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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/15265

Title: 情報の伝達から理解へ
Authors: 日高, 昇平
Keywords: understanding
strong AI
symbol grounding
frame problem
Issue Date: 2016-11-02
Publisher: 人工知能学会
Magazine name: 人工知能学会論文誌
Volume: 31
Number: 6
Start page: AI30-H_1
End page: AI30-H_10
DOI: 10.1527/tjsai.AI30-H
Abstract: A long-standing dream in research on artificial intelligence (AI) is to build a strong AI, which understands and processes the input, unlike a weak AI which just processes it as programmed. Toward realization of this dream, we need a mathematical formulation on what understanding is. In the present study, starting off by revisiting Shannon’s mathematical theory of communication, I argue that it is a model of information transmission but not that of information understanding, because of its common codebook shared by the sender and receiver. I outline the steps to build a model of information understanding, by seeking possibilities of decoding without the shared codebook. Given the model of information understanding, I discuss its relationship to other known problems in AI research, such as the symbol grounding problem and frame problem.
Rights: Copyright (C) 2016 人工知能学会. 日高 昇平, 人工知能学会論文誌, 31(6), 2016, AI30-H_1-AI30-H_10. http://dx.doi.org/10.1527/tjsai.AI30-H
URI: http://hdl.handle.net/10119/15265
Material Type: publisher
Appears in Collections:a10-1. 雑誌掲載論文 (Journal Articles)

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