A New Model for Artificial Intuition

Research output: Chapter in Book/Report/Conference proceedingConference proceeding (ISBN)peer-review

3 Citations (Scopus)
56 Downloads (Pure)

Abstract

The ability to inform and facilitate data-driven decisions is at the core of Data Science, AI, and general Machine Learning techniques. To achieve this, all possible scenarios must be considered, and their outcomes must be assessed logically and systematically to obtain accurate and applicable methods for knowledge discovery. There is compelling evidence from the cognitive sciences that intuition plays an important role in intelligence extraction and the associated decision-making process. As a consequence, the embedding of Artificial Intuition within AI would provide novel ways to identify and process information.
Original languageEnglish
Title of host publicationArtificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings
EditorsElias Pimenidis, Mehmet Aydin, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas
PublisherSpringer
Pages454-465
Number of pages12
ISBN (Print)978-3-031-15918-3
DOIs
Publication statusPublished - 7 Sept 2022
Event31st International Conference on Artificial Neural Networks - Bristol, United Kingdom
Duration: 6 Sept 20229 Sept 2022

Publication series

Name Lecture Notes in Computer Science book series
Volume13529

Conference

Conference31st International Conference on Artificial Neural Networks
Country/TerritoryUnited Kingdom
CityBristol
Period6/09/229/09/22

Keywords

  • Artificial intelligence
  • Artificial intuition
  • Decision algorithms
  • Network theory

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