RAPA (Regime-Adaptive Pair-Gated Agent)
The Regime-Adaptive Pair-Gated Agent (RAPA) represents the engineering implementation of the Dimensional Emergence Framework. Unlike traditional monolithic neural networks, RAPA is designed to be biomimetic, mirroring the functional organization and regime-switching logic observed in biological intelligence.
Architectural Goals
Section titled “Architectural Goals”The RAPA architecture is governed by three primary structural constraints:
- Regime-Adaptivity: The agent activates only the necessary dimensional capacity for a given task, conserving resources and maintaining focus.
- Pairwise Bias: Information is organized into four streams that reflect the complementary pairings of DEF, preventing the unintended entanglement of distinct operational modes.
- Deconstruction & Consolidation: High-dimensional semantic data is periodically projected back into more stable, lower-dimensional belief and intent states to prevent context drift.
The Four Pair-Streams (R4 Configuration)
Section titled “The Four Pair-Streams (R4 Configuration)”In its fully manifest R4 configuration, RAPA operates through four distinct pair-streams
| Stream | DEF Pairing | Functional Role |
|---|---|---|
| Stream A | Structure ↔ Space | World State: Reconstructs object identities and spatial topography. |
| Stream B | Dynamics ↔ Exchange | Interaction: Models transitions, causality, and the “physics” of interaction. |
| Stream C | Valence ↔ Reference | Agent State: Manages preferences, goals, and intentional directedness. |
| Stream D | Meaning ↔ Narrative | Cognitive State: Handles semantic networks, instruction encoding, and long-term coherence. |
Regime Activation & Gating
Section titled “Regime Activation & Gating”A central router dynamically adjusts the agent’s complexity by gating these streams based on the current task requirements:
- R2 Regime (Physicality): Activates only Streams A and B. The agent operates as a purely reactive system, focusing on “world physics” and basic movement.
- R3 Regime (Sentience): Activates Streams A, B, and C. The agent gains intentionality and evaluates outcomes based on internal preferences and goals.
- R4 Regime (Consciousness): Activates all four streams. This enables complex language processing, autobiographical continuity, and reflexive meta-cognition.
The Deconstruction Pipeline
Section titled “The Deconstruction Pipeline”To ensure long-term stability, RAPA employs a deconstruction process that “folds” high-dimensional information back into the core modules:
- Narrative Compression (D → C): Narrative episodes are compressed into stable updates for the agent’s long-term intent and valence structure.
- Preference Integration (C → B): Long-term preferences are embedded as behavioral priors or biases within the dynamics model.
- Reset Mechanism: Transitive parts of the Narrative (D) and Agent (C) streams are reset after consolidation to clear the “working memory” and prevent cumulative errors.
Implementation Outlook
Section titled “Implementation Outlook”RAPA serves as a blueprint for AI that is inherently grounded. By enforcing pairwise coupling—where, for example, language (Stream D) cannot bypass the agent’s intent (Stream C) to directly trigger action (Stream B)—we create a system that is fundamentally more interpretable and aligned with structural reality.