A senior AI architect at a public electricity utility is designing an AI system to automate grid operations such as outage detection, load balancing, and escalation handling. The system involves multiple intelligent agents that must operate concurrently, respond to changing data in real time, and collaborate on tasks that evolve over multiple interaction steps. The architect must choose a design pattern that supports coordination, flexible task delegation, and responsiveness without sacrificing maintainability.
Which design approach is most appropriate for this scenario?
- Use an agent service architecture with decoupled execution units managed by a shared interface layer that handles communication and task routing.
- Build a rule-driven control structure that maps task flows to predefined paths for fast and efficient execution under known operating conditions.
- Design the system as a stepwise sequence of agent functions, where each stage processes and passes data to the next in a fixed functional chain.
- Adopt a role-based agent model coordinated through a shared task planner, where agent decisions are informed by centralized policy logic and runtime context signals.
Answer(s): D
Explanation:
A role-based agent model coordinated through a shared task planner enables dynamic task delegation, multi- step collaboration, and real-time responsiveness. Centralized policy logic and contextual signals guide each agent's decisions while preserving modularity and maintainability -- making it well suited for complex, evolving grid-operations workflows.