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https://hdl.handle.net/10119/15265
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| Title: | 情報の伝達から理解へ |
| Authors: | 日高, 昇平 |
| Keywords: | understanding
information
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: | https://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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