The Concept of Intelligence: the Hard Problem of Artificial Intelligence

Authors

  • Oscar Caicedo Universidad del Atlántico, Colombia
  • Eduardo Bermúdez Barrera Universidad del Atlántico, Colombia

DOI:

https://doi.org/10.48160/18532330me16.413

Keywords:

cognition, problem solving, memory, predictability

Abstract

Within the entire interdisciplinary framework that makes up the cognitive hexagon—philosophy, anthropology, psychology, linguistics and neuroscienc—, Artificial Intelligence is probably the field that has generated most debate and disagreement in recent years. This article argues that the concept of intelligence as it is usually applied to AI is too generous, creating confusion around what is traditionally understood—from neuroscience and biology, for example—as intelligent thinking or behavior. Contrary to the popular idea that intelligence is about solving problems, we propose that intelligence is more than that: it is about solving problems in a flexible and situational way, making short- and long-term predictions automatically, and that being assertive in these predictions is often what makes our survival possible.

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Published

2025-10-31

How to Cite

Caicedo, O., & Bermúdez Barrera, E. (2025). The Concept of Intelligence: the Hard Problem of Artificial Intelligence. Metatheoria – Journal of Philosophy and History of Science, 16(1), 1–12. https://doi.org/10.48160/18532330me16.413

Issue

Section

Articles