Autonomy Measure

An Autonomy Measure is a capability measure that quantifies independence level in decision-making, action execution, and goal achievement (without external control or intervention).

• AKA: Independence Measure, Self-Direction Measure, Autonomous Capability Metric, Self-Governance Measure.
• Context:
  • It can typically assess Decision Independence through choice freedom metrics.
  • It can typically evaluate Action Authority through execution control levels.
  • It can typically measure Goal Autonomy through objective setting freedom.
  • It can typically quantify Resource Control through allocation independence.
  • It can typically determine Adaptation Freedom through self-modification capability.
  • ...
  • It can often indicate System Maturity through autonomy progression.
  • It can often reflect Trust Level through delegation authority.
  • It can often represent Risk Tolerance through unsupervised operation scope.
  • It can often characterize Intelligence Level through independent reasoning depth.
  • ...
  • It can range from being a Zero Autonomy Measure to being a Full Autonomy Measure, depending on its independence degree.
  • It can range from being a Static Autonomy Measure to being a Dynamic Autonomy Measure, depending on its adaptability over time.
  • It can range from being a Domain-Specific Autonomy Measure to being a General Autonomy Measure, depending on its application scope.
  • It can range from being a Qualitative Autonomy Measure to being a Quantitative Autonomy Measure, depending on its measurement approach.
  • ...
  • It can integrate with Performance Metrics for capability assessment.
  • It can connect to Safety Measures for risk evaluation.
  • It can interface with Control Systems for authority management.
  • It can communicate with Monitoring Systems for oversight tracking.
  • It can synchronize with Governance Frameworks for compliance verification.
  • ...
• Example(s):
  • AI System Autonomy Measures, such as:
    • AI Agent Autonomy Measure for agent independence.
    • Autonomous Vehicle Autonomy Level for driving automation.
    • Robot Autonomy Scale for robotic independence.
  • Organizational Autonomy Measures, such as:
    • Team Autonomy Measure for group self-management.
    • Department Autonomy Level for organizational independence.
    • Subsidiary Autonomy Degree for corporate independence.
  • Biological Autonomy Measures, such as:
    • Organism Autonomy Level for biological independence.
    • Cell Autonomy Measure for cellular self-regulation.
    • Ecosystem Autonomy Degree for ecological self-sufficiency.
  • ...
• Counter-Example(s):
  • Performance Measure, which evaluates effectiveness rather than independence.
  • Complexity Measure, which quantifies intricacy rather than autonomy.
  • Intelligence Measure, which assesses cognitive capability rather than self-direction.
  • Reliability Measure, which measures consistency rather than independence.
• See: Capability Measure, AI Agent Autonomy Measure, Independence Level, Self-Governance, Autonomous System, Control Theory, Decision Authority, SAE Autonomy Level.

---