文献一覧: 09128085 (ISSN) - Ceek.jp Altmetrics

The main aim of this research is to establish a sophisticated methodology for building expert systems based on shared and reusable large knowledge bases. Multis, one of the major Conponents of the methodology, performs task analysis interview and synthesizes problem solving engines for a given task. To design Multis the authors identify libraries of task ontology and reusable software artifacts for construction of knowledge-based systems and make them available for Synthesis via direct-interactive mapping to task models. This library consists of a set of highly generalized software primitives abstracted from existing knowledge-based systems. The mapping to the target task model is accomplished through an intermediate step in which task performers identify the correspondence of the software primitives to their own task ontology. The task ontology itself is created with the use of non-functional task primitives in the form of generic vocabulary, i. e. a vocabulary that is dependent on the task, but not the domain of expertise. The vocabulary combines into verb/noun phrases forming generic processes which are generalized conceptual primitives for a given task. In this paper one such library of software artifacts is presented for the task of scheduling (eg. classroom scheduling for an educational institution) along with the corresponding generic vocabulary and generic process library.

2020-05-12 20:26:53
4 + 0 Twitter

https://ci.nii.ac.jp/naid/110002807695

4 0 0 0 OA ゲーム理論・メカニズムデザインに関する研究動向(<特集>エージェント)

著者: 岩崎敦東藤大樹 Atsushi Iwasaki Taiki Todo
雑誌: 人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence (ISSN:09128085)
巻号頁・発行日: vol.28, no.3, pp.389-396, 2013-05-01

2020-01-26 08:39:56
4 + 3 Twitter

http://id.nii.ac.jp/1004/00008271/

4 0 0 0 ロボットは東大に入れるか? : 国立情報学研究所「人工頭脳」プロジェクト(<特集>ロボットは東大に入れるか?)

著者: 新井紀子松崎拓也 Noriko Arai Takuya Matsuzaki
出版者: 人工知能学会
雑誌: 人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence (ISSN:09128085)
巻号頁・発行日: vol.27, no.5, pp.463-469, 2012-09-01
参考文献数: 2
被引用文献数: 1

2019-02-10 22:27:35
4 + 1 Twitter

https://ci.nii.ac.jp/naid/110009496293

4 0 0 0 OA アイロニーはどのように識別されるか : 暗黙的提示に基づくアイロニーの識別モデル

著者: 内海彰 Akira Utsumi 東京工業大学大学院総合理工学研究科知能システム科学専攻 Dept. of Computational Inteligence and Systems Science Tokyo Institute of Technology
雑誌: 人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence (ISSN:09128085)
巻号頁・発行日: vol.14, no.4, pp.700-708, 1999-07-01

Although many linguistic and psychological studies have been made on verbal irony, they still cannot distinguish ironic utterances from nonironic ones completely. This paper argues that irony is distinguished from nonirony in accordance with both the ironic environment condition (i.e., irony presupposes a situational setting consisting of the speaker's expectation, incongruity between the expectation and the reality, and the speaker's negative attitude) and the implicit display condition (i.e., irony satisfies at least two of the three features: allusion, pragmatic insincerity and indirect cues). This paper then shows that the argument is empirically supported, especially that ironic environment is a crucial distinctive feature of irony while implicit display suggests a high possibility of irony. It also suggests an interpretation process of irony consistent with these findings.

2017-12-30 16:52:49
4 + 0 Twitter

http://id.nii.ac.jp/1004/00004703/

4 0 0 0 音楽における感性情報抽出の試み

著者: 片寄晴弘今井正和井口征士
出版者: 社団法人人工知能学会
雑誌: 人工知能学会誌 (ISSN:09128085)
巻号頁・発行日: vol.3, no.6, pp.748-754, 1988-11-20
被引用文献数: 17

The target in computer has been changing from the numerical forms to the symbolic forms, which we human-being are more familiar with. Recently A. I. is studied as the central technique of computer science. In the near future Artificial Sense is thought to be studied as what follows A. I. This paper describes "Listening to the music", as an approach to Artificial Sense. When we have an end to simulate human-like process, signal processing and knowledge processing have to be concatenated. In this paper, the process "Listening to the music" is considered from three major stages ; transcription, analyzing music and understanding music. In the stage of transcription, the notes are extracted as symbol from acoustic signal. In the stage of analyzing music, the structures as melody, rhythm, chord progression are analyzed from the extracted symbol of the notes. In the stage of understanding music, the sentiments are extracted by the rules which describe the relation between the sentiment and the structure extracted in analyzing stage. This paper presents how machine gets the sentiments listening to the music performance.