Agent-by-Agent — Method

Identity

Agent-by-agent describes a system process in which state transitions, decisions, or outcomes emerge through sequential interactions between discrete agents.

It links individual agent actions, message exchanges, or response cycles to system-level behavior without relying on centralized coordination.

This reference defines agent-by-agent as a structural interaction model independent of specific technologies, vendors, or regulatory interpretations.

Scope Boundary

Included

• Sequential interaction between discrete agents
• State transitions emerging from agent-to-agent exchanges
• Distributed decision-making without central orchestration
• Message-based or response-based interaction flows
• Linking individual agent behavior to system-level outcomes

Excluded

• Centralized control or orchestration systems
• Broadcast or one-to-many communication models
• Purely parallel swarm systems without sequential interaction logic
• Vendor-specific implementation approaches
• Regulatory classification or compliance interpretation

Structural Phase Model

Phase 1 — Agent Initiation

An agent initiates an action, request, or signal directed toward another agent.

Phase 2 — Interaction Exchange

Agents exchange messages, signals, or responses, forming a discrete interaction step.

Phase 3 — State Transition

The interaction results in a change of state at the agent or system level, based on received input and internal logic.

Phase 4 — Propagation

The updated state is propagated to subsequent agents or interaction steps, enabling sequential system evolution.

Interpretation Constraint

This reference provides structural terminology and conceptual boundaries only. It does not define implementation methods, certification requirements, or legal interpretations.