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タイトルToward Question-Asking Machines: The Logic of Questions and the Inquiry Calculus
本文(外部サイト)http://hdl.handle.net/2060/20050082005
著者(英)Knuth,Kevin H.
著者所属(英)NASA Ames Research Center
発行日2005-01-01
言語eng
内容記述For over a century, the study of logic has focused on the algebra of logical statements. This work, first performed by George Boole, has led to the development of modern computers, and was shown by Richard T. Cox to be the foundation of Bayesian inference. Meanwhile the logic of questions has been much neglected. For our computing machines to be truly intelligent, they need to be able to ask relevant questions. In this paper I will show how the Boolean lattice of logical statements gives rise to the free distributive lattice of questions thus defining their algebra. Furthermore, there exists a quantity analogous to probability, called relevance, which quantifies the degree to which one question answers another. I will show that relevance is not only a natural generalization of information theory, but also forms its foundation.
NASA分類Cybernetics, Artificial Intelligence and Robotics
権利No Copyright
URIhttps://repository.exst.jaxa.jp/dspace/handle/a-is/220569


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