dataset_type string | entries int64 | cooperation_tracked bool | competition_modeled bool | equilibrium_recorded bool | strategy_logged bool | simulation_ready bool | humanoid_ready bool |
|---|---|---|---|---|---|---|---|
strategy-simulation | 67,000 | true | true | true | true | true | true |
Humanoid Multi-Agent Strategy Simulation Dataset
This dataset captures strategic simulations between multiple humanoid agents engaged in cooperative and competitive scenarios.
It includes negotiation paths, strategy selection patterns, and outcome efficiency metrics.
Objective
To train humanoid agents in advanced multi-agent strategic reasoning and adaptive coordination.
Data Fields
- simulation_id
- agent_roles
- strategy_type
- cooperation_index
- competition_index
- payoff_score
- equilibrium_reached_flag
- adaptation_rounds
- timestamp
Use Cases
- Strategic negotiation engines
- Cooperative planning systems
- Competitive task simulations
- Distributed decision modeling
Part of
Humanoid Network (HAN)
License
MIT
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