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achiepatricia/han-decentralized-incentive-alignment-model-v1

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Model Card

Humanoid Decentralized Incentive Alignment Model

This model aligns behavioral incentives across decentralized humanoid agents through performance-weighted reward modeling and cooperative equilibrium optimization.

It ensures that distributed agents act in alignment with network-wide objectives without centralized enforcement.

Objective

To create stable cooperative behavior through dynamic incentive calibration and equilibrium-aware optimization.

Architecture

—Contribution Scoring Encoder
—Utility Estimation Layer
—Cooperative Equilibrium Solver
—Incentive Redistribution Engine
—Strategic Deviation Detector

Capabilities

—Performance-weighted contribution scoring
—Utility-based behavioral modeling
—Cooperative equilibrium stabilization
—Strategic deviation detection
—Dynamic reward redistribution

Operational Mode

—Contribution measurement
—Utility estimation
—Incentive recalibration
—Equilibrium validation

Mathematical Foundation

—Multi-agent utility maximization
—Nash-equilibrium approximation
—Dynamic reward gradient adjustment
—Game-theoretic deviation penalty modeling

Designed For

Autonomous humanoid ecosystems requiring incentive-aligned collaboration in distributed economic environments.

Part of

Humanoid Network (HAN)

License

MIT