FIELD NOTES TOPIC
autonomy
3 notes, newest first.
Partner Capability Estimation for Task-Agnostic Adaptation in Ad-Hoc Teamwork
Researchers introduce a new method called CE-CM (Capability Estimation via Contextual Models) to help autonomous agents collaborate effectively with novel and diverse partners in a multi-task setting. The method infers…
The Autonomous Agency Scale: A Behavioral Framework for Measuring Self-Directed Behavior in AI Systems
The Autonomous Agency Scale (AAS) is a new framework proposed to measure the self-directed behavior of AI systems. The scale evaluates seven dimensions of agency across two temporal bands: active and ambient. It…
Criticality-Based Guard Rail Validation for AI Agent Decisions in Autonomous Telecom Networks
The paper proposes a Guard Rail Validation (GRV) framework for ensuring the accuracy of AI-driven decisions in fully autonomous telecom networks. The framework evaluates decisions based on several factors, such as…
