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putmanmodel/README.md

PUTMAN Model™

Architectural Framework for Runtime Governance, Emotional Field Modeling, and Symbolic Drift Analysis

The PUTMAN Model™ is an evolving systems architecture for modeling tone dynamics, memory constraints, capability control, and recursive symbolic behavior across AI agents and simulated environments.

Rather than simulate “emotion,” the framework formalizes layered control structures for modulation, persistence, and authority under uncertainty.

Read first (latest papers)

Ecosystem components

Four primary components:

📄 Resonant Field Mapping (RFM)

A governance layer for runtime control of language-model behavior.

RFM separates:

  • tone modulation
  • memory persistence
  • capability authority
  • divergence stabilization

Core features include:

  • Goal-Guarded Memory (GGM)
  • Deny-by-default capability leases
  • Deterministic re-entry
  • SDB-1 divergence-triggered reversible degradation

⚙️ L.L.O.Y.D.

Language Layers Over Your Data

A deviation engine for tracking symbolic drift and internal contradiction across multi-turn text streams.

LLOYD analyzes:

  • tone/content mismatch
  • escalation patterns
  • recursive contradiction
  • emotional polarity drift

🌐 Spanda Engine

A real-time emotional field simulation engine.

Spanda models:

  • proximity-based resonance
  • tone propagation
  • decay and recovery
  • crowd instability dynamics
  • reference shifts (ME ↔ US)

🧩 KingPin (Toy Governance Model)

A CLI governance prototype focused on constrained authority and reconvergence rules.

KingPin demonstrates:

  • scoped capability leases
  • deny-by-default enforcement
  • nonce-based revocation
  • reconvergence after disagreement

It serves as a simplified control-plane demonstrator aligned with RFM’s governance layer.

🔧 Application Domains

  • Runtime LLM governance
  • Capability control architectures
  • NPC emotional modeling
  • Symbolic drift detection
  • Multi-agent escalation monitoring
  • Simulation of bounded adaptation systems

📄 Publications

(Additional preprints and demonstrators available in respective repositories.)

📜 License

Creative Commons Attribution–NonCommercial 4.0 International (CC BY-NC 4.0)

All symbolic system names (PUTMAN Model™, Spanda™, L.L.O.Y.D.™, KingPin™, etc.) are documented via timestamped public use.

🤝 Contact

Stephen A. Putman
LinkedIn: Stephen A. Putman
GitHub / X / Reddit: @putmanmodel

Pinned Loading

  1. agent-tool-governance-gateway agent-tool-governance-gateway Public

    Constraint Deviation Engine (CDE) “governance middleware” demo: a warm FastAPI CDE service plus a thin Node gateway that intercepts agent tool calls and enforces Gate 0/1/2 outcomes (pass, evidence…

    Python

  2. kingpin_demo kingpin_demo Public

    Toy governance CLI demo: deny-by-default “danger actions” gated by signed, expiring capability leases (global revoke-all + nonce revoke) plus guarded memory quarantine. Simulation-only: no real net…

    Python

  3. ip-governance-sim ip-governance-sim Public

    Minimal React + TS simulator for staged IP transaction governance: role-aware acknowledgements, red-flag pause protocol, and jurisdiction-tier gating. Static demo for process logic only (no listing…

    TypeScript

  4. SDB-1 SDB-1 Public

    A lightweight safety primitive for multi-channel estimator disagreement in autonomous systems. Triggers staged, reversible, low-risk behavior until estimates reconverge. Research prototype — not ce…

  5. rfm-runtime-architecture rfm-runtime-architecture Public

    Runtime architecture paper for Resonant Field Mapping (RFM): governed tone modulation, goal-guarded memory, deny-by-default capability leases, and divergence-triggered degradation (SDB-1) for bound…

  6. spanda-architectural-framework spanda-architectural-framework Public

    Foundational architectural papers for the Spanda Engine: constraint-grounded dimensional inference, stratified time-scaled memory, and reference-shift multi-agent dynamics. Defines non-omniscient, …