著者

和泉 潔 後藤 卓 松井 藤五郎

出版者

The Japanese Society for Artificial Intelligence

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.25, no.3, pp.383-387, 2010

被引用文献数

5 7

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In this study, we proposed a new text-mining methods for long-term market analysis. Using our method, we analyzed monthly price data of financial markets; Japanese government bond market, Japanese stock market, and the yen-dollar market. First we extracted feature vectors from monthly reports of Bank of Japan. Then, trends of each market were estimated by regression analysis using the feature vectors. As a result, determination coefficients were over 75%, and market trends were explained well by the information that was extracted from textual data. We compared the predictive power of our method among the markets. As a result, the method could estimate JGB market best and the stock market is the second.

著者

左文字 響 渡邉 真也

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

巻号頁・発行日

vol.32, no.3, pp.E-GB1_1-12, 2017

---

<p>In this paper, a new local search approach using a search history in evolutionary multi-criterion optimization (EMO) is proposed. This approach was designed by two opposite mechanisms (escaping from local optima and convergence search) and assumed to incorporate these into an usual EMO algorithm for strengthening its search ability. The main feature of this approach is to perform a high efficient search by changing these mechanisms according to the search condition. If the search situation seems to be stagnated, escape mechanism would be applied for shifting search point from this one to another one. On the other hand, if it observes no sign of the improvement of solutions after repeating this escape mechanism for a fixed period, convergence mechanism is applied to improve the quality of solution through an intensive local search. This paper presents a new approach, called "escaping from local optima and convergence mechanisms based on search history - SPLASH -". Experimental results showed the effectiveness of SPLASH and the workings of SPLASH's two mechanisms using WFG test suites.</p>

著者

王 元元 丸山 直樹 河合 由起子 秋山 豊和 角谷 和俊

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.32, no.1, pp.WII-I_1-11, 2017-01-06 (Released:2017-01-25)

参考文献数

19

被引用文献数

1

---

Twitter evidently stirred a popular trend of personal update sharing. Twitter users can be kept up to date with current information from Twitter; however, users cannot obtain the most recent information, while they browse web pages since these are not updated in real time. Meanwhile, there are many events happen at any time such as crowded restaurants and time sales in different floors or areas at composite facilities in urban areas. To solve them, it is thought that an appropriate method is to detect tweets of small-scale facilities at a composite facility to enrich their traditional web pages. Therefore, we developed a tweet visualization system to support users grasp event happens over time and space from tweets while they browse any web pages based on spatio-temporal analysis of tweets. In order to detect and analyze tweets of a composite facility, the system maps geo-tagged tweets to web pages by matching their location names, and classifies the tweets into different categories of small-scale facilities by utilizing machine learning algorithms. Thus, the system can visualize tweets in a tag cloud is associated with a web page to help users immediately gain a quick overview of events through space and time while they browse this web page, and it can also effectively present a list of most related tweets to help users obtain more detailed information about events. In this paper, we discuss our spatio-temporal analysis method and we have also included an evaluation of tweet classification into small-scale facilities and tag cloud generation that feature words of tweets are changed over time.

著者

伊藤 詩乃 田中 佑岳 狩野 芳伸 榊原 康文

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

巻号頁・発行日

vol.32, no.2, pp.F-AI30Ge_1-10, 2017

---

<p>31 巻6 号AI30-G(2016 年)の論文において、本文引用箇所がすべて[?]として公開されているため、正しい情報を次ページより掲載します.</p>

著者

吉澤 大樹 橋本 周司

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.3, pp.309-315, 2001 (Released:2002-02-28)

参考文献数

12

被引用文献数

1 3

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This paper shows statistical analyses of the search-space landscape of travelling salesman problems in due consideration of stochastic optimization. It is known from existing works that travelling salesman problems have landscape called “a rugged landscape” and “big valley structure”. This work reveals more detailed structure of the landscape. We deal with the 1000 travelling salesman problems of 6 to 9 cities where the cities are arranged randomly and a travelling salesman problem of 100 cities. It is assumed that the rugged landscape is a combination of the global valleylike structure and the local noiselike structure. Each of them is characterized by the statistical properties of the search-space landscape, that is, the global valleylike structure has linearity with the distance (in this case, the bond distance) from the optimum, and the variance of the local noiselike structure increase monotonously with the distance from the optimum. On the other side correlation of the tours with the costs close upon the optimum cost is low. For this reason to combine the genetic search with the local search is supported. Even if the number of cities and the definition of the intercity cost value are changed, the structure of the landscape has the same feature. Although the number of the cities of the examined travelling salesman problems is not large, obtained results seem to be universal. It is forecasted that not only travelling salesman problems but also many practical problems have the structure which is characterized with the same measure. These results are useful to compose more effective optimization methods without trial and error.

著者

飯塚 修平 松尾 豊

出版者

The Japanese Society for Artificial Intelligence

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.29, no.5, pp.460-468, 2014

被引用文献数

1

---

Webpage optimization is an experimental method to make continuous improvements on websites based on users behavior. This method can be implemented easily but has a drawback that small websites take long time to gather enough data to evaluate the ideas. Although many optimization methods are proposed and conducted so far, theres no mathematical model of this problem. We propose Webpage Optimization Problem and organize existing webpage optimization methods. Combining these methods, we also propose a new webpage optimization method that performs well no matter how many people get to the website. We evaluate the proposal method by simulation experiments and introducing the optimization program to both large and small websites. The results show that our proposal method outperforms existing methods at any size of websites. Webpage Optimization Problem is a framework to create new webpage optimization methods.

著者

西銘 大喜 遠藤 聡志 當間 愛晃 山田 孝治 赤嶺 有平

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

巻号頁・発行日

vol.32, no.5, pp.F-H34_1-8, 2017

被引用文献数

6

---

<p>Facial expressions play an important role in communication as much as words. In facial expression recognition by human, it is difficult to uniquely judge, because facial expression has the sway of recognition by individual difference and subjective recognition. Therefore, it is difficult to evaluate the reliability of the result from recognition accuracy alone, and the analysis for explaining the result and feature learned by Convolutional Neural Networks (CNN) will be considered important. In this study, we carried out the facial expression recognition from facial expression images using CNN. In addition, we analysed CNN for understanding learned features and prediction results. Emotions we focused on are "happiness", "sadness", "surprise", "anger", "disgust", "fear" and "neutral". As a result, using 32286 facial expression images, have obtained an emotion recognition score of about 57%; for two emotions (Happiness, Surprise) the recognition score exceeded 70%, but Anger and Fear was less than 50%. In the analysis of CNN, we focused on the learning process, input and intermediate layer. Analysis of the learning progress confirmed that increased data can be recognised in the following order "happiness", "surprise", "neutral", "anger", "disgust", "sadness" and "fear". From the analysis result of the input and intermediate layer, we confirmed that the feature of the eyes and mouth strongly influence the facial expression recognition, and intermediate layer neurons had active patterns corresponding to facial expressions, and also these activate patterns do not respond to partial features of facial expressions. From these results, we concluded that CNN has learned the partial features of eyes and mouth from input, and recognise the facial expression using hidden layer units having the area corresponding to each facial expression.</p>

著者

山下 諒 朴 炳宣 松下 光範

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

巻号頁・発行日

vol.32, no.1, pp.WII-D_1-11, 2017

---

<p>The purpose of this research is supporting information access based on the contents of comic books. To meet this purpose, it is necessary to obtain information related to the story and the characters of a comic. We propose a method to extract information from reviews on the Web by using term frequency-inversed document frequency (TFIDF) method and hierarchical Latent Dirichlet Allocation (hLDA) method, which intends to solve the problem. By using these methods, we build a prototype system for exploratory comic search. We conducted a user study to observe how a participant use the system. The user study showed that the system successfully supported the participants to find interesting unread comics.</p>

著者

ジメネス フェリックス 加納 政芳 吉川 大弘 古橋 武

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.32, no.2, pp.D-G51_1-12, 2017-03-01 (Released:2017-03-01)

参考文献数

29

---

This paper sought to examine how behavior of a robot can prompt learning by observing in collaborative learning. The robot learns while solving a problem issued by an English vocabulary learning system with a human learner. The learning system presents English words in example sentences and uses a scaffolding function that helps the learner guess the meaning of English words in the example sentence upon a user request. The robot was designed to solve the questions by using scaffolding function and could not answer correctly at beginning. However, the robot change its question-answering method by guessing the meanings of English words in example sentences and improve its accuracy as learning progressed. This behavior of robot can prompt learners to learn by observing in collaborative learning. Ten college students with low level English learned using the English vocabulary learning system with robot for two months and were videoed during that time to see how they learned. We found that learners learned the English vocabulary by using scaffolding function at beginning. However, learners changed their learning method form using scaffolding function to guessing the meanings of English words in English sentences by learning progress. This suggests that robot, which changes the question-solving method to a more effective one and increases its accuracy rate as learning progress, prompts learners to learning by observing in collaborative learning and change their learning method to the more effective one. This learning by observing indicates that learners learn how to guess the meanings of English words in English sentences by observing the robot’s question-solving and speaking. However, the robot does not prompt some learners to learning by observing because they feel lousy that the robot answers the question and improves its accuracy rate, so they ignore what the robot says. Additionally, learners interest in robot decrease when robot performs the same action.

著者

山本 祐輔 嶋田 敏

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.32, no.1, pp.WII-L_1-12, 2017-01-06 (Released:2017-01-20)

参考文献数

24

被引用文献数

2

---

During web search and browsing, people often accept misinformation due to their inattention to information credibility and biases. To obtain correct web information and support effective decision making, it is important to enhance searcher credibility assessment and develop algorithms to detect suspicious information. In this paper, we investigate how credibility alarms for web search results affect searcher behavior and decision making in information access systems. This study focuses on disputed topic suggestion as a credibility alarm approach. We conducted an online user study in which 92 participants performed a search task for health information. Through log analysis and user surveys, we confirmed the following. (1) Disputed topic suggestion in a search results list makes participants spend more time browsing pages than ordinary search conditions, thereby promoting careful information seeking. (2) Disputed topic suggestion during web browsing does not change participant behaviors but works as complementary information. This study contributes to system designs to enhance user engagement in critical and careful information seeking.

著者

鍵谷 龍樹 白川 由貴 土斐崎 龍一 渡邊 淳司 丸谷 和史 河邉 隆寛 坂本 真樹

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.30, no.1, pp.237-245, 2015-01-06 (Released:2015-01-06)

参考文献数

25

被引用文献数

1

---

We feel some liquids such as honey or oil more viscous than others like water. Viscosity perception is frequently expressed by onomatopoeia, a set of words that are often used to express sensory experiences in Japanese. For example, we would say honey is “toro-toro” or oil is “doro-doro”. In this paper we investigated the associations between phonemes of Japanese onomatopoeia for expressing viscosity and subjective evaluations of viscosity. Specifically, we performed psychological experiments where participants watched some static images and dynamic images. Participants were asked to express the visual sensations by onomatopoeia and rate the degree to which they felt the objects viscous. This experiment was aimed at specifying the systematic association between phonemes of Japanese onomatopoeic words and viscous evaluations. Our results showed the existence of some associations between the phonemes of the words for expressing the sensation and the evaluations of viscosity and showed the possibility to construct a system to recommend viscosity animations by onomatopoeia. The system proposed in this paper recommends viscosity animations consistent with onomatopoetic expressions based on Japanese sound symbolism. Our system comprises a user interface module, an onomatopoeia parsing module, and a database. Our system can evaluate the subtle difference in viscosity feelings expressed by onomatopoeic words which are different in phonemes.

著者

西村 悟史 大谷 博 畠山 直人 長谷部 希恵子 福田 賢一郎 來村 徳信 溝口 理一郎 西村 拓一

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.32, no.4, pp.C-G95_1-15, 2017-07-01 (Released:2017-07-03)

参考文献数

17

被引用文献数

4

---

The amount of costs for long-term care is increasing because of aging society. It is important to improve quality of care process. We focus on sharing the knowledge of care process in care facility to achieve the goal. There are some issues to share the knowledge. (1) The knowledge is implicit on the care workers. (2) It is difficult to unite the knowledge as world standard because of its variety. We proposed the methodology of "knowledge explication" to overcome these issues. The methodology is (1) to explicate the knowledge of care process by employees in care facility. (2) It is performed on each care facility so they can explicate the facility-specific knowledge of care process. We applied the methodology to two care facilities and evaluate it. The explicated knowledge is 1.8 times more than the knowledge from textbook. We also confirmed the efficiency of the methodology by questionnaire to the participants.

著者

佐藤 晃矢 岡 瑞起 橋本 康弘 加藤 和彦

出版者

The Japanese Society for Artificial Intelligence

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.30, no.5, pp.667-674, 2015

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Social Tagging System (STS) which is one of the content management techniques is widely adopted in the online content sharing service. Using STS, users can give any strings (tags) to contents as annotations. It is important to know the usage of tag statistics for accomplishing an effective database design and the information navigation. The frequency of tag usage as well as their dynamics are similar to the ones found in the natural language. It is possible to reproduce the branching process of the tag dynamics using a classical model called Yule-Simon process. Another characteristic aspect of tags is the tag co-occurrence generated from the simultaneous use of tags. Using the tag co-occurrence, STS is able to reconstitute the hierarchy of tags, and recommend the tag which is probably used next. However, Yule-Simon process does not consider the tag co-occurrence and thus how the tag co-occurrence is generated from the model like Yule-Simon has not been addressed yet. In this paper, we propose to expand the Yule-Simon process to model the tag co-occurrence. From the point of view of network hierarchy, we confirm the similarity in the structure of the tag co-occurrence with the empirical data obtained from a social network service called 'RoomClip'. The present result suggested that this simple model like extended Yule-Simon process generates the tag co-occurrence feature.

著者

石橋 賢 深瀧 創 宮田 一乘

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.30, no.1, pp.229-236, 2015-01-06 (Released:2015-01-06)

参考文献数

13

被引用文献数

4

---

Recently, sizzle words have been utilized for various product packages. These words have effective communicative performance to convey deliciousness of food. In particular, onomatopoeias are used for many product packages because they can convey the texture of food sensuously. When using sizzle words, producers may consider consumers' impressions. This study aims to investigate the relations between consumers' impressions and sizzle words through an experiment. The experimental targets were four rice crackers of different hardness because their textures were directly related to consumers' impressions and some packages of rice crackers used a few sizzle words for advertising. The results of this experiment indicated five tendencies: (1) the sizzle words regarding satisfaction, tradition, and typicality, and the onomatopoeias including “zaku” are appropriate for an extremely hard rice cracker; (2) the sizzle words regarding lightness and comfort, and the onomatopoeias including “saku” are appropriate for a non-hard rice cracker; (3) the sizzle words regarding aridity, fineness, and unforgettable taste are appropriate for a slightly hard rice cracker; (4) the onomatopoeias expressing crunchy texture are appropriate for a quite hard rice cracker; (5) rough texture of food brings a sense of satiety. In addition, we performed a factor analysis using the results with 14 onomatopoeias in the experiment. The analysis results showed three factors: brittleness, irritation, and lightness. In future, we expect that these results can be utilized for guiding a choice of an appropriate sizzle word.

著者

前野 義晴 森永 聡 松島 宏和 天谷 健一

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.27, no.6, pp.338-345, 2012 (Released:2012-10-02)

参考文献数

21

被引用文献数

1 2

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This study presents a computer simulation model to analyze the risk of transmission of financial distress in a bank credit network and the knock-on defaults of banks. The impact is quantified, which is imposed on the number of defaults by the topology of the bank credit network, the balance sheet of banks including equity capital ratio, and the capital surcharge on big banks.

著者

増田 壮志 古崎 晃司

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.32, no.2, pp.E-G71_1-10, 2017-03-01 (Released:2017-03-01)

参考文献数

17

---

Ontologies are currently constructed in various fields, such as life sciences, medical information, and sustainability science. These ontologies are used as knowledge bases and knowledge models for application systems. However, it is difficult to build high quality ontologies due to the necessity of having both knowledge of ontology and expertise in the target domain. Therefore, ontology construction and maintenance costs considerable time and effort. To reduce such costs, we developed an ontology refinement support method. To test and confirm this refinement method, we focused on the guideline for building well-organized ontologies that“ Each subclass of a super class is distinguished by the values of exactly one attribute of the super class. ”Then, we discovered that there is a similarity between is-a hierarchies when an ontology is built following this guideline and made the hypothesis that, if subclasses are not classified by one attribute, there are consistency errors in the ontology that can be automatically fixed by a comparison method of is-a hierarchies. To test this hypothesis, we conducted an experiment to evaluate the refinement method. We asked nine experienced evaluators to build the ontology and used 150 refinement proposals. As a result, we found that at most 90% of the refinement candidates could be further refined and that at most approximately 50% of the refinement proposals are appropriate to apply to ontologies.

著者

山下 諒 朴 炳宣 松下 光範

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.32, no.1, pp.WII-D_1-11, 2017-01-06 (Released:2017-01-20)

参考文献数

29

---

The purpose of this research is supporting information access based on the contents of comic books. To meet this purpose, it is necessary to obtain information related to the story and the characters of a comic. We propose a method to extract information from reviews on the Web by using term frequency-inversed document frequency (TFIDF) method and hierarchical Latent Dirichlet Allocation (hLDA) method, which intends to solve the problem. By using these methods, we build a prototype system for exploratory comic search. We conducted a user study to observe how a participant use the system. The user study showed that the system successfully supported the participants to find interesting unread comics.

著者

大谷 世紀 山西 良典 岩堀 祐之

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.32, no.1, pp.WII-N_1-10, 2017-01-06 (Released:2017-01-20)

参考文献数

17

被引用文献数

3

---

Image database is one of the important research topics in image recognition. A manual collection of images would causes biased collection and a lot of human efforts. Huge image database where varied and many unbiased objects are stored is required for the image learning. Recent researches for image database try to automatically/semiautomatically generate image database. Here, it is important to remove noise images and this paper proposes an automatic generation method of the Web image database. The proposed method uses noise image removal by visual feature and semantic feature in a hybrid. However, which type of features, and how to combine the two types of feature are not clear and should be investigated. In this paper, six kinds of noise image detection method are prepared: The method using visual feature, the method using semantic feature, two methods using both features in parallel and two methods using both features in serial. Through the comparison in experiments, it was confirmed that the method using both visual and semantic features in parallel focusing on noise images showed over 82% Precision values,76% Recall values and 77% Fmeasure values in average. Also, the usability of the generated database for image recognition was confirmed through the experiments; It was equal to or higher than the human-made database. It was confirmed that the proposed method constructed precise image database full-automatically.

著者

松村 真宏 大澤 幸生 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.17, no.3, pp.259-267, 2002 (Released:2002-04-25)

参考文献数

14

被引用文献数

13 36

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Business people, especially marketing researchers, are keen to understand peoples' potential sense of value to create fascinating topics stimulating peoples' interest. In this paper, we aim at finding influential people, comments, and terms contributing the discovery of such topics. For this purpose, we propose an Influence Diffusion Model in text-based communication, where the influence of people, comments, and terms are defined as the degree of text-based relevance of messages. We apply this model to Bulletin Board Service(BBS) on the Internet, and present our discoveries on experimental evaluations.

著者

菊地 剛正 國上 真章 山田 隆志 高橋 大志 寺野 隆雄

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.31, no.6, pp.AG-G_1-11, 2016-11-01 (Released:2016-11-02)

参考文献数

33

被引用文献数

2

---

Since systemic risk in recent financial crisis has received attention, a wide variety of studies on how financial regulations should be reformed to control such risk have been progressed. Among these, mathematical and computational studies have analyzed the way how the borrowing and lending banks and the borrowers go bankrupt in the chain via interbanking network. This study deals with a chain of bankruptcies of financial institutions endogenously caused by deterioration of their financial situations from the changes in prices of risky assets by focusing on the macro-level collapse caused by the shock stemming from the general market risk factors addressed in theoretical studies after the crisis in 2008. For this purpose, the authors develop an agent-based simulation platform and then examine how current systemic management regulations affect corresponding bankruptcies. The main findings are as follows: First, pertinent management regulations are dependent on the market environment. Second, some combination of management regulations may increase the possibilities of bankruptcies due to more sensitivity toward the market change.