著者

小方 孝 堀 浩一 大須賀 節雄

出版者

日本認知科学会

雑誌

認知科学 (ISSN:13417924)

巻号頁・発行日

vol.3, no.1, pp.1_72-1_109, 1996 (Released:2008-10-03)

参考文献数

27

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Currently, we have developed a basic framework of general narrative generation system for the purpose of supporting human creative tasks. In this paper, we examine the narrative conceptual generation process by computer through analysing a short detective story. As a result of the analysis, we could devide narrative structure into three aspects; story, plot and construction. While the story is an events sequence that was arranged according to a temporal order in a narrative world, the plot is an events sequence that was reorganized by an order which each event is introduced into a narrative. The construction is the most detailed conceptual representation. A narrative generation process is performed by expanding or transforming a tree structure through these levels. In this paper, we introduce some kinds of relational knowledge that operates the narrative tree based on the analysis.

著者

小方 孝 堀 浩一 大須賀 節雄 Takashi Ogata Koichi Hori Setsuo Ohsuga

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.11, no.1, pp.148-159, 1996-01-01

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In this paper, we describe a basic framework of the narrative generation system for supporting human creative tasks. The narrative generation process by computer is divided into the conceptual representation level and the surface language generation level, and we deal with only the former level here. The conceptual representation is divided into three aspects; story, plot, and construction. While the story is an events sequence that was arranged according to a temporal order, the plot is an events sequence that was reorganized by an order which each event is introduced into a narrative. These three levels in a narrative are constructed as tree structures. Terminal nodes in the tree structures are events and all nodes other than them are relations that connect subordinate nodes. Narrative generation is performed by expanding or transforming a tree structure. In the story and construction generation, the system enlarges each tree by expanding events or partial trees using appropriate relations, and in the plot generation, a story tree is transformed into a plot tree through the connection relations among nodes in it are rearranged. We call narrative techniques the procedures to expand a tree through applying relations to nodes or to transform a tree using actors" viewpoints or plot patterns. On the other hand, we call narrative strategies the rules to decide a current executable narrative technique and the node to which it is applyed according to narrative parameters that define the features of a narrative to be generated through narrative generation process. The system generates a narrative by executing appropriate narrative techniques under the control of narrative strategies based on a set of events and narrative parameters were given by user. This narrative generation mechanism has some remarkable characteristics. First, the system can flexibly generate a variety of narratives from one input. Next, the system has an ability that integrates a variety of theories or knowledge representations and that extends the system itself. These advantages are relate to clear separation among narrative techniques, narrative strategies, and knowledge base. Lastly, by above reason, the system has potentiality that can use for various purposes. We can change or add each modules in it to apply to specific areas.

著者

大須賀 節雄

出版者

公益社団法人 計測自動制御学会

雑誌

計測と制御 (ISSN:04534662)

巻号頁・発行日

vol.25, no.4, pp.299-307, 1986-04-10 (Released:2009-11-26)

参考文献数

18

著者

大須賀節雄

雑誌

情報処理学会研究報告システムソフトウェアとオペレーティング・システム(OS)

巻号頁・発行日

vol.1978, no.20(1978-OS-002), pp.1-10, 1978-09-14

著者

大須賀 節雄

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.7, no.5, pp.796-809, 1992-09-01

被引用文献数

4

著者

小方 孝 堀 浩一 大須賀 節雄

出版者

日本認知科学会

雑誌

認知科学

巻号頁・発行日

vol.3, no.1, pp.1_72-1_109, 1996

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Currently, we have developed a basic framework of general narrative generation system for the purpose of supporting human creative tasks. In this paper, we examine the narrative conceptual generation process by computer through analysing a short detective story. As a result of the analysis, we could devide narrative structure into three aspects; story, plot and construction. While the story is an events sequence that was arranged according to a temporal order in a narrative world, the plot is an events sequence that was reorganized by an order which each event is introduced into a narrative. The construction is the most detailed conceptual representation. A narrative generation process is performed by expanding or transforming a tree structure through these levels. In this paper, we introduce some kinds of relational knowledge that operates the narrative tree based on the analysis.

著者

大須賀 節雄 冨山 哲男 上田 春康 西田 豊明

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.8, no.1, pp.37-45, 1993-01-01

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「AIマップ-AI研究のあり方」(Vol.7, No.5, pp.796-809に掲載)についていろいろな方から御質問やコメントをいただいた.筆者は「AIマップ」という名のもとに,現在行われている多くの研究がそのなかに要素研究として位置づけられるようなAI技術の体系(の一つ)を提案することを試みたわけであるが,その意図は,現在のAI研究のあり方に多少危惧ないしは疑問を持っており,筆者なりにその対案を示すことであった.今日,AI研究の多くは要素研究として行われ,傾向としてはますます理論的な側面が強くなってきた反面,これらの研究成果は必ずしも直接的に利用されにくくなっている.応用分野の人々からのAIへの関心は大きく,応用研究の必要性がいわれているが,応用研究というとともすると「特定の」応用問題として受け取られ,論文にはなりにくいと思われている.その結果,学会誌が難しいといわれているのが現状である.実際には現在行われている要素研究を現実の応用に結びつけるためには,この間に別の「普遍的な」方法論が必要であり,それを実現する情報技術が存在すべきである.AI研究者にそのことが気づかれておらず,したがってAI研究がバランス良く行われていないように見える.「AIマップ-AI研究のあり方」(以下,本文中では本稿と表記)では,体系化を通してそのことを述べたかったのであるが,表現が不十分であり,紙面の制約もあってこの意図が必ずしも理解されなかったかもしれない.いただいた質問も,体系化を議論するうえで必要最少限に留めた個々の要素研究に対する筆者の考え方に対するものが多かった.もちろん,体系化をにらんだうえでの要素研究のあり方に関するものもあり,このような体系化の研究をいかに進めるかという研究の進め方に関する質問もあった.この意味では,問題点を全般的にカバーしているといってもよいかもしれない.それらのなかで,重複を避けた最少限のご質問・コメントを選んで回答させていただいた.

著者

小方 孝 堀 浩一 大須賀 節雄

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.11, no.1, pp.148-159, 1996-01-01

被引用文献数

30

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In this paper, we describe a basic framework of the narrative generation system for supporting human creative tasks. The narrative generation process by computer is divided into the conceptual representation level and the surface language generation level, and we deal with only the former level here. The conceptual representation is divided into three aspects; story, plot, and construction. While the story is an events sequence that was arranged according to a temporal order, the plot is an events sequence that was reorganized by an order which each event is introduced into a narrative. These three levels in a narrative are constructed as tree structures. Terminal nodes in the tree structures are events and all nodes other than them are relations that connect subordinate nodes. Narrative generation is performed by expanding or transforming a tree structure. In the story and construction generation, the system enlarges each tree by expanding events or partial trees using appropriate relations, and in the plot generation, a story tree is transformed into a plot tree through the connection relations among nodes in it are rearranged. We call narrative techniques the procedures to expand a tree through applying relations to nodes or to transform a tree using actors" viewpoints or plot patterns. On the other hand, we call narrative strategies the rules to decide a current executable narrative technique and the node to which it is applyed according to narrative parameters that define the features of a narrative to be generated through narrative generation process. The system generates a narrative by executing appropriate narrative techniques under the control of narrative strategies based on a set of events and narrative parameters were given by user. This narrative generation mechanism has some remarkable characteristics. First, the system can flexibly generate a variety of narratives from one input. Next, the system has an ability that integrates a variety of theories or knowledge representations and that extends the system itself. These advantages are relate to clear separation among narrative techniques, narrative strategies, and knowledge base. Lastly, by above reason, the system has potentiality that can use for various purposes. We can change or add each modules in it to apply to specific areas.

著者

大須賀 節雄

出版者

一般社団法人日本機械学会

雑誌

日本機械学會誌 (ISSN:00214728)

巻号頁・発行日

vol.97, no.906, pp.408-411, 1994-05-05

参考文献数

6

被引用文献数

1

著者

杉本 雅則 堀 浩一 大須賀 節雄

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.8, no.5, pp.575-582, 1993-09-01

被引用文献数

35

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In this paper, we present a system to support design work which is one of the human creative activities. We have applied the system to the domain of automobile design. Conceptual design work of automobile has two phases. In the first phase, each designer builds a new design concept. In the second phase, designers decide a target design concept among their concepts. The system first analyzes existing automobile data statistically and visualize the result in a metric space. In conventional statistical analysis, we give some interpretation to the result. But in our system, the statistical method is used for the different purpose. The system shows its user the space to trigger his/her concept building. The user builds a new design concept by reconfiguring the space. The concept is saved in the database, and when designer group decide their target concept, the system analyzes the database and assists their decision making. Through the experiments, we have got a clue to consider the phenomenon of concept formation process. Based on it, we propose a model of concept formation process. We have confirmed that the system is useful for conceptual design work. The designer of an automobile company said that it is interesting and is effective to promote conceptual design work.

著者

西尾 章治郎 大須賀 節雄 桐山 孝司 西田 豊明 藤原 譲 松本 裕治 溝口 理一郎

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.10, no.1, pp.3-16, 1995-01-01

被引用文献数

5

著者

角 康之 小川 竜太 堀 浩一 大須賀 節雄 間瀬 健二

出版者

一般社団法人電子情報通信学会

雑誌

電子情報通信学会論文誌. A, 基礎・境界 (ISSN:09135707)

巻号頁・発行日

vol.79, no.2, pp.251-260, 1996-02-25

被引用文献数

17

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現代社会では, 背景知識の異なる専門家同士が共同作業をする場が増えている. 従って, 人間の共同作業におけるコミュニケーションを支援する方法論やコンピュータシステムを開発することが工学的にも重要な課題となっている. 本論文では, ユーザの思考空間を可視化することによるコミュニケーション支援手法を提案し, それに基づいて試作されたツールCSSを紹介する. 提案する手法は, ユーザの心の中にある概念やそれを構成する概念素の関連性を距離空間に可視化し, 個人若しくはグループにおける概念形成を支援するというものである. 本論文では, 言葉の使い方の個人差や, 個人の主観的見解の相違を顕在化するのに本手法が有効であることを示し, 更に, CSS をグループによるフリーディスカッションに適用した例も紹介する.

著者

角 康之 堀 浩一 大須賀 節雄

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.9, no.1, pp.139-147, 1994-01-01

被引用文献数

46

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In this paper, we present a system for computer-aided thinking. We propose the idea of reflecting the mental world indirectly in a metric space, and thereby supporting human thinking activity such as construction and creation of new ideas. We use a method of mapping text-objects into metric spaces in order to deal with texts. Results of experiments using our implemented system, named CAT1 (Computer-Aided Thinking, version 1), are given. We show that a user of our system can get effective stimuli to his/her further thinking. The paper also gives a discussion about potential of the CAT1 to be used for group works.