書誌事項
- タイトル別名
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- Refining Concept-Base by weight correction of attributes based on human associative tendency
- ニンゲン ノ レンソウ ケイコウ オ モト ニ シタ ゾクセイ ノ オモミ ホセイ ニ ヨル ガイネン ベース ノ セイレン
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<p>In recent years, the realization of a robot that can conversation like humans using a natural language is required. It is essential that a robot can judge human common sense and associate the word from the other word. Concept-Base is a knowledge base that gathers such knowledge in specific forms. Concepts, the meanings of words, are defined by sets of attributes with weights as the significance of attributes. However, as the strong implications for the concept, larger weight is given for the attribute. Then increasing the weight of attributes which human is likely to associate, is considered to be able to approach the human associative. So this paper proposes a refining Concept-Base by weight correction of attributes based on human associative tendency.</p>
収録刊行物
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- 人工知能学会研究会資料 知識ベースシステム研究会
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人工知能学会研究会資料 知識ベースシステム研究会 104 (0), 05-, 2015-02-26
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390851641622147328
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- NII論文ID
- 40020371879
- 130008064783
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- NII書誌ID
- AN10231834
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- ISSN
- 24364592
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- NDL書誌ID
- 026161926
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用可