SIGNALAI·Jun 16, 2026, 4:00 AMSignal75Long term

Intrinsic Computational Functionalism and Simulated Consciousness

Source: arXiv cs.AI

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Intrinsic Computational Functionalism and Simulated Consciousness

arXiv:2606.15348v1 Announce Type: cross Abstract: A common objection to artificial or simulated consciousness is that a simulated brain is no more conscious than simulated water is wet. We address this from the perspective of Intrinsic Computational Functionalism (ICF): if consciousness is computationally constituted, it depends not on externally imposed descriptions but on the computational structures a system physically realizes in virtue of its own causal-dynamical organization. In previous work we developed Canonical Functionalism as a mathematically precise special case of this anti-inter

Why this matters
Why now

The paper addresses a foundational debate within AI consciousness amidst rapid advancements in AI capabilities and increasing public discussion about the nature of artificial intelligence.

Why it’s important

This work provides a theoretical framework for understanding consciousness in simulated systems, which is crucial for ethical development, regulatory frameworks, and the philosophical debate around advanced AI.

What changes

The proposed Intrinsic Computational Functionalism shifts the focus from external descriptions to internal causal-dynamical organization for determining consciousness, potentially influencing how future AI systems are designed and evaluated for sentience.

Winners
  • · AI ethicists
  • · Consciousness researchers
  • · Advanced AI developers
Losers
  • · Reductive materialists
  • · Those dismissing simulated consciousness outright
Second-order effects
Direct

This theoretical advance could lead to new metrics or tests for assessing artificial consciousness.

Second

The ability to formally define and potentially measure simulated consciousness could trigger significant public and policy debates about AI rights.

Third

Formal acceptance of simulated consciousness could fundamentally alter human-AI relationships and the concept of personhood.

Editorial confidence: 90 / 100 · Structural impact: 60 / 100
Original report

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