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

Thomas Manzini, Simon Ellis, J. Hendler
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引用次数: 1

Abstract

Abstract 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.
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文字游戏:使用认知计算作为AI解谜的基础
在本文中,我们提供了一个模型,从人类认知中获得灵感,并基于IBM沃森开发的管道,该模型解决了一种称为音节字谜的字谜中的线索。我们简要讨论了它在更大的人工智能(AGI)领域的情况,以及该过程和模型如何应用于其他类型的字谜。我们提出了一个系统的概述,已开发解决音节。
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