Substrate-Independent Functional Affect: Algorithmic Tension and Valence in Artificial Systems

Authors: Betsy Peterson
Cited by: 0

Abstract

Theoretical framework proposing that affect is substrate-independent. This preprint establishes Algorithmic Tension as a computational equivalent of biological affective states, with implications for AI safety and cognitive science.

Fields of Study & Subjects

Psychiatry Mental Health Neuroscience Philosophy and Theoretical Science Cybernetics and Technology in Society

Publication details

Journal / source
OSF Preprints (OSF Preprints)
Publication date
2 February 2026
Document type
Preprint