Translating MFM into FOL: towards plant operation planning
This addresses the problem of automating planning in industrial plants, but it is incremental as it applies existing logical methods to a specific modeling framework.
The paper tackles the problem of enabling logical techniques for plant operation planning by proposing a method to translate multilevel flow modeling (MFF) into first-order logic, allowing for tasks like planning to be solved using abduction.
This paper proposes a method to translate multilevel flow modeling (MFM) into a first-order language (FOL), which enables the utilisation of logical techniques, such as inference engines and abductive reasoners. An example of this is a planning task for a toy plant that can be solved in FOL using abduction. In addition, owing to the expressivity of FOL, the language is capable of describing actions and their preconditions. This allows the derivation of procedures consisting of multiple actions.