Reading Order Guide¶

Four audience-specific paths through the wiki, each designed to build understanding in the order that makes most sense for that reader's background and interests.

The wiki contains 100 articles across 17 sections. No one needs to read all of them. The paths below select and sequence the most relevant articles for each audience, building from familiar ground toward the theory's distinctive claims.

Path 1: Philosopher (15 articles)¶

Start with the problems, then see how the theory dissolves them.

Eight Requirements — The evaluative framework
The Pre-Paradigm State — Why no theory has succeeded
The Four-Model Theory — The core proposal
Core Definition of Consciousness — Process, not property
The Real/Virtual Split — The foundational division
Virtual Qualia — The central claim
Hard Problem Dissolution — The category error
The Explanatory Gap — Closes simultaneously
Two-Level Ontology — Not dualism
The Category Error — The level confusion
The Meta-Problem Dissolved — Why mystery persists
Process Physicalism — The philosophical position
Not Illusionism, Not Deflationary — What the theory is not
Consciousness as Process — Causal role clarified
Comparative Scoreboard — How FMT fares against all eight requirements

After completing this path: Continue with Weak Emergence, Substrate Independence, and the individual theory comparisons (Articles 55-62).

Path 2: Neuroscientist (12 articles)¶

Start with the physical foundations and empirical evidence, then see the explanatory range.

The Criticality Requirement — The computational prerequisite
Wolfram's Four Classes — The classification
The Cortical Automaton — The physical interpretation
Five-System Hierarchy — Where consciousness sits
Criticality Evidence — Independent convergence
The Four-Model Theory — The architecture
The Four Models — IWM, ISM, EWM, ESM
Variable Permeability — The explanatory mechanism
Psychedelic Phenomenology — The permeability account
Anesthesia and Loss of Consciousness — Propofol vs. ketamine
Confirmed Predictions — Post-2015 convergence
Information-Theoretic Measures — How to test criticality

After completing this path: Continue with Sleep, Dreams, and Criticality, Split-Brain Phenomena, Prediction 1: Psychedelics Alleviate Anosognosia, and Prediction 4: Lucid Dream Onset.

Path 3: AI Researcher (10 articles)¶

Start with what current AI is missing, then see the engineering specification.

The AI Diagnostic — What machines lack
Why LLMs Are Not Conscious — Under FMT
Two Thresholds for Consciousness — The dual criteria
The Four-Model Theory — The architecture
The Real/Virtual Split — Substrate vs. computation
Engineering Specification for AC — The blueprint
Substrate Independence — Function, not material
Multi-Level Substrate Architecture — Which levels matter
The Path to AGI Runs Through Motivation — Why scaling fails
AI Welfare and Consciousness Criteria — Ethical implications

After completing this path: Continue with Consciousness-Intelligence Bridge, Cognitive Learning vs. Reinforcement Learning, and The Recursive Intelligence Model.

Path 4: Educator (8 articles)¶

Start with the practical implications, then understand the theoretical backing.

Intelligence Is Learnable — The structural prediction
The Three Components — Knowledge, Performance, Motivation
The Recursive Loop — How they interact
Operational Knowledge — The hidden multiplier
The School Grade Disaster — How grades break the loop
Compounding Effects — Why early interventions grow
Educational Implications — What to do differently
The Matthew Effect — Why the rich get richer

After completing this path: Continue with Performance Is Not the Bottleneck, Gf-Gc Divergence, and The Flynn Effect.

Complete Reading Order¶

For readers who want to understand the entire framework, proceed through the sections in this order:

Foundations (Articles 1-4) — Context and requirements
Core Architecture (Articles 5-14) — The four models and their relationships
Dissolving the Hard Problem (Articles 15-20) — The philosophical core
Physical Foundations (Articles 21-26) — Criticality and evidence
Key Mechanisms (Articles 27-33) — How the theory explains phenomena
Philosophical Commitments (Articles 34-38) — The theory's positions
Explanatory Range (Articles 39-48) — Phenomena unified
Predictions (Articles 49-53) — Empirical program
Comparative Analysis (Articles 54-62) — Against rival theories
Intelligence (Articles 63-72) — The Recursive Intelligence Model
Consciousness-Intelligence Bridge (Articles 73-75) — How they connect
AI and Artificial Consciousness (Articles 76-80) — Engineering implications
Education (Articles 81-84) — Societal implications
Formal Foundations (Articles 85-88) — Mathematical frontiers
Open Questions (Articles 89-93) — Research frontiers
Limitations (Articles 94-96) — Intellectual honesty
Reference (Articles 97-100) — Glossary, bibliography, this guide

Figure¶

graph LR
    subgraph "Philosopher Path"
        direction LR
        P1["Requirements"] --> P2["Hard Problem<br/>Dissolution"] --> P3["Ontology &<br/>Comparisons"]
    end

    subgraph "Neuroscientist Path"
        direction LR
        N1["Criticality &<br/>Physical"] --> N2["Architecture &<br/>Mechanisms"] --> N3["Evidence &<br/>Predictions"]
    end

    subgraph "AI Researcher Path"
        direction LR
        A1["AI Diagnostic &<br/>LLM Analysis"] --> A2["Architecture &<br/>Engineering Spec"] --> A3["Substrate &<br/>Welfare"]
    end

    subgraph "Educator Path"
        direction LR
        E1["Intelligence<br/>Is Learnable"] --> E2["Recursive Loop &<br/>Components"] --> E3["Education<br/>Implications"]
    end

    P3 --> ALL["Complete<br/>Reading"]
    N3 --> ALL
    A3 --> ALL
    E3 --> ALL

    style P1 fill:#9b59b6,stroke:#333,color:#fff
    style P2 fill:#9b59b6,stroke:#333,color:#fff
    style P3 fill:#9b59b6,stroke:#333,color:#fff
    style N1 fill:#2ecc71,stroke:#333,color:#000
    style N2 fill:#2ecc71,stroke:#333,color:#000
    style N3 fill:#2ecc71,stroke:#333,color:#000
    style A1 fill:#3498db,stroke:#333,color:#fff
    style A2 fill:#3498db,stroke:#333,color:#fff
    style A3 fill:#3498db,stroke:#333,color:#fff
    style E1 fill:#e67e22,stroke:#333,color:#fff
    style E2 fill:#e67e22,stroke:#333,color:#fff
    style E3 fill:#e67e22,stroke:#333,color:#fff
    style ALL fill:#e74c3c,stroke:#333,color:#fff

Four audience-specific paths through the wiki. Each path starts from the reader's likely entry point and builds toward the theory's core. All paths converge on the complete reading order for readers who want the full picture. Philosopher (purple): problems first. Neuroscientist (green): evidence first. AI Researcher (blue): engineering first. Educator (orange): implications first.

Key Takeaway¶

Start where your expertise is, read what your questions demand, and follow cross-links when curiosity pulls you sideways. The wiki is designed for non-linear exploration — these paths are recommendations, not requirements.