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Psychology of Artificial Intelligence: Epistemological Markers of the Cognitive Analysis of Neural Networks

arXiv 2407.09563 ↗First posted 4 Jul 2024q-bio.NC cs.AIcited by 5

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Abstract (arXiv)

What is the "nature" of the cognitive processes and contents of an artificial neural network? In other words, how does an artificial intelligence fundamentally "think," and in what form does its knowledge reside? The psychology of artificial intelligence, as predicted by Asimov (1950), aims to study this AI probing and explainability-sensitive matter. This study requires a neuronal level of cognitive granularity, so as not to be limited solely to the secondary macro-cognitive results (such as cognitive and cultural biases) of synthetic neural cognition. A prerequisite for examining the latter is to clarify some epistemological milestones regarding the cognitive status we can attribute to its phenomenology.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 1 of its 10 references that are in the map. First posted on arXiv 4 Jul 2024.

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1 of 10 references.

References · 1

  1. 2024Can A Cognitive Architecture Fundamentally Enhance LLMs? Or Vice Versa?cited by 9

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Citing papers per year: 2024: 2; 2025: 3.

5 papers.