A Play on Words: Using Cognitive Computing as a Basis for AI Solvers in Word Puzzles

Thomas Manzini, Simon Ellis, James Hendler
<span title="2015-12-01">2015</span> <i title="Walter de Gruyter GmbH"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/hjtluxer7reczevmwzzxvi5hka" style="color: black;">Journal of Artificial General Intelligence</a> </i> &nbsp;
In 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.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1515/jagi-2015-0006">doi:10.1515/jagi-2015-0006</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/63flvvnairfc5gbjkmikiz4lze">fatcat:63flvvnairfc5gbjkmikiz4lze</a> </span>
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