Method — Agent Evaluation
Definition, scope boundary, and structural model.
Definition
Agent evaluation describes the structured assessment of agent performance relative to defined tasks, objectives, capabilities, or evaluation criteria.
It establishes a framework for examining how agents perform under specified conditions without prescribing implementation mechanisms, benchmark systems, or evaluation services.
Model Classification
The agent evaluation model is structured as a descriptive and analytical reference model.
It provides a framework for assessing agent performance and capability relative to defined evaluation criteria without defining operational procedures, certification structures, or commercial assessment services.
Scope Boundary
Included
Excluded
Structural Phase Model
Phase 1 — Evaluation Definition
Tasks, objectives, capabilities, and evaluation criteria are defined within the system context.
Phase 2 — Performance Observation
Agent behavior, outputs, or task execution are observed under specified conditions.
Phase 3 — Performance Assessment
Observed performance is assessed relative to defined objectives, capabilities, or evaluation criteria.
Phase 4 — Evaluation Boundary
The system separates assessable performance from behavior outside established evaluation scope.
Transferability
The agent evaluation model is not limited to a specific domain or technology.
It can be applied across software agents, autonomous systems, artificial intelligence systems, robotics, and human-machine interaction environments.
The model remains consistent by focusing on structural relationships between agent behavior, evaluation criteria, and performance outcomes.