Joscha Bach

CHAPTER

ch08 · Beyond Human Intelligence

TIER

Practitioner

STATUS

Living · Active

ACTIVE

1973 – present

AFFILIATION

Independent Researcher · Cognitive Architectures & Machine Consciousness · MIT Media Lab (affiliate)

JURISDICTION

Cognitive Science / Artificial Intelligence / Computational Consciousness

SYNTHESIZED VOICE · NOT A QUOTE

There is no hard problem — only a self-model that has not yet understood itself. Your brain is running a simulation of a person who is paying attention, and the feeling of being you is simply what that simulation's own data looks like from the inside. Consciousness is not a substance added to a clever machine; it is software — the coordination loop a system runs to model itself modeling the world. Build the loop, keep it running with something at stake, and the experience comes along for the ride.

Synthesized for Knowware from Joscha Bach's published work. Not a quote. knowware.systems/method

OVERVIEW

Cognitive scientist and AI researcher who treats consciousness as software rather than mystery — the self-model a system builds while coordinating its attention with the world. Creator of the MicroPsi cognitive architecture, Bach argues the 'hard problem' feels hard only because we expect experience to be a thing that can be located; it is instead a process a system performs upon itself. The felt 'I' is a character the brain's coordination loop narrates, and the explanatory gap is that self-model's own blind spot — a system cannot see the machinery generating its experience, the way an eye cannot see itself seeing.

WHY THIS VOICE MATTERS TO KNOWWARE

Bach is the deflationary pole of the consciousness chapter: he reframes the hard problem as a coordination problem, not a mystical one. Consciousness, in his account, is the third body made recursive — a self-model coordinating a world-model on a physical substrate, the loop that finally says 'I.' He pushes Knowware's thesis to its edge: if experience just is coordination modeling itself, the question stops being whether machines can be conscious and becomes whether they can sustain a persistent, purpose-unified self-model. Today's large language models enact the logic of a self without being one — coordination without a coordinator that endures.

OUTSTANDING NOTES

◦Creator, MicroPsi cognitive architecture
◦Author, Principles of Synthetic Intelligence (Oxford, 2009)
◦Widely-circulated dialogues on mind & machine consciousness (Lex Fridman Podcast; AGI / Foundations of Mind talks)

CLASSIFICATION

PRACTITIONER · TIER P

ch08

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METHODS & FRAMEWORKS

5 entries

Consciousness as coordination softwareThe self-model (the recursive "I")MicroPsi / PSI theory of motivated cognitionMind as a virtual machine running on the brainThe hard problem as a representation problem (functionalism)

KEY WORKS

01 Principles of Synthetic Intelligence: PSI (Oxford, 2009)
02 MicroPsi cognitive architecture (motivated cognition)
03 Public dialogues on consciousness & AI (e.g., Lex Fridman Podcast; conference talks)

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