2024
AAAI
AAAI 2024
Decompositions in Compositional Translation of LTLf to DFA (Student Abstract)
Abstract
Abstract Prior compositional methods in LTLf to DFA conversion have focussed on improving the composition phase. In this work, we examine improvements to the decomposition phase that result in overall improvements in LTLf to DFA translation. Our work is based on reducing the structure of the underlying Abstract Syntax Tree (AST) of a formula such that the new AST results in fewer composition operations.
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Interdisciplinary Bridge
— Computer Science and Knowledge & Reasoning
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Keyword Pioneer
— dfa conversion
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio