A Traditional Scientific Perspective on the Integrated Information Theory of Consciousness — Jon Mallatt — 2021

Mallatt evaluates Integrated Information Theory (IIT), highlighting its strengths in logic and structure while criticizing its reliance on theory over evidence. He compares it to neurobiological approaches, arguing scientific progress requires stronger empirical grounding and testable mechanisms.

1. Strengths of IIT (What It Gets Right)

2. Core Critique — Methodological Weakness

3. Conceptual Critique — Overextending Consciousness

4. Alternative Approach — Neurobiological Naturalism (NN)

5. The Deeper Debate — How Consciousness Should Be Studied

🧠 Conclusion

Jon Mallatt forces a shift in how IIT should be understood: not as a settled explanation of consciousness, but as a powerful yet incomplete framework.

His analysis reveals that IIT’s strength lies in its clarity, logic, and ambition—it offers one of the most coherent attempts to define consciousness from first principles. But that same strength is also its vulnerability. By building heavily from theory before evidence, IIT risks being internally consistent yet externally misaligned with how consciousness actually exists in the world.

This reframes IIT from “the answer” to one competing model among others, especially when placed against empirically grounded approaches like Neurobiological Naturalism.

It also raises deeper questions about science itself:

  1. Should we trust elegant theories if they outpace evidence?
  2. Or should explanation always be constrained by observation, even if it limits ambition?

Major questions remain unresolved.

  1. Can Φ actually be measured in real brains?
  2. Does IIT over-attribute consciousness to simple systems?
  3. And most importantly, can a theory built from axioms fully capture something as complex and biologically embedded as experience?

After Mallatt, IIT is no longer just something to learn—it becomes something to critically test.