著者

山田 誠二 村瀬 文彦

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.16, no.1, pp.46-54, 2001 (Released:2002-02-28)

参考文献数

12

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In this paper, we develop an organization method of page information agents for adaptive interface between a user and a Web search engine. Though a Web search engine indicates a hit list of Web pages to user’s query using a large database, they includes many useless ones. Thus a user has to select useful Web pages from them with page information indicated on the hit list, and actually fetch the Web page for investigating the relevance. Unfortunately, since the page information on a hit list is neither sufficient nor necessary for a user, the adequate information is necessary for valid selection. However which information is adequate depends on a user and a task. Hence we propose adaptive interface AOAI in which different page information agents are organized through man-machine interaction. In AOAI, the page information agents indicating different page information on a hit list like the file-size, network traffic and a page title are prepared at first. A user evaluates them through searching with a search engine, and the agents are organized based on the evaluation. As results, different organizations are achieved depending on a user and a task. Finally we make experiments with subjects and find out AOAI is promising for adaptive interface between a user and a search engine.

著者

大武 美保子

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会全国大会論文集 第22回全国大会(2008)

巻号頁・発行日

pp.233, 2008 (Released:2009-07-31)

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高齢化社会が急速に進む今日、認知症の発症を防ぎ進行を抑制する科学的手法と、これを少ないコストで効果的に実施する社会システムの双方が求められている。そこで、2007年7月に、東京大学と柏市、柏市民、企業の民産官学連携により、認知症予防回復支援サービスを開発し、高齢者を中心とするヒトの認知脳機能を解明する研究拠点「ほのぼの研究所」を開設した。会話支援システムを用いて認知症予防回復を目指す「ふれあい共想法」プログラムを開催し、記憶課題や会話計測、脳活動計測などにより、その有効性を実証している。本稿では、研究拠点の開設と、共想法における記憶課題の解析結果について報告する。

著者

畑 雅之

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会全国大会論文集 第19回全国大会(2005)

巻号頁・発行日

pp.163, 2005 (Released:2006-10-26)

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情報関連ベンチャーが多数立地する北海道、札幌周辺地域における産学連携モデルを分析する。また、民間企業の共同研究参画や情報政策への関与などを分析考察を行う。札幌バレーを中心とするIT系企業の集積地域がどのように情報政策と産学連携を推進しているのか、予算執行の実態を踏まえ報告する。

著者

飯島 勝矢 亀山 祐美 秋下 雅弘 大内 尉義 柳元 伸太郎 今井 靖 矢作 直樹 ロペズ ギヨーム 酒造 正樹 山田 一郎

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.27, no.2, pp.40-45, 2012 (Released:2012-02-01)

参考文献数

7

被引用文献数

1 1

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An increase in short-term blood pressure (BP) variability is a characteristic feature in the elderly. It makes the management of hemodynamics more difficult, because it is frequently seen disturbed baro-reflex function and increased arterial stiffness, leading to isolated systolic hypertension. Large BP variability aggravates hypertensive target organ damage and is an independent risk factor for the cardiovascular (CV) events in elderly hypertensive patients. Therefore, appropriate control in BP is indispensable to manage lifestyle-related diseases and to prevent subsequent CV events. In addition, accumulating recent reports show that excessive BP variability is also associated with a decline in cognitive function and fall in the elderly. In the clinical settings, we usually evaluate their health condition, mainly with single point BP measurement using cuff inflation. However, unfortunately we are not able to find the close changes in BP by the traditional way. Here, we can show our advantageous approach of continuous BP monitoring using newly developing device `wearable BP sensing' without a cuff stress in the elderly. The new device could reflect systolic BP and its detailed changes, in consistent with cuff-based BP measurement. Our new challenge suggests new possibility of its clinical application with high accuracy.

著者

石垣 司 竹中 毅 本村 陽一

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.26, no.6, pp.670-681, 2011 (Released:2011-10-12)

参考文献数

48

被引用文献数

8 13

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This paper describes a computational customer behavior modeling by Bayesian network with an appropriate category. Categories are generated by a heterogeneous data fusion using an ID-POS data and customer's questionnaire responses with respect to their lifestyle. We propose a latent class model that is an extension of PLSI model. In the proposed model, customers and items are classified probabilistically into some latent lifestyle categories and latent item category. We show that the performance of the proposed model is superior to that of the k-means and PLSI in terms of category mining. We produce a Bayesian network model including the customer and item categories, situations and conditions of purchases. Based on that network structure, we can systematically identify useful knowledge for use in sustainable services. In the retail service, knowledge management with point of sales data mining is integral to maintaining and improving productivity. This method provides useful knowledge based on the ID-POS data for efficient customer relationship management and can be applicable for other service industries. This method is applicable for marketing support, service modeling, and decision making in various business fields, including retail services.

著者

木村 泰知 渋木 英潔 高丸 圭一 乙武 北斗 小林 哲郎 森 辰則

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.26, no.5, pp.580-593, 2011 (Released:2011-07-20)

参考文献数

14

被引用文献数

3

---

This paper presents an automatic question generation method for a local councilor search system. Our purpose is to provide residents with information about local council activities in an easy-to-understand manner. Our designed system creates a decision tree with leaves that correspond to local councilors in order to clarify the differences in the activities of local councilors using local council minutes as the source. Moreover, our system generates questions for selecting the next branch at each condition in the decision tree. We confirmed experimentally that these questions are appropriate for the selection of branches in the decision tree.

著者

片柳 亮太 菅原 俊治

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.26, no.1, pp.76-85, 2011 (Released:2011-01-06)

参考文献数

8

被引用文献数

1

---

We propose an effective method of dynamic reorganization using reinforcement learning for the team formation in multi-agent systems (MAS). A task in MAS usually consists of a number of subtasks that require their own resources, and it has to be processed in the appropriate team whose agents have the sufficient resources. The resources required for tasks are often unknown \ extit{a priori} and it is also unknown whether their organization is appropriate to form teams for the given tasks or not. Therefore, their organization should be adopted according to the environment where agents are deployed. In this paper, we investigated how the structures of network and the number of tasks affect team formations of the agents. We will show that the utility and the success of the team formation is deeply affected by depth of the tree structure and number of tasks.

著者

加藤 昇平 鈴木 祐太 小林 朗子 小島 敏昭 伊藤 英則 本間 昭

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.26, no.2, pp.347-352, 2011 (Released:2011-01-06)

参考文献数

15

被引用文献数

3 3

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This paper presents a new trial approach to early detection of cognitive impairment in the elderly with the use of speech sound analysis and multivariate statistical technique. In this paper, we focus on the prosodic features from speech sound. Japanese 115 subjects (32 males and 83 females between ages of 38 and 99) participated in this study. We collected speech sound in a few segments of dialogue of HDS-R examination. The segments corresponds to speech sound that is answering for questions on time orientation and number backward count. Firstly, 130 prosodic features have been extracted from each of the speech sounds. These prosodic features consist of spectral and pitch features (53), formant features (56), intensity features (19), and speech rate and response time (2). Secondly, these features are refined by principal component analysis and/or feature selection. Lastly, we have calculated speech prosody-based cognitive impairment rating (SPCIR) by multiple linear regression analysis. The results indicated that there is moderately significant correlation between HDS-R score and synthesis of several selected prosodic features. Consequently, adjusted coefficient of determination R2=0.50 suggests that prosody-based speech sound analysis has possibility to screen the elderly with cognitive impairment.

著者

西原 陽子 大澤 幸生

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.25, no.3, pp.485-493, 2010 (Released:2010-04-09)

参考文献数

20

被引用文献数

3

---

We have developed a table game named Innovation Game that supports users in thinking up ideas by combining existing products. There are two kinds of players in the Innovation Game, innovators and investors. While the innovators think up ideas and propose them, the investors criticize the ideas and make decisions whether they invest money to the ideas or not. In the Innovation Game, the innovators do not only propose ideas, but also improve the ideas reflecting comments from investors that represent negative impression to the ideas. Although it has been considered that ideas invested much money might be related to negative comments from investors, the relation has not been validated. We analyzed the communications in the Innovation Game. We have found features of communication in which ideas were invested much money. After a proposal of idea by a innovator, investors give negative comments to the innovator. The innovator accepts the negative comments with positive comments and improve their ideas. Finally, the investors satisfy the idea with positive comments and invest much money to them.

著者

森田 均 藤田 米春

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会全国大会論文集 第18回全国大会(2004)

巻号頁・発行日

pp.142, 2004 (Released:2006-02-11)

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翻訳・翻案、朗読、映像化された文学作品は原テクストの解釈を明示化したものと考えられる。本研究では、これらの解釈を試作したハイパーテキストの評価に用いることにより、文学作品のハイパーテキスト化にあたっての指標を確立させる研究へと発展させることが可能であることを示す。

著者

小作 浩美 内山 将夫 井佐原 均 河野 恭之 木戸出 正継

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.19, no.4, pp.225-233, 2004 (Released:2004-05-07)

参考文献数

15

被引用文献数

3 4

---

We have been developed a support system to interactively search certain articles of users' interest on the World Wide Web (WWW) without their hesitating over query choices. Especially we have been implementing an effective application system to enable tourists to easily find special event information of their interest and to enjoy their own tours. This system also enables developers of each system to provide them with the means of easily constructing an initial database and automatically updating it. As events are generally held cyclically, we have assumed events or keywords related to the events will appear in each term. If we can extract keywords that appear cyclically in a corpus including date information, we can obtain event keywords easily. The system can extract event information using the event keywords as queries for WWW information retrieval systems, and update the database automatically. In this paper, we introduce our support system with a focus on a concept to extract event keywords and event information through the appearance of keywords periodically. We found our approach effective by some experiments.

著者

松尾 豊 福田 隼人 石塚 満

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.18, no.4, pp.203-211, 2003 (Released:2003-05-20)

参考文献数

14

被引用文献数

1 1 5

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We develop a browsing support system which learns user's interests and highlights keywords based on a user's browsing history. Monitoring the user's access to the Web enables us to detect ``familiar words'' for the user. We extract keywords at the current page, which are relevant to the familiar words, and highlight them. The relevancy is measured by the biases of co-occurrence, called IRM (Interest Relevance Measure). Our system consists of three components; a proxy server which monitors access to the Web, a frequency server which stores frequency of words in the accessed Web pages, and a keyword extraction module. We show the effectiveness of our system by experiments.

著者

平田 紀史 白松 俊 大囿 忠親 新谷 虎松

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.26, no.1, pp.228-236, 2011 (Released:2011-01-06)

参考文献数

14

---

We propose a system to offer better understanding of news articles on the Web by arranging events. To understand an article, it is necessary to consider background knowledge, details of the article, and meaning of the words. We aim to provide with a better understanding of news articles according to news articles' background by event arrangement. An event arrangement is a graph of related events. We believe that it is difficult to read and understand a topic without knowledge of related events. Arranging events by considering user's interests is necessary to support understanding of the news because each user's interests are different. The system deals with that issue by interaction between user's input and the system output. Processing time and user's interest are important to achieve our goal. The system reduces the processing time by restriction of the processing range using user's input. Event arrangement according to user interest is realized by iterating over states of event presentation and user selection. The experimental results using actual news articles show that the proposed system is effective to detect useful events for understanding news articles.

著者

グェン ミンティ 川村 隆浩 中川 博之 田原 康之 大須賀 昭彦

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.26, no.1, pp.166-178, 2011 (Released:2011-01-06)

参考文献数

31

被引用文献数

2

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In our definition, human activity can be expressed by five basic attributes: actor, action, object, time and location. The goal of this paper is describe a method to automatically extract all of the basic attributes and the transition between activities derived from sentences in Japanese web pages. However, previous work had some limitations, such as high setup costs, inability to extract all attributes, limitation on the types of sentences that can be handled, and insufficient consideration interdependency among attributes. To resolve these problems, this paper proposes a novel approach that uses conditional random fields and self-supervised learning. Given a small corpus sample as input, it automatically makes its own training data and a feature model. Based on the feature model, it automatically extracts all of the attributes and the transition between the activities in each sentence retrieved from the Web corpus. This approach treats activity extraction as a sequence labeling problem, and has advantages such as domain-independence, scalability, and does not require any human input. Since it is unnecessary to fix the number of elements in a tuple, this approach can extract all of the basic attributes and the transition between activities by making only a single pass. Additionally, by converting to simpler sentences, the approach can deal with complex sentences retrieved from the Web. In an experiment, this approach achieves high precision (activity: 88.9%, attributes: over 90%, transition: 87.5%).

著者

小川 泰右 山崎 友義 池田 満 鈴木 斎王 荒木 賢二 橋田 浩一

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.26, no.3, pp.461-472, 2011 (Released:2011-04-07)

参考文献数

30

被引用文献数

1

---

It is ideal to provide medical services as patient-oriented. The medical staff members share the final goals to recover patients. Toward the goals, each staff has practical knowledge to achieve patient-oriented medical services. But each medical staff has his/her own sense of value that comes from his/her expertness. Therefore the practical knowledge sometimes conflicts. The aim of this research is to develop an intelligent system to support externalizing practical knowledge, and sharing it among medical staff members. In this paper, the author propose a method to model the sense of value of each medical staff as his/her understanding about medical service workflow, and to obtain the practical knowledge using the models. The method was experimented by an implementation of knowledge-sharing system base on the method and by its trial use in Miyazaki University Hospital.

著者

白木 顕介 坂根 裕 杉山 岳弘 竹林 洋一

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会全国大会論文集 第18回 (2004)

巻号頁・発行日

pp.181, 2004 (Released:2006-02-11)

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DJ(Disc Jockey)と観客の音楽コミュニケーションを活性化する新しいクラブ環境をデザインした.観客のノリをDJに伝え,DJが豊かな演奏表現でそれに答えられる音楽環境をデザインすることで,DJと観客のインタラクションを活性化する.

著者

申 吉浩

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.24, no.6, pp.459-468, 2009 (Released:2009-08-07)

参考文献数

24

被引用文献数

1

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This paper proposes two frameworks to be used in engineering tree kernels. One is to ensure that the resulting tree kernels be positive semidefinite, while the other is for efficient algorithms to compute the kernels based on the dynamic programming. The first framework provides a method to construct tree kernels using primitive kernels for simpler structures (e.g. for labels, strings) as building blocks and a easy-to-check sufficient condition for the resultant tree kernels to be positive semidefinite. The second framework provides a set of templates of algorithms to calculate a wide range of tree kernels in O(|X|3) or O(|X|2)-time, where |X| denotes the number of vertices of trees.

著者

宮崎 林太郎 塚原 裕常 西村 純 前田 直人 森 辰則 小林 寛之 石川 雄介 田中 裕也 翁 松齢

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.26, no.2, pp.376-386, 2011 (Released:2011-02-08)

参考文献数

8

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In order to achieve faceted search in net auction system, several researchers have dealt with the automated extraction of attributes and their values from descriptions of exhibits. In this paper, we propose a two-staged method to improve the performance of the extraction. The proposed method is based on the following two assumptions. 1) Identifying whether or not each sentence includes the target information is easier than extracting the target information from raw plain text. 2) Extracting the target information from the sentences selected in the first stage is easier than extracting the target information from the entire raw plain text. In the first stage, the method selects each sentence in a description that is judged to have attributes and/or values. In this stage, each sentence is represented a bag-of-words-styled feature vector, and is labeled as selected or not by a classifier derived by SVM. In the second stage, the extraction of attributes and values are performed on the cleaned text that does not contain parts of description irrelevant to exhibits, like descriptions for the postage, other exhibits, and so on. In the second stage, we adopt a sequential labeling method similar to named entity recognizers. The experimental result shows that the proposed method improves both the precision and the recall in the attribute-value extraction than only using second-stage extraction method. This fact supports our assumptions.

著者

浅野 優 田中 譲

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.26, no.1, pp.248-261, 2011 (Released:2011-01-06)

参考文献数

16

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This paper describes a new framework for querying the Semantic Web using a rich vocabulary. This framework consists of two mechanisms; one for building a rich vocabulary based on lexicographic semantics, and the other for evaluating queries using such a vocabulary. A vocabulary built by the former mechanism has the following two features: (a) its richness because of its expandability and (b) the lexicographic-semantic definition of its words. Query expressions using such a rich vocabulary satisfy the following two properties: (c) no need to use nested query structures, and (d) no need to use variables. In our framework, a new word, i.e., a derived word, can be defined as a character string label given to an expression that combines already defined words with operators. This expression, or phrase, works as a lexicographic definition of this derived word. Each vocabulary consists of basic words and derived words. A lexicon of a vocabulary denotes a set of lexicographic definitions of all of its derived words. Once someone defines a lexicon of a large vocabulary with all of its basic words being mapped to an ontology of the Semantic Web, users can query this Semantic Web using this vocabulary. The same lexicon can be reused for the Semantic Web that has a different ontology if all of its basic words are newly mapped to its ontology. Use of a rich vocabulary in querying a Semantic Web simplifies the query sentence structure and removes the necessity of using variables from each query, which makes it much easier for users to query the Semantic Web. This framework provides query evaluation rules based on the proposed lexicographic semantics, which guarantees that each query using such a rich vocabulary is correctly evaluated over the underlying Semantic Web.

著者

鶴田 雅信 増山 繁

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.25, no.6, pp.742-756, 2010 (Released:2010-09-22)

参考文献数

12

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We propose an informative DOM node extraction method from a Web page for preprocessing of Web content mining. Our proposed method LM uses layout data of DOM nodes generated by a generic Web browser, and the learning set consists of hundreds of Web pages and the annotations of informative DOM nodes of those Web pages. Our method does not require large scale crawling of the whole Web site to which the target Web page belongs. We design LM so that it uses the information of the learning set more efficiently in comparison to the existing method that uses the same learning set. By experiments, we evaluate the methods obtained by combining one that consists of the method for extracting the informative DOM node both the proposed method and the existing methods, and the existing noise elimination methods: Heur removes advertisements and link-lists by some heuristics and CE removes the DOM nodes existing in the Web pages in the same Web site to which the target Web page belongs. Experimental results show that 1) LM outperforms other methods for extracting the informative DOM node, 2) the combination method (LM, {CE(10), Heur}) based on LM (precision: 0.755, recall: 0.826, F-measure: 0.746) outperforms other combination methods.