Neuropsychology of AI: Relationship Between Activation Proximity and Categorical Proximity Within Neural Categories of Synthetic Cognition

Autor:	Pichat, Michael, Campoli, Enola, Pogrund, William, Wilson, Jourdan, Veillet-Guillem, Michael, Melkozerov, Anton, Pichat, Paloma, Gasparian, Armanouche, Demarchi, Samuel, Poumay, Judicael
Rok vydání:	2024
Předmět:	Quantitative Biology - Neurons and Cognition Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	Neuropsychology of artificial intelligence focuses on synthetic neural cog nition as a new type of study object within cognitive psychology. With the goal of making artificial neural networks of language models more explainable, this approach involves transposing concepts from cognitive psychology to the interpretive construction of artificial neural cognition. The human cognitive concept involved here is categorization, serving as a heuristic for thinking about the process of segmentation and construction of reality carried out by the neural vectors of synthetic cognition.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2410.11868 Zobrazit plný text záznamu View this record from Arxiv