Automata Cascades: Expressivity and Sample Complexity

نویسندگان

چکیده

Every automaton can be decomposed into a cascade of basic prime automata. This is the Prime Decomposition Theorem by Krohn and Rhodes. Guided this theory, we propose automata cascades as structured, modular, way to describe complex systems made many components, each implementing specific functionality. Any serve component; using components allows for fine-grained control expressivity resulting class automata; implies guarantees. Moreover, specifying describing sample complexity in terms their components. We show that linear number maximum single component, modulo logarithmic factors. opens possibility learning representing large dynamical consisting parts interacting with other. It sharp contrast established understanding automata, described overall states input letters, which it only possible learn where amount data available. Instead our results one exponential

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ژورنال

عنوان ژورنال: Proceedings of the ... AAAI Conference on Artificial Intelligence

سال: 2023

ISSN: ['2159-5399', '2374-3468']

DOI: https://doi.org/10.1609/aaai.v37i8.26147