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.

The ecosystem currently includes four primary components:

A runtime governance architecture for large language models.

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

📄 Formal paper:
Resonant Field Mapping: A Governed Non-Mimetic Empathy Layer for Language Models

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

Originally a CLI prototype, it explores structural instability in language systems under pressure.

A real-time emotional field simulation engine.

Spanda models:

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

Designed for:

• NPC simulations
• emergent social behavior
• resonance cascades
• agent-based modeling

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.

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

• Resonant Field Mapping (RFM)
  https://doi.org/10.5281/zenodo.18637406

• PUTMAN Model (Core Framework)
  https://doi.org/10.5281/zenodo.15636418

(Additional preprints and demonstrators available in respective repositories.)

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.

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