificial Intelligence
Early online date24 Jul 2023
DOIs
Publication statusE-pub ahead of print - 24 Jul 2023

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