著者

鈴木 宏昭

出版者

The Japanese Society for Artificial Intelligence

雑誌

人工知能学会論文誌 = Transactions of the Japanese Society for Artificial Intelligence : AI (ISSN:13460714)

巻号頁・発行日

vol.19, pp.145-153, 2004-11-01

被引用文献数

6 1

---

The dynamic constraint relaxation theory predicts crucial roles of the initial diversity and evaluation in creative problem-solving. We reported the experimental evidence supporting these predictions, using an insight problem. The experiments showed that the degrees of making different types of trials and the appropriate evaluation were closely related to individual differences in insight problem-solving, and that evaluation became more appropriate by making the problem-solving goal explicit. The review of the research in related fields showed that these experimental findings were in congruent with the evidence obtained from different types of creative activities.

著者

髙橋 寛治 竹野 峻輔 山本 和英

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.5, pp.D-H33_1-4, 2017-09-01 (Released:2017-09-01)

参考文献数

7

被引用文献数

1

---

This paper presents a novel metric for evaluating stability of machine translation system. A stable system indicates that it keeps almost the same outputs given the inputs with slight changes. In this paper, we propose a stability metric by exploiting TER metric for evaluating the differences between the two texts. We have built an evaluation data set, and demonstrate that a neural-based method is unstable rather than a statistical-based method, while the former outperforms the latter.

著者

Kenichi Yoshida Akito Sakurai

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.5, pp.683-692, 2015-09-01 (Released:2015-09-15)

参考文献数

24

被引用文献数

1

---

Efficient market hypothesis is widely accepted in financial market studies and entails the unpredictability of future stock prices. In this study, we show that a simple analysis can classify short-term stock price changes with an 82.9% accuracy. Our analysis uses the order book information of high-frequency trading. The volume of high-frequency trading, which is responsible for short-term stock price changes, is increasing dramatically; therefore, our study suggests the importance of analyzing short-term market fluctuations, an aspect that is not well studied in conventional market theories. The experimental results also suggest the importance of the new data representation and analysis methods we propose, neither of which have been thoroughly investigated in conventional financial studies.

著者

徳久 良子 寺嶌 立太

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 = Transactions of the Japanese Society for Artificial Intelligence : AI (ISSN:13460714)

巻号頁・発行日

vol.21, pp.133-142, 2006-11-01

参考文献数

16

被引用文献数

6 5 1

---

The performance of a non-task-oriented conversational dialogue system greatly depends on whether it can generate high involvement during conversation with users. In this paper, we clarify the types of utterances concerning involvement in human-human conversational dialogue. First, we define Dialogue Acts(DAs) and Rhetorical Relations(RRs), and propose a method for measuring ``Involvement''. Next, we show that the inter-annotator agreement on these tag schemes is quite high. Finally, we investigate the relationship between DAs/RRs and Involvement. We found that affective utterances and cooperative utterances are significant to generate high involvement in conversational dialogue.

著者

水田 孝信 八木 勲 和泉 潔

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.320-327, 2012 (Released:2012-09-27)

参考文献数

37

被引用文献数

1 3

---

We develop a theoretical model to evaluate settings of artificial markets considering a realistic pricing mechanism. We show the model can evaluate the settings in an environment in which a dynamic micro mechanism plays an important role, for example, a price rebound after a sharp fall in stock markets. Styled facts, which are statistics for long term, can not evaluate such a dynamic situation. We emphasis that such a dynamic situation which the styled facts can not evaluates is very important to analyze market crush and/or market regulations.

著者

村上 知子 鳥居 健太郎 長 健太 内平 直志

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.29, no.5, pp.427-435, 2014-09-01 (Released:2014-07-25)

参考文献数

33

被引用文献数

2 3 1

---

Thanks to the popularization of information and communication technology, the nurses work using mobile devices to communicate with co-workers and record nursing care at hospital. In this paper, aiming to facilitate nursing care, we propose a method to recognize nursing work activities by using topic models from acceleration data stored in mobile devices and knowledge of the work. In contrast to simple tasks such as walking or running, working activities are more difficult to recognize because of their complexity and length. To address this difficulty, we define the system composed of two layers, simple task recognition layer and working activity recognition layer, based on the assumption that work activities consist of a probabilistic combination of various simple tasks. In the simple task recognition layer, the system first recognizes simple task by applying supervised learning techniques to time-domain features extracted from sensor data. Then it recognizes working activities by applying topic models to simple tasks and annotation with knowledge of nursing work. We conducted an experiment at a hospital and collected nursing activity data for 96 hours by 12 nurses as a result. Using those data, we show that our method surpasses the conventional methods in recognizing nursing activities.

著者

佐々木 謙太朗 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.30, no.2, pp.466-472, 2015-03-01 (Released:2015-02-03)

参考文献数

15

---

This paper proposes a mixture model that considers dependence to multiple topics. In time series documents such as news, blog articles, and SNS user posts, topics evolve with depending on one another, and they can die out, be born, merge, or split at any time. The conventional models cannot model the evolution of all of the above aspects because they assume that each topic depends on only one previous topic. In this paper, we propose a new mixture model which assumes that a topic depends on previous multiple topics. This paper shows that the proposed model can capture the topic evolution of death, birth, merger, and split and can model time series documents more adequately than the conventional models.

著者

杉本 直也 坂本 栄里奈 伊庭 斉志

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.6, pp.450-459, 2004 (Released:2004-08-10)

参考文献数

12

被引用文献数

2 1

---

The ordinary differential equations (ODEs) are used as a mathematical method for the sake of modeling a complicated nonlinear system. This approach is well-known to be useful for the practical application, e.g., bioinformatics, chemical reaction models, controlling theory etc. In this paper, we propose a new evolutionary method by which to make inference of a system of ODEs. To explore the search space more effectively in the course of evolution, the right-hand sides of ODEs are inferred by Genetic Programming (GP) and the least mean square (LMS) method is used along with the ordinary GP. We apply our method to several target tasks and empirically show how successfully GP infers the systems of ODEs. We also describe how our approach is extended to solve the inference of a differential equation system including transdential functions.

著者

名倉 卓弥 秋山 英三

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.38, no.4, pp.B-N11_1-9, 2023-07-01 (Released:2023-07-01)

参考文献数

28

---

Communication through SNS (Social Networking Services) and function of SNS platform can cause two phenomena polarization and echo chambers. In previous study [sasahara 21] about the communication on SNSs regarding a single topic, it has been shown that there is a correlation between these two phenomena and also that SNS functions facilitate the occurrence of these phenomena. In this study, focusing on the fact that real SNS users often deal with multiple topics on a daily basis, we analyzed an agent-based model of SNS communication regarding multiple topics. The analysis revealed that polarization of opinions occurs even when the number of topics increases but that echo chambers are less likely to occur as the number of topics increases. We have also found that there is little correlation between polarization and echo chamber under the condition with more than certain number of topics. Additionally, some functions of SNS such as user recommendations and reposts was found to facilitate echo chambers regardless of the number of topics. This result implies that the findings of previous research are robust even in multiple topics environment. These results suggest that topic diversity and function of SNS platform amendment may be a means of reducing the occurrence of echo chambers. In this model, we cannot take into account the impact of an individual’s interest in a specific topic on such as unfollowing behavior. In future research, we should expand our model to implement these user’s real behavior.

著者

飯塚 海斗 大塚 和弘

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.38, no.3, pp.J-M91_1-17, 2023-05-01 (Released:2023-05-01)

参考文献数

37

---

A novel machine learning framework is proposed to automatically recognize the synergetic functions of the Aizuchi and the head movements of listeners in conversations. The listeners’ head movements, such as nodding, and Aizuchi, i.e., listeners’ short back-channel utterances, play a variety of functions, such as expressing the sign of listening, agreement, and emotions. This paper presents a functional Aizuchi corpus and analyzes it with the functional head-movement corpus that the authors have previously created. The analysis reveals the synergetic relationship between Aizuchi and head movements including reinforcement, multiplexing, and complementary. Then, this paper defines a functional category system called synergetic functions, which classifies reinforcement and multiplexing as product functions and complementary as sum functions. Next, several models using convolutional neural networks (CNNs) are designed to recognize such synergetic functions from the time series of the prosodic features and the head pose of the listeners. More specifically, we compare some different architectures, which employ early/late feature fusions and single/two-stage decision-making. The experimental results shows the proposed models achieved the maximum F1-score of 0.71 for the product function of Aizuchi’s continuer and head movement back-channel and that of 0.88 for a sum function called back-channel acknowledgment that was complementarily expressed by head movements and Aizuchi. These results confirms the potential of the proposed framework.

著者

赤石 美奈

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.21, no.5, pp.428-438, 2006 (Released:2006-06-27)

参考文献数

20

被引用文献数

5 11 5

---

This paper proposes a framework to access information based on a narrative structure of documents. This framework consists of two processes. The one is to decompose existing documents into smaller units. The other process is combining unit components into a new story taking on a new meaning based on a context. In this paper, a narrative structure for documents is modeled as follows. A story corresponding to a document is regarded as a sequence of scenes. A scene is a chunk of sentences. A sentence is mapped into a set of terms in the sentence. Decomposition process gives two mechanisms to decompose a story into scenes. Composition process shows four patterns to connect scenes. Both techniques to decompose/compose a story are based on the notions of term dependency and term attractiveness. This paper also showes visualization tools to express the narrative structure for documents. Word Colony overviews content of a story as a directed graph representing the relation among term dependency. Topic Sequence is also directed graph to show the sequence of scenes along a story plot. The basis of these visualization techniques is the notions of term dependency and term attractiveness. They show the variety of understandings of the same documents.

著者

松尾 豊 安田 雪

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.22, no.5, pp.531-541, 2007 (Released:2007-07-17)

参考文献数

22

被引用文献数

10 12 28

---

Our purpose here is to (1) investigate the structure of the personal networks developed on mixi, a Japanese social networking service (SNS), and (2) to consider the governing mechanism which guides participants of a SNS to form an aggregate network. Our findings are as follows:the clustering coefficient of the network is as high as 0.33 while the characteristic path lenght is as low as 5.5. A network among central users (over 300 edges) consist of two cliques, which seems to be very fragile. Community-affiliation network suggests there are several easy-entry communities which later lead users to more high-entry, unique-theme communities. The analysis on connectedness within a community reveals the importance of real-world interaction. Lastly, we depict a probable image of the entire ecology on {\\em mixi} among users and communities, which contributes broadly to social systems on the Web.

著者

星野 真広 水田 孝信 八木 勲

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.36, no.5, pp.AG21-G_1-10, 2021-09-01 (Released:2021-09-01)

参考文献数

23

被引用文献数

1

---

Recently, most stock exchanges in the U.S. employ maker-taker fees, in which an exchange pays rebates to traders placing make orders (remaining on an order book) and charges fees to traders taking orders (executed immediately). The maker-taker fees will encourage traders to place many make orders and the orders will provide liquidity to the exchange. However, the effects of the maker-taker fees for a total cost of a taking order, including all the charged fees and market impact, are not clear. In this study, we investigated the effects of the maker-taker fees for the total costs of a taking orders using our artificial market model, which is an agent-based model for financial markets. In addition, we examine the difference of market liquidity in the market between with and without a makertaker fee structure. We found that the maker-taker fees encourage the traders to provide liquidity, whereas increase the total costs of taking orders. Furthermore, we found market liquidity improved when the market maker rebates increased.

著者

山田 奉子 上田 洋 村上 晴美 岡 育生

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.33, no.4, pp.A-H91_1-13, 2018-07-01 (Released:2018-07-02)

参考文献数

24

被引用文献数

1

---

Recently the importance of mathematical information retrieval (MIR) has been recognized and various methods for mathematical expression retrieval have also been proposed. However, since mathematical expressions on the Web are not annotated with natural language, searching for mathematical expressions by conventional search engines is difficult. For helping people in various fields who use mathematics as a learning tool, our proposed method performs a Web search using a mathematical term as a query, extracts mathematical expression images (math-images) related to the query from the obtained Web pages, and presents the top ten math-images with their surrounding information. The method measures the relevance between a query and a math-image from the following viewpoints: the math-image is in a separate line, it has the query in the neighborhood and appropriate image feature quantities, and it appears in the first part of the Web page. We use a support vector machine to discriminate if the image provides appropriate feature quantities. We conducted two experiments with our proposed method. We determined its scoring parameters in Experiment 1 and evaluated it in Experiment 2. The results revealed the usefulness of our proposed method with accuracy, recall, F-measure, mean reciprocal rank (MRR), and mean average precision (MAP).

著者

仲村 哲明 内海 彰 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.27, no.3, pp.163-175, 2012 (Released:2012-03-27)

参考文献数

22

被引用文献数

1

---

Various methods for music retrieval have been proposed. Recently, many researchers are tackling developing methods based on the relationship between music and feelings. In our previous psychological study, we found that there was a significant correlation between colors evoked from songs and colors evoked only from lyrics, and showed that the music retrieval system using lyrics could be developed. In this paper, we focus on the relationship among music, lyrics and colors, and propose a music retrieval method using colors as queries and analyzing lyrics. This method estimates colors evoked from songs by analyzing lyrics of the songs. On the first step of our method, words associated with colors are extracted from lyrics. We assumed two types of methods to extract words associated with colors. In the one of two methods, the words are extracted based on the result of a psychological experiment. In the other method, in addition to the words extracted based on the result of the psychological experiment, the words from corpora for the Latent Semantic Analysis are extracted. On the second step, colors evoked from the extracted words are compounded, and the compounded colors are regarded as those evoked from the song. On the last step, colors as queries are compared with colors estimated from lyrics, and the list of songs is presented based on similarities. We evaluated the two methods described above and found that the method based on the psychological experiment and corpora performed better than the method only based on the psychological experiment. As a result, we showed that the method using colors as queries and analyzing lyrics is effective for music retrieval.

著者

加納 隼人 佐藤 理史 松崎 拓也

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 (ISSN:13460714)

巻号頁・発行日

vol.32, no.1, pp.C-G61_1-11, 2017-01-06 (Released:2017-01-13)

参考文献数

20

---

This paper reports progress from 2014 to 2015 on development of solvers of Japanese comprehension questions in university entrance exam. Target questions are the multiple-choice questions in the essay section (Question No.1) in Japanese Language (Kokugo) of National Center Test. In 2014, we introduced a new scoring function using clause boundaries, which are automatically detected by our newly developed tool. The score of a choice is calculated as the average clause-similarity between the choice and a selected part of text body. In 2015, we developed a machinelearning based method, which uses seventeen features to determine the answer. They includes surface-similarity based features, clause-similarity based features, and choice-discriminative features. In addtion to the first formal run of Torobo Project in 2013, we participated in the two formal runs in 2014 and 2015; We were only a participant who submitted the result in Contemporary Japanese Language until now. After the 2015 formal run, we conducted an experiment using 276 questions to compare all developed solvers with various parameters. The best performance was obtained by a 2015 solver, which produced 117 (42%) correct answers. For the subset of 56 previous official questions in National Center Test, a 2014 solver was the best, which produced 32 (57%) correct answers. However, there is no statistical significance between the best 2015 solver and our first solver developed in 2013.

著者

大澤 昇平 松尾 豊

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

pp.A-F24, (Released:2016-01-06)

参考文献数

22

---

Success of software developping project depend on skills of developers in the teams, however, predicting such skills is not a obvious problem. In crowd sourcing services, such level of the skills is rated by the users. This paper aims to predict the rating by integrating open source software (OSS) communities and crowd soursing services. We show that the problem is reduced into the feature construction problem from OSS communities and proposes the s-index, which abstract the level of skills of the developers based on the developed projects. Specifically, we inetgrate oDesk (a crowd sourcing service) and GitHub (an OSS community), and construct prediction model by using the ratings from oDesk as a training data. The experimental result shows that our method outperforms the models without s-index for the aspect of nDCG.

著者

清水 仁 松林 達史 納谷 太 澤田 宏

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.34, no.5, pp.wd-B_1-8, 2019-09-01 (Released:2019-09-01)

参考文献数

33

---

The theme park problem is a platform where methods of guiding visitors to relieve congestion are developed and evaluated by reproducing a crowded theme park on a computer. In the theme park problem, the attraction selection model is an important element in the simulator. In previous studies, multinomial logit model was mainly used for attraction selection. However, when we observed real amusement parks, we found that we can not reproduce the characteristics of waiting time of real attraction by this model. In this research, we propose a multinomial linear model as a model of attraction selection. This model can express the rational behavior of visitors that waits for a while when waiting times of all attractions are too long for them. We showed that this model can reproduce characteristics of waiting time using multiagent simulator (MAS). We also developed a method to estimate the parameters of the proposed model from the aggregated data of the output of MAS. As a result of numerical experiments, it was confirmed that the performance of the parameter estimation was good. The proposed model and method for parameter estimation can be applied not only to the theme park problem but also to various problems related to human behavior of selection.

著者

酒井 浩之 西沢 裕子 松並 祥吾 坂地 泰紀

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.172-182, 2015-01-06 (Released:2015-01-06)

参考文献数

13

被引用文献数

4

---

In this paper, we propose a method of extracting causal information from PDF files of the summary of financial statements of companies, e.g., ''The sales of smart phones was expanded continually''. Cause information is useful for investors in selecting companies to invest. We downloaded 106,885 PDF files of the summary of financial statements of companies from Web pages of the companies automatically. Our method extracts causal information from the PDF files by using clue expressions (e.g., ''was expanded'') and keywords relevant to a company. The clue expressions are extracted from the PDF files of the summary of financial statements of companies and articles concerning business performance of companies automatically. We developed the search system which is able to retrieve causal informations extracted by our method. The search system shows causal information containing a keyword inputted by users, and the summary of financial statements containing the retrieved causal information. We evaluated our method and it attained 83.91% precision and 55.04% recall, respectively. Moreover, we compared our method with Sakai et al's method originally proposed for extracting causal information from financial articles concerning business performance of companies and experimental results showed that our method outperforms Sakai et al's method.

著者

池田 大介 高村 大也 奥村 学

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.1, pp.50-57, 2010 (Released:2010-01-06)

参考文献数

23

被引用文献数

2 6

---

We propose a machine learning based method of sentiment classification of sentences using word-level polarity. The polarities of words in a sentence are not always the same as that of the sentence, because there can be polarity-shifters such as negation expressions. The proposed method models the polarity-shifters. Our model can be trained in two different ways: word-wise and sentence-wise learning. In sentence-wise learning, the model can be trained so that the prediction of sentence polarities should be accurate. The model can also combined with features used in previous work such as bag-of-words and n-grams. We empirically show that our method improves the performance of sentiment classification of sentences especially when we have only small amount of training data.