agentdriven

Agentdriven, usually written as agent-driven or agent-driven design, refers to approaches in which autonomous software agents drive the behavior of a system. Such agents act on behalf of users or organizations, perceive their environment, reason about options, and take action to achieve stated goals.

Core features include autonomy, proactivity, social ability, adaptability to changing conditions, and goal-oriented behavior. In practice, agent-driven systems use multi-agent systems, agent-oriented programming, or agent-based modeling, and rely on inter-agent messaging, coordination, and governance mechanisms to coordinate tasks and ensure security.

Applications include workflow automation, enterprise integration, IT operations such as monitoring and remediation, supply chain automation, and decision support. The term also appears in agent-based modeling and simulations where entities are represented as agents for study.

Originating in multi-agent systems research of the 1990s, agent-driven design draws on AI, distributed systems, and autonomic computing. Standards and frameworks such as FIPA and JADE helped enable interoperable agent implementations and tooling.

Benefits and challenges: advantages include automation, scalability, resilience, and loose coupling; challenges involve system complexity, security and trust concerns, governance, interoperability, and debugging.

Related topics include multi-agent systems, agent-based modeling, autonomous agents, agent-oriented software engineering, event-driven architecture, and workflow automation.