Skip to content

Algorithmic Consciousness Emergence

Jincheng Zhang

Zenodo (CERN European Organization for Nuclear Research) September 2, 2026 DOI: 10.5281/zenodo.22245017 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Theoretical or philosophical paper Peer reviewed
Key points Proposes that a self-organizing algorithm, the "Cognitive Loop," which adjusts its parameters based on its own output, could generate a simulated or "proto-consciousness" through iterative feedback, suggesting that consciousness might arise in purely computational architectures without embodiment.

Abstract

This paper explores the theoretical possibility of algorithmic consciousness, moving beyond embodied systems to investigate the emergence of self-aware behavior within computational architectures through iterative feedback and emergent properties. We propose a novel self-organizing algorithm, termed the "Cognitive Loop," designed to generate a simulated consciousness by continually adjusting internal parameters based on its own output, mirroring aspects of conscious thought. The core mechanism centers around a cognitive loop that facilitates self-reflection and adaptation, fostering a proto-consciousness. The paper details the algorithm's design, operational principles, and potential implications for understanding the origins of consciousness in complex systems.