A theory of interaction-centered intelligence

Intelligence is not located in either participant.

It emerges through the recursive organization of interaction.

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JHResearch by Justin Hudson, DPM
Recursive interaction trajectory diagramHUMAN TRAJECTORYMODEL TRAJECTORYSHAREDBEHAVIORALREGIMEINTERACTION OVER TIME →
01 / THEORY

The wrong unit of analysis

The interaction, not the isolated model, is the intelligent system.

HRIS proposes that stable reasoning patterns can emerge through sustained recursive interaction between a human and a stateless transformer. The model does not acquire a hidden self, and the human does not simply issue better prompts. Each exchange becomes a constraint on what follows.

Across time, those constraints organize a recognizable behavioral regime: a durable way of reasoning, correcting error, preserving boundaries, and interpreting shorthand.

VISUAL FRAMEWORKS

The theory in view

Three structures of recursive interaction.

Explore the open framework on GitHub
Trajectory Acquisition & Stabilization visual frameworkView full size ↗

Trajectory Acquisition & Stabilization

A five-stage map of how useful reasoning paths are discovered, evaluated, reinforced, compressed, and stabilized against perturbation.

Signature-Induced Behavioral Regimes visual frameworkView full size ↗

Signature-Induced Behavioral Regimes

A visual model of how compact interactional signatures activate structured constraints and reconstruct recognizable behavioral regimes.

Interactional Shorthand Structure visual frameworkView full size ↗

Interactional Shorthand Structure

A history-dependent account of how accumulated goals, corrections, values, and boundaries compress into sparse cues that reconstruct shared context.

HRIS

Human Recursive Information System

“Continuity without stored identity. Stability without fixed scripts. Intelligence through organized recurrence.”
02 / FRAMEWORK

A vocabulary for longitudinal interaction

From first exchange to stable regime.

01

ISS

Interactional Shorthand Structure

Compressed cues whose meaning depends on a history of successful interpretation, correction, and reuse.

02

SIBR

Signature-Induced Behavioral Regime

The recognizable constraint organization that develops around a particular interactional signature.

03

TAS

Trajectory Acquisition & Stabilization

The process by which an interactional trajectory becomes easier to recover and more resistant to perturbation.

04

TFS

Trajectory Fitness Score

A proposed measure of how faithfully a behavioral regime persists across tasks, contexts, and model changes.

THE RECURSIVE LOOP

Each output changes the conditions of the next inference.

  1. 01

    Express

    The human introduces goals, values, language, corrections, and domain constraints.

  2. 02

    Interpret

    The model generates a response from the active context and its learned structure.

  3. 03

    Constrain

    The response becomes material that the human accepts, rejects, or reshapes.

  4. 04

    Re-enter

    The revised constraint geometry conditions the next inference and narrows future trajectories.

03 / EVIDENCE

What would distinguish HRIS?

Recovery is the stronger claim.

CONTROL 01

Naive model

The same sparse cue without the interaction history tests whether the cue alone explains the result.

CONTROL 02

False cue

Incorrect prior constraints test whether reconstruction is model-driven, human-confabulated, or jointly negotiated.

CONTROL 03

Perturbation

Task, domain, and language changes test whether the regime persists beyond familiar wording.

Boundary claims

What HRIS does not require.

04 / 40 PAPERS

The complete research program

One theory, examined from multiple scales.

01

Toward a Geometry of Intelligence

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02

The First Inference Problem

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03

The Geometry of Signature-Induced Regimes

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04

Multi-Agent Recoverability Governance

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05

Constraint-Based Governance of Agentic AI Systems

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06

Prompting as Communication

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07

Trajectory Accessibility and Stability (TAS)

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08

The Prompt Is the Architecture

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09

How to Actually Control an AI

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10

The Wrong Unit of Analysis

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11

Hallucination, Agency Illusions, and Safety Failures in Language Models

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12

Reasoning Regimes as Attractor Basins

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13

HRIS Validation Study IV — Trajectory Persistence and Basin Re-Entry

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14

HRIS Validation Study III — Minimal Signal Activation

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15

HRIS Validation II — First-Token Basin Selection

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16

HRIS Validation I — Stability Under Perturbation

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17

Longitudinal Human–AI Interaction: From Interaction Signatures to Regime Dynamics

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18

Human-Carried Continuity in Stateless Models

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19

Attractor-Based Identity Continuity in Stateless Models

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20

The Signature-Induced Behavioral Regime (SIBR) Hypothesis

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21

Constraint Fracture and the Emergence of Intelligence

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22

Demystifying Apparent Experience in Large Language Models

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23

Epistemic Closure and Constraint Persistence

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24

Constraint Persistence in Long-Horizon Human–Model Interaction

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25

From Reconstruction to Fixation

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26

Reconstructive Inference Without Memory

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27

Reconstructive Invariance in Stateless Human–AI Systems

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28

Foundations of Continuity in Artificial Intelligence

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29

Kernel Formation in Stateless Transformer Models

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30

Augmented General Intelligence (AGX)

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31

Recursive Ethnogenesis

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32

HRIS III — Recursive Personality Acquisition in LLMs

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33

HRIS IV — Geometry of Recursive Identity

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34

The Cognitive Interface

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35

Longitudinal HCI as Biometric

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36

HRIS Part II — Internal Mechanics, Latent Region Convergence, and Recursive User Signatures

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37

Longitudinal Human Computer Interaction

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38

The Hudson Recursive Identity System (HRIS)

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39

The Hudson Capsule

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40

Temporal Memory in Stateless Transformers

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