As artificial agents proliferate across domains, evaluating their real-world value becomes both essential and challenging. Existing metrics often isolate performance, efficiency, or autonomy, but fail to provide a composite view. VALIA (Value Assessment Layer for Intelligent Agents) proposes a normalized, multi-criteria index to assess agents based on economic impact, technical reliability, operational efficiency, and cognitive resilience over time.
This paper introduces a flexible, extensible model that:
- Combines quantitative and behavioral indicators of agent performance
- Uses normalized scaling and composite scoring for meaningful comparison
- Tracks decay over time, accounting for agent aging and brittleness
- Applies across domains, from enterprise bots to physical robots
By offering a consistent value index, VALIA helps organizations make informed decisions about which agents to deploy, retrain, or retire.