The Standard Model of Consciousness¶

A comprehensive reference for the Four-Model Theory (FMT) and Recursive Intelligence Model (RIM)

The Standard Model of Consciousness is a unified theoretical framework that answers three questions most theories of consciousness leave open: what consciousness is, why physical processes give rise to subjective experience, and how consciousness relates to intelligence. The framework comprises two interlocking theories — the Four-Model Theory (FMT), which specifies the architecture of consciousness, and the Recursive Intelligence Model (RIM), which specifies the dynamics of intelligence — connected by a causal bridge through cognitive learning.

FMT proposes that consciousness is constituted by ongoing self-simulation across four nested models arranged along two axes: scope (world vs. self) and mode (implicit vs. explicit). The explicit models are virtual, transient, and phenomenal — they are the experience. Qualia are constitutive properties of the computational level, dissolving the Hard Problem by revealing it as a category error. The substrate must operate at criticality (edge of chaos) for the simulation to run. Five predictions derived from these principles in 2015 have since been independently confirmed; four novel predictions remain untested.

RIM redefines intelligence as a recursive, self-reinforcing system of Knowledge, Performance, and Motivation. The systematic exclusion of motivation from intelligence models is identified as the field's central blind spot. The bridge between FMT and RIM runs through cognitive learning: consciousness enables the induction of general theories from particular observations, which powers the recursive loop that produces self-directed intellectual development.

Site Map¶

graph LR
    HOME["Home"]

    HOME --> F["I. Foundations"]
    HOME --> CA["II. Core Architecture"]
    HOME --> HP["III. Hard Problem"]
    HOME --> PF["IV. Physical Foundations"]
    HOME --> KM["V. Key Mechanisms"]
    HOME --> PC["VI. Philosophical Commitments"]
    HOME --> PH["VII. Phenomena"]
    HOME --> PR["VIII. Predictions"]
    HOME --> CO["IX. Comparative Analysis"]
    HOME --> RI["X. Intelligence (RIM)"]
    HOME --> BR["XI. Bridge"]
    HOME --> AI["XII. AI & AC"]
    HOME --> ED["XIII. Education"]
    HOME --> FO["XIV. Formal Foundations"]
    HOME --> OQ["XV. Open Questions"]
    HOME --> LI["XVI. Limitations"]
    HOME --> RE["XVII. Reference"]
    HOME --> BA["XVIII. Basics"]

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The wiki is organized into 18 sections spanning 125 articles. Dark red sections cover FMT (consciousness); blue sections cover RIM (intelligence) and their intersection; green covers background knowledge.

Sections¶

Foundations¶

The theoretical starting point: why consciousness science is stuck, what a complete theory must explain, and where this framework comes from.

The Standard Model of Consciousness (Overview) -- Article 1
Eight Requirements for a Theory of Consciousness -- Article 2
The Pre-Paradigm State of Consciousness Science -- Article 3
Historical Context -- Article 4

Core Architecture (FMT)¶

The heart of the theory: four models, two axes, and the real/virtual split that makes experience possible.

The Four-Model Theory -- Article 5
Core Definition of Consciousness -- Article 6
The Two Axes: Scope and Mode -- Article 7
Implicit World Model (IWM) -- Article 9
Implicit Self Model (ISM) -- Article 10
Explicit World Model (EWM) -- Article 11
Explicit Self Model (ESM) -- Article 12
The Real/Virtual Split -- Article 13
Self-Referential Closure -- Article 14

Dissolving the Hard Problem¶

How the theory resolves the deepest puzzle in philosophy of mind -- not by explaining qualia away, but by showing the question rests on a level confusion.

Virtual Qualia -- Article 15
Hard Problem Dissolution -- Article 16
The Category Error (Level Confusion) -- Article 17
The Meta-Problem Dissolved -- Article 20

Physical Foundations¶

The physics beneath the theory: criticality, cellular automata, the five-system hierarchy, and two thresholds.

The Criticality Requirement -- Article 21
The Cortical Automaton -- Article 23
The Five-System Hierarchy -- Article 24
Two Thresholds for Consciousness -- Article 25

Key Mechanisms¶

The dynamic processes that connect architecture to phenomenology: permeability, graduated consciousness, forking, holography.

The Implicit-Explicit Boundary -- Article 27
Variable Permeability -- Article 28
Graduated Levels of Consciousness -- Article 29
The Redirectable ESM -- Article 30
Virtual Model Forking -- Article 31
Holographic Storage -- Article 32
The Dual Evaluation Architecture -- Article 33

Philosophical Commitments¶

The theory's explicit philosophical positions: process physicalism, substrate independence, weak emergence.

Process Physicalism -- Article 34
Consciousness as Process, Not Agent -- Article 35
Substrate Independence -- Article 36
Weak Emergence -- Article 37
Not Illusionism, Not Deflationary -- Article 38

Explanatory Range (Phenomena)¶

What the theory explains: altered states, clinical syndromes, sleep, animal consciousness, and meditation.

Psychedelic Phenomenology -- Article 39
Ego Dissolution -- Article 40
Dissociative Identity Disorder (DID) -- Article 41
Anesthesia and Loss of Consciousness -- Article 42
Split-Brain Phenomena -- Article 43
Sleep, Dreams, and Criticality -- Article 44
Lucid Dreaming -- Article 45
Anosognosia -- Article 46
Animal Consciousness -- Article 47
Meditation -- Article 48

Predictions and Empirical Evidence¶

Five confirmed predictions and four novel ones that no competing theory generates.

Confirmed Predictions (Post-2015 Convergence) -- Article 49
Prediction 1: Psychedelics Alleviate Anosognosia -- Article 50
Prediction 2: Ego Dissolution Content Is Controllable -- Article 51
Prediction 3: DID Alter Switches in ESM Networks -- Article 52
Prediction 4: Lucid Dream Onset Is a Criticality Crossing -- Article 53

Comparative Analysis¶

How FMT compares against every major consciousness theory, requirement by requirement.

Comparative Scoreboard -- Article 54
FMT vs. Integrated Information Theory (IIT) -- Article 55
FMT vs. Global Neuronal Workspace (GNW) -- Article 56
FMT vs. Predictive Processing (PP) -- Article 58
FMT vs. Attention Schema Theory (AST) -- Article 59

The Recursive Intelligence Model (RIM)¶

Intelligence redefined: a recursive system where Knowledge, Performance, and Motivation amplify each other.

The Recursive Intelligence Model (Overview) -- Article 63
The Three Components: Knowledge, Performance, Motivation -- Article 64
The Recursive Loop -- Article 65
Operational Knowledge: The Hidden Multiplier -- Article 66
The Matthew Effect and Compounding Dynamics -- Article 68

The Consciousness-Intelligence Bridge¶

The causal chain linking FMT and RIM through cognitive learning.

Consciousness-Intelligence Bridge -- Article 73
Cognitive Learning vs. Reinforcement Learning -- Article 74
The Dual Evaluation Architecture and Intelligence -- Article 75

AI and Artificial Consciousness¶

What the theory says about current AI, why LLMs are not conscious, and what a conscious machine would require.

The AI Diagnostic: What Machines Are Missing -- Article 76
Why LLMs Are Not Conscious (Under FMT) -- Article 77
Engineering Specification for Artificial Consciousness -- Article 78
The Path to AGI Runs Through Motivation -- Article 79

Educational and Societal Implications¶

What the recursive model means for schools, grading, and the question of whether intelligence is learnable.

Open Questions and Research Frontiers¶

What the theory does not yet know -- and where the research programme goes next.

Open Questions -- Article 89
Are the Implicit Models Also Virtual? -- Article 90
Minimum Configuration for Consciousness -- Article 91

Limitations and Intellectual Honesty¶

The theory's acknowledged limitations, from the other-minds problem to Godel-type constraints.

Limitations -- Article 94
The Other-Minds Problem -- Article 95
Inside-Modeling and Godel -- Article 96

Reference¶

Glossary of Terms -- Article 97
Key Figures and Diagrams -- Article 98
Bibliography -- Article 99
Reading Order Guide -- Article 100

Basics (Background Knowledge)¶

Standalone explainer articles for readers without a science background. Each covers one concept used across the wiki.

Start Here¶

Different readers will want different entry points. Pick the path that matches your background:

Philosopher of mind? Start with Virtual Qualia and Hard Problem Dissolution. The theory's central move is a level-confusion argument that dissolves rather than solves the Hard Problem. From there, follow the Comparative Scoreboard to see how FMT measures against IIT, GNW, HOT, and the rest.

Neuroscientist? Start with The Criticality Requirement and Confirmed Predictions. The theory predicts specific empirical signatures -- five already confirmed by independent groups since 2015, four still untested. The Cortical Automaton and Five-System Hierarchy ground the architecture in neural reality.

AI researcher? Start with Engineering Specification for Artificial Consciousness and Why LLMs Are Not Conscious. The theory provides concrete architectural criteria for consciousness -- not vague analogies -- and explains precisely what current AI systems lack. Then read The Path to AGI Runs Through Motivation for why scaling alone will not produce self-developing agents.

Educator or psychologist? Start with The Recursive Intelligence Model and Intelligence Is Learnable. The recursive model explains why motivation is not a confound but a constitutive component of intelligence, and why conventional grading systems actively destroy the recursive loop they should be strengthening.

New to science? Start with the Basics section. These 25 standalone articles explain the neuroscience, philosophy, and physics concepts used throughout the wiki — no prior knowledge assumed.

Want the full picture? Read the Overview, then follow the articles in numerical order. The wiki is designed so that each article builds on the ones before it.

Source Papers¶

This wiki is based on two peer-reviewed preprints:

FMT: Gruber, M. (2026). The Four-Model Theory of Consciousness: A Simulation-Based Framework Unifying the Hard Problem, Binding, and Altered States. Zenodo. doi:10.5281/zenodo.19064950
RIM: Gruber, M. (2026). Why Intelligence Models Must Include Motivation: A Recursive Framework. PsyArXiv. osf.io/preprints/osf/kctvg

Author¶

Matthias Gruber -- Independent researcher. ORCID: 0009-0005-9697-1665. The theory was originally published in German as Die Emergenz des Bewusstseins (Gruber, 2015) and refined through a structured adversarial challenge process in 2026.

Source code: github.com/JeltzProstetnic/aIware

Based on: Gruber, M. (2026). The Four-Model Theory of Consciousness. Zenodo. doi:10.5281/zenodo.19064950