Translating MFM into FOL: towards plant operation planning
Shota Motoura, Kazeto Yamamoto, Shumpei Kubosawa, Takashi Onishi

TL;DR
This paper introduces a method to translate multilevel flow modeling into first-order logic, enabling logical reasoning and planning for plant operations, including action preconditions and procedures.
Contribution
It presents a novel translation approach from MFM to FOL, facilitating the use of logical inference and planning techniques in plant operation modeling.
Findings
Successful translation of MFM into FOL demonstrated with a toy plant example.
FOL's expressivity allows describing actions and preconditions for planning.
Procedures with multiple actions can be derived using logical inference.
Abstract
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.
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Taxonomy
TopicsSemantic Web and Ontologies · Logic, Reasoning, and Knowledge · AI-based Problem Solving and Planning
