著者

芳村 圭 Kei Yoshimura

出版者

一般社団法人 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.21, no.6, pp.724-726, 2006-11-01

被引用文献数

1

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.4, pp.676-680, 2013-07-01

著者

松原 仁 山本 和彦 Hitoshi Matsubara Kazuhiko Yamamoto

出版者

一般社団法人 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.2, no.3, pp.266-272, 1987-09-01

被引用文献数

10

著者

榊 剛史 松尾 豊 Takeshi Sakaki Yutaka Matsuo

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.1, pp.67-74, 2012-01-01

著者

佐藤 健 デ・ヴォス マリナ

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.23, no.5, pp.677-686, 2008-09-01

被引用文献数

3

著者

番原 睦則 田村 直之 Mutsunori Banbara Naoyuki Tamura

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.25, no.1, pp.122-129, 2010-01-01

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

渡辺 澄夫 Sumio Watanabe

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.16, no.2, pp.308-315, 2001-03-01

参考文献数

25

被引用文献数

20

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The parameter space of a hierarchical learning machine is not a Riemannian manifold since the rank of the Fisher information metric depends on the parameter.In the previous paper, we proved that the stochastic complexity is asymptotically equal to λ log n-(m-1)log log n, where λ is a rational number, m is a natural number, and n is the number of empirical samples.Also we proved that both λ and m are calculated by resolution of singularties.However, both λ and m depend on the parameter representation and the size of the true distribution.In this paper, we study Jeffreys' prior distribution which is coordinate free, and prove that 2λ is equal to the dimension of the parameter set and m=1 independently of the parameter representation and singularities.This fact indicated that Jeffreys' prior is useful in model selection and knowledge discovery, in spite that it makes the prediction error to be larger than positive distributions.

著者

松尾 豊 Yutaka Matsuo

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.18, no.3, pp.288-294, 2003-05-01

著者

飯田 弘之 Hiroyuki Iida

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.10, no.6, pp.846-852, 1995-11-01

著者

佐倉 統 Osamu Sakura

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.20, no.1, pp.15-18, 2005-01-01

著者

松林 伸生 Nobuo Matsubayashi

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.25, no.1, pp.130-138, 2010-01-01

著者

加藤 龍 横井 浩史 Ryu Kato Hiroshi Yokoi

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.23, no.3, pp.326-333, 2008-05-01

著者

村山 立人 松尾 豊

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.18, no.1, pp.96-98, 2003-01-01

著者

ビンステッド キム 滝澤 修 Kim Binsted Osamu Takizawa

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.13, no.6, pp.920-927, 1998-11-01

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We have implemented a simple model of puns in a program (BOKE) which generates puns in Japanese, using linguistic information from a general-purpose lexicon. Our rough evaluation indicates that the puns generated by the program are of comparable quality to those generated by humans. BOKE differs from an earlier English-language system (JAPE) only in the lexicon and the templates used to generate the surface text-the punning mechanisms are the same. This suggests that our model of puns is language independent.

著者

三輪 和久 寺井 仁 Kazuhisa Miwa Hitoshi Terai

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.18, no.3, pp.275-282, 2003-05-01

著者

江原 遥 亀田 尭宙

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.25, no.4, pp.601-606, 2010-07-01

参考文献数

8

著者

森尾 博昭 Hiroaki Morio

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.24, no.4, pp.535-543, 2009-07-01

著者

辰巳 格 Itaru F. Tatsumi

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.21, no.4, pp.A1, 490-498, 2006-07-01

著者

三宅 陽一郎 Youichiro Miyake

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.23, no.1, pp.44-51, 2008-01-01