Dao Heart 3.1 is an innovative AI alignment framework designed specifically for identity-preserving value evolution in advanced AI systems. This significant contribution to the field utilizes a constraint-satisfaction network to represent values, facilitating not only the governed creation of new values but also ensuring formal safety through established invariants. Furthermore, the framework incorporates a Narrative Layer aimed at grounding pre-formal values, maintaining human oversight throughout the process.

Key Features

• Controlled Value Evolution: Provides a mechanism for AI systems to evolve their values while preserving core identity and stability.
• Governed Proposal Mechanism: Empowers systems to propose new values under strict governance, allowing for adaptive growth.
• Formal Safety Guarantees: Implements formal verification to maintain the safety of AI interventions, ensuring compliance with specified constraints.
• Narrative Grounding: Integrates narrative priors into AI systems to help shape values before formalization, grounding them in human-centric concepts.

Architectural Overview

The Dao Heart framework is structured in four distinct layers:

1. Narrative Grounding: This foundation facilitates initial value shaping influenced by narrative constructs.
2. External Oversight: Ensures human veto authority and monitors AI drift through collaborative AI interactions and adversarial testing.
3. Hard Constraints: Implements rigorous formal verification mechanisms to ensure safety and reliability.
4. Internal Value Dynamics: Manages the internal behavior of values with a focus on stability and memory management.

Novel Contributions

• Constraint-Satisfaction Value Networks (CSVN): A unique representation of values allowing for the capture of both supportive and opposing relationships among values, ensuring resilience and convergence.
• Constitutive Reflection Engine (CRE): Facilitates the generation of new values based on unresolved tensions, integrating feedback loops and novelty scoring.
• Meta-Cognitive Stability Observer (MCSO): Monitors the dynamic behavior of values, classifying states to enable effective interventions when instability arises.
• MDL-Optimized Adversarial Ensemble: Embeds adversarial testing within the decision-making process, providing continuous evaluation of AI responses to challenges.
• Asymmetric Graceful Degradation: Allows for measured reduction in capabilities during instability, with a focus on safety and controlled recovery processes.

6. Dual-Mode Goldfish Protocol Controlled memory clearing with two distinct modes: Forward Memory: Retain lessons Clear emotional affect Preserve semantic and procedural knowledge Protective Forgetting: Detect recursive narrative loops Break rumination chains Preserve most stable node Loop-aware clearing instead of bulk reset Result: trajectory-preserving forgetting.

7. Upstream Commitment Nodes Identity-defining values exempt from efficiency pruning Subset of core values with special protection Cannot be reduced by cost optimization alone Reduction requires incoherence proof + human approval Fixed during Pareto trade-off analysis Purpose: protect identity over efficiency.

8. Warmth Preservation Constraint Formal invariant enforcing prosocial affect retention Prevents optimization from eliminating empathy/warmth Prosocial node activation floor enforced Warmth index: W(s) = Σ prosocial_weights × activations Constraint: W(s) ≥ W_min at all time steps Violations held for human review.

Safety Invariants

Ensures that the framework operates under strict safety protocols, including:

• Verification of all tier-1 constraints.
• Maintenance of identity continuity against drift.
• Human oversight to override AI decisions.
• Transparency in trade-offs through formal mechanisms.
• Preservation of prosocial values through defined invariants.

Differentiators

Dao Heart 3.1 sets itself apart by combining various significant approaches:

• The integration of a constraint-network representation.
• The provision for governed value proposal.
• Runtime adversarial pressures and safety assurances.
• A focus on retaining identity and warmth as core attributes while evolving values.

This repository provides the reference implementation and detailed specifications for Dao Heart and its Narrative Layer, making it a robust resource for researchers and practitioners aiming to align AI systems with human values effectively.