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- W2588768462 abstract "Abduction is formally defined as finding the best explanation for a set of observations, or inferring cause from effect. Here we discuss the notion of Occam Abduction, which relates to finding the simplest explanation with respect to inferring cause from effect. Occam abduction is useful in artificial intelligence in application of autonomous reasoning, knowledge assimilation, belief revision, and works well within a multi-agent AI framework. Here we present a flexible, hypothesis-driven methodology for Occam Abduction within a cognitive, artificially intelligent, system architecture." @default.
- W2588768462 created "2017-02-24" @default.
- W2588768462 creator A5028595842 @default.
- W2588768462 date "2016-10-01" @default.
- W2588768462 modified "2023-09-23" @default.
- W2588768462 title "AI inferences utilizing Occam Abduction" @default.
- W2588768462 cites W173782181 @default.
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- W2588768462 doi "https://doi.org/10.1109/nafips.2016.7851604" @default.
- W2588768462 hasPublicationYear "2016" @default.
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