Integrating knowledge about the specific area of operation (the domain) with the desired outcomes (the goals) produces a synergistic effect. For instance, in robotics, understanding the physics of the environment (the domain) alongside the task the robot needs to perform (the goal) generates a plan that is both effective and efficient. This integration allows for the development of strategies that leverage domain-specific insights to achieve the intended objective.
This integrated approach to planning offers substantial advantages. It leads to more robust and adaptable plans, as they are grounded in a deep understanding of the operational context. Historically, planning systems often treated domain knowledge and goal setting as separate processes, resulting in less effective outcomes. The shift toward combining these elements has significantly improved performance across diverse fields, including artificial intelligence, project management, and logistics.