An Interdisciplinary Understanding of Human Intuition

This article from Artificial Intuition Research (AIR), authored by Nikita and Sri Krish, explores how different disciplines approach human intuition. It examines perspectives from psychology, neuroscience, behavioural decision science, philosophy, and computer science, highlighting the distinct questions each field asks and the evidence it uses. The article discusses how implicit learning may shape intuitive impressions, how brain and bodily responses may accompany judgments, when heuristics can support effective decisions, and whether intuition can serve as evidence in philosophical reasoning. It also considers what computational systems can reproduce without assuming that similar outputs demonstrate the same underlying human processes. By comparing these perspectives, the article identifies connections between disciplines while highlighting the limits of what each approach can establish.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-26
DOI
https://doi.org/10.5281/zenodo.23696680
Primary Topic
Decision-Making and Behavioral Economics
Type
article
Field-Weighted Citation Impact
0.00
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article

An Interdisciplinary Understanding of Human Intuition

Sri Krish B, Nikita
Zenodo (CERN European Organization for Nuclear Research)
Decision-Making and Behavioral Economics
article

An Interdisciplinary Understanding of Human Intuition

Sri Krish B, Nikita
article en

Abstract

This article from Artificial Intuition Research (AIR), authored by Nikita and Sri Krish, explores how different disciplines approach human intuition. It examines perspectives from psychology, neuroscience, behavioural decision science, philosophy, and computer science, highlighting the distinct questions each field asks and the evidence it uses. The article discusses how implicit learning may shape intuitive impressions, how brain and bodily responses may accompany judgments, when heuristics can support effective decisions, and whether intuition can serve as evidence in philosophical reasoning. It also considers what computational systems can reproduce without assuming that similar outputs demonstrate the same underlying human processes. By comparing these perspectives, the article identifies connections between disciplines while highlighting the limits of what each approach can establish.

Zenodo (CERN European Organization for Nuclear Research)
Intuit (United States) (US)
Openalex Percentile: Top 6%
Decision-Making and Behavioral Economics
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