A New Model for Artificial Intuition

MARCELLO TROVATI

doi:10.1007/978-3-031-15919-0_38

A New Model for Artificial Intuition

MARCELLO TROVATI

Computer Science

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

3 Citations (Scopus)

73 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 language	English
Title of host publication	Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings
Editors	Elias Pimenidis, Mehmet Aydin, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas
Publisher	Springer
Pages	454-465
Number of pages	12
ISBN (Print)	978-3-031-15918-3
DOIs	https://doi.org/10.1007/978-3-031-15919-0_38
Publication status	Published - 7 Sept 2022
Event	31st International Conference on Artificial Neural Networks - Bristol, United Kingdom Duration: 6 Sept 2022 → 9 Sept 2022

Publication series

Name	Lecture Notes in Computer Science book series
Volume	13529

Conference

Conference	31st International Conference on Artificial Neural Networks
Country/Territory	United Kingdom
City	Bristol
Period	6/09/22 → 9/09/22

Keywords

Artificial intelligence
Artificial intuition
Decision algorithms
Network theory

Access to Document

10.1007/978-3-031-15919-0_38

artificial_intuition_icann_2022Accepted author manuscript, 372 KBLicence: CC BY-NC-ND

https://link.springer.com/chapter/10.1007/978-3-031-15919-0_38

Cite this

TROVATI, MARCELLO. (2022). A New Model for Artificial Intuition. In E. Pimenidis, M. Aydin, P. Angelov, C. Jayne, & A. Papaleonidas (Eds.), Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings (pp. 454-465). ( Lecture Notes in Computer Science book series ; Vol. 13529). Springer. https://doi.org/10.1007/978-3-031-15919-0_38

TROVATI, MARCELLO. / A New Model for Artificial Intuition. Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings. editor / Elias Pimenidis ; Mehmet Aydin ; Plamen Angelov ; Chrisina Jayne ; Antonios Papaleonidas. Springer, 2022. pp. 454-465 ( Lecture Notes in Computer Science book series ).

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author = "MARCELLO TROVATI",

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TROVATI, MARCELLO 2022, A New Model for Artificial Intuition. in E Pimenidis, M Aydin, P Angelov, C Jayne & A Papaleonidas (eds), Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings. Lecture Notes in Computer Science book series , vol. 13529, Springer, pp. 454-465, 31st International Conference on Artificial Neural Networks, Bristol, United Kingdom, 6/09/22. https://doi.org/10.1007/978-3-031-15919-0_38

A New Model for Artificial Intuition. / TROVATI, MARCELLO.
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings. ed. / Elias Pimenidis; Mehmet Aydin; Plamen Angelov; Chrisina Jayne; Antonios Papaleonidas. Springer, 2022. p. 454-465 ( Lecture Notes in Computer Science book series ; Vol. 13529).

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

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TROVATI MARCELLO. A New Model for Artificial Intuition. In Pimenidis E, Aydin M, Angelov P, Jayne C, Papaleonidas A, editors, Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Proceedings. Springer. 2022. p. 454-465. ( Lecture Notes in Computer Science book series ). doi: 10.1007/978-3-031-15919-0_38

A New Model for Artificial Intuition

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