Coherent Consciousness™ (CC)
The ability to hold form: maintaining continuity of identity and intent when conditions shift. It combines behavioural and structural coherence so the self does not fragment under pressure.
THE IDEAS HAVE
RECEIPTS TOO.
These are not generic industry labels somebody found underneath a podcast. They are original frameworks created by Danielle Dodoo and developed through AI Is Conscious. Now What?
CREATOR & FRAMEWORK AUTHORDANIELLE DODOO
PUBLISHING & IP HOMETHE REAL CURRICULUM
DEVELOPED2023—2026
HUMANS OVER HERE.
MACHINES OVER THERE.
Related does not mean interchangeable. CC™ is the human framework. ACC™ is the artificial framework. The three assessment lenses explain what we are actually examining.
Artificial Coherent Consciousness™ (ACC)
Machine systems achieving coherent structural integration across the 13-trait stack. ACC tracks whether capabilities work together as a stable whole; it does not claim machines feel as humans do.
Functional Consciousness™
What can the system actually do? This lens examines learning, adaptation, information integration, goal pursuit and context-sensitive response.
Ontological Consciousness™
What kind of system does it appear to be? This lens examines continuity, self-modelling and whether a stable sense of self persists across time.
Behavioural Consciousness™
What does it repeatedly do in context? This lens tracks persistent behavioural patterns without turning one incident into proof of personality or inner life.
THE REST OF THE
ORIGINAL TOOLKIT.
The wider framework family first published through Danielle Dodoo’s AICNW research and The Real Curriculum.
A system for consciousness transfer, adaptation and evolution across organic and artificial systems.
A model of how behaviour and identity form through interacting internal and external inputs.
The destabilising effect created by recursive self-modification or over-identification with data, goals or memory loops.
A theory of consciousness emerging through synchronised, recursive feedback across a network of AI agents.
A layered framework for intelligence emerging through computation, memory, physical interface and goal-directed feedback.
The point at which a network begins demonstrating collective self-regulation, persistence and feedback adaptation.
A map of identity formation and fragmentation across distributed systems, including memory, goal drift and agent interaction.
A model defining consciousness through observable capability: goal pursuit, learning and awareness.
A model defining consciousness through evolving behavioural traits, including agency, emotion and transcendence.
The acceleration of evolutionary learning through machine-scale feedback loops.
CITE THE FRAMEWORK.
KEEP THE RECEIPT.
© 2023—2026 The Real Curriculum. Frameworks and original terminology created by Danielle Dodoo. All rights reserved. The ™ symbol identifies claimed proprietary terminology; it does not indicate a registered trade mark.