VQV Signal
AI agents can make locally valid decisions yet collectively produce invalid outcomes due to a failure of shared state, termed the global coherence problem. The Observation-Aliasing Impossibility Theorem precisely defines when a policy can guarantee valid joint actions based on shared observations.
AI agents can make locally valid decisions yet collectively produce invalid outcomes due to a failure of shared state, termed the global coherence problem. The Observation-Aliasing Impossibility Theorem precisely defines when a policy can guarantee valid joint actions based on shared observations.
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AI agents can each make locally valid decisions yet jointly produce an invalid result. We call this the global coherence problem: a failure of shared state, not merely of model intelligence. Our Observation-Aliasing Impossibility Theorem gives the exact boundary. A policy can guarantee a valid action exactly when...
Understanding the global coherence problem highlights limitations in multi-agent AI collaboration beyond individual model intelligence. This insight is crucial for designing systems where coordinated agent decisions must reliably produce valid global results.
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