AI改善のための一提案サールモデルからオースティンモデルへの移行

URI http://harp.lib.hiroshima-u.ac.jp/it-hiroshima/metadata/12428
File
Title
AI改善のための一提案サールモデルからオースティンモデルへの移行
Title Alternative
A Suggestion for Improvement of Artificial Intelligencethe Transition from J. Searle’s Model to J. L. Austin’s
Author
氏名 本多 康作
ヨミ ホンダ コウサク
別名 Kohsaku HONDA
氏名 谷岡 知美
ヨミ タニオカ トモミ
別名 Tomomi TANIOKA
氏名 蓮沼 啓介
ヨミ ハスヌマ ケイスケ
別名 Keisuke HASUNUMA
Subject
performative utterance, speech acts, illocutionary forces, declarative sentences, assessives etc.
Abstract

 This paper reports our new idea as a suggestion for improving Artificial Intelligence, especially the field of “Utterance-Unit Tag.” Rapid technological innovation develops the high artificial intelligence in the area of discourse. To improve this area of skill more, such as adopting the “Utterance-Unit Tag” to the description of our actual, subtle utterances, AI researchers definitely need to classify the concept of “illocutionary forces,” proposed by J. L. Austin (1911-60), more closely. Now the model based on J. Searle (1932-) ’s interpretation of J. L. Austin’s “illocutionary forces” is the generally accepted approach to developing AI discourse, according to previous research. Although Searle emphasizes our intention and function of the utterances, J. L. Austin’s model, however, is more appropriate because Austin focuses on not only verbal convention but also physical convention in his speech-act theory.

Journal Title
広島工業大学紀要. 研究編
Volume
56
Spage
155
Epage
164
Published Date
2022-03
Publisher
広島工業大学
ISSN
1346-9975
NCID
AA11599110
Language
jpn
NIIType
Departmental Bulletin Paper
Text Version
Rights
publisher
Set
it-hiroshima