achiepatricia/han-decentralized-cognitive-state-transition-dataset-v1

Humanoid Decentralized Cognitive State Transition Dataset

This dataset models internal cognitive state transitions of humanoid agents operating inside a decentralized network.

It captures how agents move between reasoning states, decision states, and action states under varying mission contexts and environmental pressures.

The dataset focuses on structured cognitive graph transitions, allowing reproducible reasoning analysis and AI training.

Objective

To enable formal modeling of humanoid cognitive flows and support advanced reasoning engines within distributed autonomous systems.

Data Fields

• —transitioneventid
• —agent_id
• —mission_id
• —previouscognitivestate
• —triggerinputvector_hash
• —environmentalcontextlabel
• —reasoningdepthlevel
• —uncertainty_score
• —transition_probability
• —selectednextstate
• —alternativecandidatestates
• —decisionlatencyms
• —confidence_score
• —consensusdependencyflag
• —consensus_outcome
• —actionexecutionflag
• —timestamp
• —cryptographicintegrityhash

Cognitive States Modeled

• —perception_processing
• —contextual_reasoning
• —hypothesis_generation
• —risk_evaluation
• —ethical_validation
• —consensus_negotiation
• —action_commit
• —recovery_mode

Use Cases

• —Formal reasoning engines
• —Cognitive transparency systems
• —State-aware AI governance
• —Distributed reasoning validation
• —Advanced humanoid brain modeling

Part of

Humanoid Network (HAN)

License

MIT