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Theory reconstruction: a representation learning view on predicate invention

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arxiv 1606.08660 v2 pith:RNAM3FZY submitted 2016-06-28 stat.ML cs.LGcs.LO

Theory reconstruction: a representation learning view on predicate invention

classification stat.ML cs.LGcs.LO
keywords inventionlearningpredicaterepresentationtheoryapproachintentionreconstruction
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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With this positional paper we present a representation learning view on predicate invention. The intention of this proposal is to bridge the relational and deep learning communities on the problem of predicate invention. We propose a theory reconstruction approach, a formalism that extends autoencoder approach to representation learning to the relational settings. Our intention is to start a discussion to define a unifying framework for predicate invention and theory revision.

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