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dc.contributor.authorManzini, Thomas
dc.contributor.authorEllis, Simon
dc.contributor.authorHendler, Jim
dc.date.accessioned2022-02-18T02:34:27Z
dc.date.available2022-02-18T02:34:27Z
dc.date.issued2015-11-27
dc.identifier.other72
dc.identifier.urihttp://dx.doi.org/10.1515/jagi-2015-006
dc.identifier.urihttps://hdl.handle.net/20.500.13015/4474
dc.description.abstractIn this paper we offer a model, drawing inspiration from human cognition and based upon the pipeline developed for IBM’s Watson, which solves clues in a type of word puzzle called syllacrostics. We briefly discuss its situation with respect to the greater field of artificial general intelligence (AGI) and how this process and model might be applied to other types of word puzzles. We present an overview of a system that has been developed to solve syllacrostics.
dc.publisherJournal of Artificial General Intelligence
dc.relation.ispartofseries6
dc.relation.ispartofseries1
dc.titleA Play on Words: Using Cognitive Computing as a Basis for AI Solvers in Word Puzzles


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