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- W2565741430 abstract "In this paper we present an embedding of (a fragment of) Input/Output logic into feed forward Neural Networks. We make use of the neural-symbolic methodology in order to allow neural networks to reason about normative systems. By doing so we are able to exploit normative reasoning within the neural networks setting. We aim at showing how neural networks can be used to represent a knowledge base of Input/Ouput logic rules and to reason about dilemma and contrary to duty problems." @default.
- W2565741430 created "2017-01-06" @default.
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- W2565741430 date "2010-01-01" @default.
- W2565741430 modified "2023-09-27" @default.
- W2565741430 title "On the Relationship between I-O Logic and Connectionism" @default.
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