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Modular design patterns for neural-symbolic integration: refinement and combination

Published 9 Jun 2022 in cs.AI | (2206.04724v2)

Abstract: We formalise some aspects of the neural-symbol design patterns of van Bekkum et al., such that we can formally define notions of refinement of patterns, as well as modular combination of larger patterns from smaller building blocks. These formal notions are being implemented in the heterogeneous tool set (Hets), such that patterns and refinements can be checked for well-formedness, and combinations can be computed.

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