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

Michael Pichat, Enola Campoli, William Pogrund, Jourdan Wilson, Michael Veillet-Guillem +5 more
10/8/2024
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Abstract

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.

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Cite this paper

@article{pichat2024neuropsychology,
  title  = {Neuropsychology of AI: Relationship Between Activation Proximity and Categorical Proximity Within Neural Categories of Synthetic Cognition},
  author = {Michael Pichat and Enola Campoli and William Pogrund and Jourdan Wilson and Michael Veillet-Guillem and Anton Melkozerov and Paloma Pichat and Armanouche Gasparian and Samuel Demarchi and Judicael Poumay},
  year   = {2024},
  eprint = {2410.11868},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.11868v1}
}

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