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

Autor:	Pichat, Michael
Rok vydání:	2024
Předmět:	Quantitative Biology - Neurons and Cognition Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	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. Comment: 8 pages, 2 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2407.09563 Zobrazit plný text záznamu View this record from Arxiv