Method — Autonomous Interaction

Definition, scope boundary, and structural model.

Definition

Autonomous interaction describes a structural process in which independent agents engage in coordinated or responsive exchanges without centralized control.

These interactions are driven by internal decision mechanisms, environmental perception, and communication protocols rather than externally imposed coordination.

Scope Boundary

Included

Agent-to-agent interaction without central control

Distributed decision-making and coordination

Communication and negotiation between autonomous entities

Adaptive interaction patterns in dynamic environments

Multi-agent interaction systems

Excluded

Centralized orchestration systems

Human-directed interaction control

Static rule-based interaction flows

Single-agent decision systems

Implementation-specific communication frameworks

Structural Phase Model

Phase 1 — Perception

Agents observe their environment and detect other agents or interaction signals.

Phase 2 — Interpretation

Observed signals are interpreted based on internal state, goals, and contextual conditions.

Phase 3 — Response Formation

Each agent determines its response independently, based on local rules, learned behavior, or strategic objectives.

Phase 4 — Interaction Execution

Agents exchange actions, signals, or messages, resulting in coordinated, competitive, or emergent behavior across the system.