arXiv (All)
open access
From cacophony to hierarchy: a principled framework for assessing AI consciousness
The question of AI consciousness is one of the most urgent pre-emptive problems in philosophy and computer science, yet progress is hampered by a cacophony of competing theories that often talk past each other. Separating the hard problem from the mapping problem allows the deepest metaphysical disa
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- From cacophony to hierarchy: a principled framework for assessing AI consciousness#1108801
- Nodes of Differentiation: An Ontological Framework for Emergent Systems and AI#75079
- How the Brain Makes Up the Mind: a heuristic approach to the hard problem of consciousness#703603
- Philosophical Problems in the Study of Consciousness#732234
- A Layered Model for AI Consciousness and Its Dialogue with Cybersophy#704407
Record · ID 1130272
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive