Knowledge-based Planning

Knowledge-based planning represents the planner’s incomplete knowledge state and the domain actions. Actions are being modeled in terms of how they modify the knowledge state of the planner rather than in terms of how they modify the physical world. This approach scales better and supports features that make it applicable to much richer domains and problems. Knowledge rich approaches, such as hierarchical task network planning, have advantages of scalability, expressiveness, continuous plan modification during execution, and the ability to interact with humans. However, these planners also have limitations, such as requiring complete domain models and failing to model uncertainty, that often make them inadequate for real-world problems.


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Knowledge-based Planning,Knowledge-based planning represents the planner’s incomplete knowledge state and the domain actions. Actions are being modeled in terms of how they modify the knowledge state of the planner rather than in terms of how they modify the physical world. This approach scales better and supports features that make it applicable to much richer domains and problems. Knowledge rich approaches, such as hierarchical task network planning, have advantages of scalability, expressiveness, continuous plan modification during execution, and the ability to interact with humans. However, these planners also have limitations, such as requiring complete domain models and failing to model uncertainty, that often make them inadequate for real-world problems.,