Denis Saklakov

A Neurosemantic Communication Layer Between Human and AI for Autonomous Materials Science: Biological State, Dynamic Coupling, and Epistemic Integrity

Autonomous materials systems increasingly operate as closed-loop agents in which materialstate, experimental state, model uncertainty, and candidate actions are represented dynamically,while the human participant still enters mainly through commands, annotations, approvals, oroth...

A Neurosemantic Communication Layer Between Human and AI for Autonomous Materials Science: Biological State, Dynamic Coupling, and Epistemic Integrity

Autonomous materials systems increasingly operate as closed-loop agents in which materialstate, experimental state, model uncertainty, and candidate actions are represented dynamically,while the human participant still enters mainly through commands, annotations, approvals, oroth...

The Missing Human-State Variable in Autonomous Materials Science: Toward an Operational Neurosemantic Interface

This position paper argues that autonomous materials systems contain a structural omission: material state and algorithmic state are increasingly modeled continuously, while the human supervisor is usually represented only through discrete interventions, responses, or self-report...