Multi-Agent System — Method

Definition, scope boundary, and structural model.

Identity

A multi-agent system describes a system in which multiple autonomous agents interact, coordinate, and operate within a shared environment to produce system-level outcomes.

Each agent acts based on local information, internal rules, or adaptive behavior, while system behavior emerges from the interaction between agents rather than centralized control.

This reference defines multi-agent systems as a structural coordination model independent of specific technologies, frameworks, or implementation approaches.

Scope Boundary

Included

Excluded

Structural Phase Model

Phase 1 — Agent State Initialization

Agents are instantiated with internal states, goals, or behavioral rules, and are positioned within a shared environment.

Phase 2 — Interaction and Communication

Agents exchange information, signals, or actions through defined interaction mechanisms, including communication protocols or environmental feedback.

Phase 3 — Coordination and Adaptation

Agents adjust behavior based on received information, local objectives, and interaction outcomes, leading to coordinated or competitive dynamics.

Phase 4 — System-Level Outcome

The combined interactions of agents produce observable system-level behavior, which may be stable, adaptive, or emergent.

Interpretation Constraint

This reference provides structural terminology and conceptual boundaries only. It does not define implementation methods, performance guarantees, or regulatory interpretations.