Cognition Without Consciousness: A Minimal Conceptual Framework for Understanding LLMs and Human Cognitive Evolution

Read full text
Authors: Pavel Straňák
Cited by: 0

Abstract

Large language models (LLMs) demonstrate that sophisticated symbolic cognition can emerge from scaled pattern extraction without consciousness. This observation motivates a minimalist conceptual framework: language is a crystallized form of human cognition, created by conscious agents over millennia, and the human brain evolved to operate efficiently over this symbolic substrate. Consciousness and symbolic cognition are therefore distinct: consciousness creates symbols, while symbolic cognition operates over them. LLMs reveal this asymmetry by reproducing symbolic reasoning without possessing conscious regulation, motivation, or subjective experience. This framework clarifies the relationship between biological and artificial cognition and offers a simple model of how human intelligence emerged through gene–culture coevolution.

Fields of Study & Subjects

Philosophy and Theoretical Science Cognitive Science and Education Research Embodied and Extended Cognition

Publication details

Journal / source
Preprints.org
Publication date
9 February 2026
Language
EN
Document type
Preprint