Paper · September 18, 2026
Interacting Hysterons and Threshold Entanglement in Human-AI Reasoning
By Daniel Preisach
The founding paper. It argues that people, AI systems and people working with AI make decisions like a population of switches with memory, and that those switches are not independent.
Key ideas
- Starts from the classical Preisach model (1935): many simple switches, each flipping on at one threshold and off at a lower one, so the system remembers its history.
- Draws on peer-reviewed physics (van Hecke, 2021): three switches that cannot affect each other have 6 possible behaviors. Let them interact and the same three switches produce more than 15,000.
- Notes a gap no one has bridged: interacting-hysteron physics and recent AI research that uses Preisach-style switches in attention do not yet cite each other.
- Proposes a six-stage model of how one decision shifts the thresholds of the next, for a person, an AI, or the two together.
What it means for you
This is the idea underneath Preisach: one decision changes how you make the next one. Your profile captures those thresholds so Claude can see the pattern too.
This paper presents Daniel Preisach’s own work. It builds on peer-reviewed research (Preisach, 1935; van Hecke, 2021) and marks which parts are established and which are proposal.