著者

則 のぞみ ボレガラ ダヌシカ 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.30, no.4, pp.613-625, 2015-07-01 (Released:2015-07-03)

参考文献数

29

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We propose a method to predict users' interests by exploiting their various actions in social media. Actions performed by users in social media such as Twitter and Facebook have a fundamental property: user action involves multiple entities - e.g. sharing URLs with friends, bookmarking and tagging web pages, clicking a favorite button on a friend's post etc. Consequently, it is appropriate to represent each user's action at some point in time as a higher-order relation. We propose ActionGraph, a novel graph representation to model users' higher-order actions. Each action performed by a user at some time point is represented by an action node. ActionGraph is a bipartite graph whose edges connect an action node to its involving entities, referred to as object nodes. Using real-world social media data, we empirically justify the proposed graph structure. We show that the prediction accuracy can be improved by adequately aggregating various actions. Moreover, our experimental results show that the proposed ActionGraph outperforms several baselines, including standard tensor analysis PARAFAC, a previously proposed state-of-the-art LDA-based method and other graph-based variants, in a user interest prediction task. Although a lot of research have been conducted to capture similarity between users or between users and resources by using graph, our paper indicates that an important factor for the prediction performance of the graph mining algorithm is the choice of the graph itself. In particular, our result indicates that in order to predict users activities, adding more specific information about users activities such as types of activities makes the graph mining algorithm more effective.

著者

岩崎 礼次郎 荒木 健治

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.65, 2005 (Released:2006-10-26)

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コールセンターにおいて、毎日の営業日報作成といった作業は非常に手間のかかる作業である。そこで、コールセンターの対話データから自動的に営業日報を生成するために、対話データの特徴を元に営業日報にするべき内容の重要文の抽出を行った

著者

笠井 俊信 永野 和男 溝口 理一郎

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.30, no.3, pp.570-584, 2015-05-01 (Released:2015-05-01)

参考文献数

22

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In order to facilitate learners' knowledge refinement process, it is effective to let them externalize their knowledge. However, in a domain of the instructional design in which existence of knowledge and its necessity are not sufficiently articulated or recognized, it is not easy for teachers who are also learners of how to externalize their knowledge. In this study, we have built a system called ``FIMA-Light'' which uncovers knowledge that teachers must have applied in their lesson plans from global to local viewpoints instead of them. FIMA-Light makes use of the OMNIBUS ontology which describes various instructional knowledge for attaining educational goals extracted from instructional/ learning theories. And, FIMA-Light automatically generates what we call I_L event decomposition trees by interpreting a given lesson plan based on the OMNIBUS ontology. Then, FIMA-Light facilitates teachers' deep reflection and helps them to refine their lesson plans by providing them with decomposition trees. We report some results of an experiment carried out for evaluation of the quality and the effectiveness of I_L event decomposition trees.

著者

金 英子 松尾 豊 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.22, no.1, pp.48-57, 2007 (Released:2007-01-05)

参考文献数

28

被引用文献数

3 6

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Social relation plays an important role in a real community. Interaction patterns reveal relations among actors (such as persons, groups, companies), which can be merged into valuable information as a network structure. In this paper, we propose a new approach to extract inter-business relationship from the Web. Extraction of relation between a pair of companies is realized by using a search engine and text processing. Since names of companies co-appear coincidentaly on the Web, we propose an advanced algorithm which is characterized by addition of keywords (or we call relation words) to a query. The relation words are obtained from either an annotated corpus or the Web. We show some examples and comprehensive evaluations on our approach.

著者

宮崎 和光 坪井 創吾 小林 重信

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.2, pp.185-192, 2001 (Released:2002-02-28)

参考文献数

10

被引用文献数

1 7

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Reinforcement learning is a kind of machine learning. It aims to adapt an agent to a given environment with a clue to rewards. In general, the purpose of reinforcement learning system is to acquire an optimum policy that can maximize expected reward per an action. However, it is not always important for any environment. Especially, if we apply reinforcement learning system to engineering, environments, we expect the agent to avoid all penalties. In Markov Decision Processes, a pair of a sensory input and an action is called rule. We call a rule penalty if and only if it has a penalty or it can transit to a penalty state where it does not contribute to get any reward. After suppressing all penalty rules, we aim to make a rational policy whose expected reward per an action is larger than zero. In this paper, we propose a suppressing penalty algorithm that can suppress any penalty and get a reward constantly. By applying the algorithm to the tick-tack-toe, its effectiveness is shown.

著者

古川 陽介

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.149, 2005 (Released:2006-10-26)

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本論文では、生地を対象として画像検索を行っている。生地の画像検索を行う際に知識を用いてユーザーの注意・目的に注目することで、注目している部分に特化した類似尺度を用いて検索をする事を試みた。

著者

笹井 一人 郡司 ペギオー幸夫

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.255, 2008 (Released:2009-07-31)

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動的な階層間の相互作用を部分-全体間の齟齬を解消しながら発展する系を抽象ヘテラルキーと呼ぶ。これを自己言及・フレーム問題の結合によって逆説的に構成する方法を提示し、例として細胞内情報伝達系を紹介する。

著者

川本 竜史 古川 康一

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回全国大会(2004)

巻号頁・発行日

pp.230, 2004 (Released:2006-02-11)

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本研究の目的は、サッカーにおけるインサイドキックのスキルを解明することである。本研究では、モーションキャプチャで計測した身体運動の時系列データをもとに、統計モデルを用いてインサイドキックスキルの決定要因を抽出した。この結果、インサイドキックの誤差(エラー)は、インパクト直後の蹴り足の足部角度にきわめて強く依存しており、この再現性の獲得が正確なインサイドキックのスキル獲得の本質であることが示唆された。発表では、身体運動へのデータマイニング法の応用による「スキルサイエンス」の可能性についても言及したい。

著者

谷口 忠大 椹木 哲夫

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.493-501, 2004 (Released:2004-09-03)

参考文献数

13

被引用文献数

2 3

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In this paper, a new machine-learning method, called Dual-Schemata model, is presented. Dual-Schemata model is a kind of self-organizational machine learning methods for an autonomous robot interacting with an unknown dynamical environment. This is based on Piaget's Schema model, that is a classical psychological model to explain memory and cognitive development of human beings. Our Dual-Schemata model is developed as a computational model of Piaget's Schema model, especially focusing on sensori-motor developing period. This developmental process is characterized by a couple of two mutually-interacting dynamics; one is a dynamics formed by assimilation and accommodation, and the other dynamics is formed by equilibration and differentiation. By these dynamics schema system enables an agent to act well in a real world. This schema's differentiation process corresponds to a symbol formation process occurring within an autonomous agent when it interacts with an unknown, dynamically changing environment. Experiment results obtained from an autonomous facial robot in which our model is embedded are presented; an autonomous facial robot becomes able to chase a ball moving in various ways without any rewards nor teaching signals from outside. Moreover, emergence of concepts on the target movements within a robot is shown and discussed in terms of fuzzy logics on set-subset inclusive relationships.

著者

成田 拓也 鈴木 良平 石渡 利奈 井上 剛伸 鎌田 実 矢尾板 仁

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.398, 2008 (Released:2009-07-31)

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認知症者は,短期記憶障害のために予定を覚えておくことができず,同じ質問を頻回に繰り返す場合がある.本研究では,グループホームでの参与観察により,スケジュールに関わる記憶の問題を分析し,支援機器開発の課題(ニーズ,理解・注意の制約)を抽出した.機器のプロトタイプを作成し,発話・行動分析から,記憶を補うスケジュール呈示手法を探索した結果,提案手法により,頻回な質問が減少し,行動決定が可能になった.

著者

大武 美保子

出版者

一般社団法人 人工知能学会

雑誌

人工知能学会論文誌 (ISSN:13460714)

巻号頁・発行日

vol.24, no.2, pp.295-302, 2009 (Released:2009-02-19)

参考文献数

26

被引用文献数

3 4

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This paper proposes multiscale service design method through the development of support service for prevention and recovery from dementia towards science of lethe. Proposed multiscale service model consists of tool, event, human, network, style and rule. Service elements at different scales are developed according to the model. Firstly, the author proposes and practices coimagination method as an ``event'', which is expected to prevent the progress of cognitive impairment. Coimagination support system was developed as a ``tool''. Experimental results suggest the effective activation of episodic memory, division of attention, and planning function of participants by the measurement of cognitive activities during the coimagination. Then, Fonobono Research Institute was established as a ''network'' for ``human'' who studies coimagination, which is a multisector research organization including elderly people living around Kashiwa city, companies including instrument and welfare companies, Kashiwa city and Chiba prefecture, researchers of the University of Tokyo. The institute proposes and realizes lifelong research as a novel life ``style'' for elderly people, and discusses life with two rounds as an innovative ``rule'' for social system of aged society.

著者

桑原 教彰 桑原 和宏 安部 伸治 須佐見 憲史 安田 清

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.20, no.6, pp.396-405, 2005 (Released:2005-09-08)

参考文献数

22

被引用文献数

1 4

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Providing good home-based care to people with dementia is becoming an important issue as the size of the elderly population increases. One of the main problems in providing such care is that it must be constantly provided without interruption, and this puts a great burden on caregivers, who are often family members. Networked Interaction Therapy is the name we call our methods designed to relieve the stress of people suffering from dementia as well as that of their family members. This therapy aims to provide a system that interacts with people with dementia by utilizing various engaging stimuli. One such stimulus is a reminiscence video created from old photo albums, which is a promising way to hold a dementia sufferer's attention for a long time. In this paper, we present an authoring tool to assist in the production of a reminiscence video by using photo annotations. We conducted interviews with several video creators on how they used photo annotations such as date, title and subject of photos when they produced the reminiscence videos. According to the creators' comments, we have defined an ontology for representing the creators' knowledge of how to add visual effects to a reminiscence video. Subsequently, we developed an authoring tool that automatically produces a reminiscence video from the annotated photos. Subjective evaluation of the quality of reminiscence videos produced with our tool indicates that they give impressions similar to those produced by creators using conventional video editing software. The effectiveness of presenting such a video to people with dementia is also discussed.

著者

井上 聡

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.196, 2008 (Released:2009-07-31)

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ライフゲームは単純なルールのもとで展開されるにもかかわらず、そのダイナミクスは非常に緻密で複雑なシステムである。 本研究ではその複雑なダイナミクスを利用して、ネット社会では不可欠な電子ファイルの暗号化に応用する方法について検討する。

著者

岡本 和憲 中野 有紀子 西田 豊明

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.39, 2004 (Released:2006-02-11)

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本研究は、TVML等の形式で記述された台本中の台詞を抽出し、発話文に即したジェスチャを自動的に決定、生成することにより、キャラクタ動作が細かく記述されていない台本から、CGキャラクタに効果的なジェスチャを付加した番組を生成するメカニズムを提案する。

著者

山内 翔 川村 秀憲 鈴木 恵二

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.1-11, 2015-01-01 (Released:2015-01-06)

参考文献数

19

被引用文献数

2 1

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The main feature that keeps states and structures stable can be seen in living organisms. This adjusting and adaptive feature is called homeostasis. This integrated adaptive feature is achieved by the cooperation of organs in living organisms. Living organisms in nature act dynamically due to this feature. Highly adaptive behavior caused by this feature is also observed in simple living organisms that have no neural circuits such as amoebas. In amoeba case, each cell acts as an oscillator and such behavior is explicable as synchronization phenomena of oscillators. Based on these facts, a method of control to generate homeostasis in robotic systems is proposed by assuming a robot system is an aggregation of oscillators in this paper. When a robot system is assumed as an aggregation of oscillators, a robot system tries to keep the value of the specific function that indicate its uncomfortable level small the whole time. To keep such function value small, a robot system stabilize the relationship between oscillators when its value is small and reconstruct the relationship between oscillators when its value is large. This behavior is also explicable as synchronization phenomena of oscillators. A redundant robot arm is made to confirm the effect of this control method to generate homeostatic behaviors in robotic systems.

著者

小川 泰右 池田 満 鈴木 斎王 荒木 賢二

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.37-46, 2015-01-01 (Released:2015-01-06)

参考文献数

16

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PROBLEM is a key concept used in sharing intentions of medical services among health professionals belonging to different domains. PROBLEMs represent the necessity for medical services from each domain. PROBLEMs serve as a reference point for unifying multiple domain knowledge, when health professional team designs services. However, there is confusion on sharing intentions of the medical services using PROBLEMs. The confusion arose from the ambiguity of the role which the PROBLEMs are playing on intention expressions. Hence, the authors developed a media equipped with a function which specifies roles of PROBLEMs, and tried to control of this confusion. The result of the trial use suggests that the media suppresses the confusion and prompts users to externalize intentions of medical services.

著者

高丸 圭一 内田 ゆず 乙武 北斗 木村 泰知

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.306-318, 2015-01-06 (Released:2015-01-06)

参考文献数

25

被引用文献数

2

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An onomatopoeia is a useful linguistic expression to describe sounds, conditions, degrees and so on. It is said Japanese is rich in onomatopoeic expressions. They are frequently used in daily conversations. The meaning and surface structure of an onomatopoeia varies diachronically. There seem to be regional variations in usage of onomatopoeias. It is necessary to investigate the actual condition of onomatopoeia quantitatively in order to apply onomatopoeias into artificial intelligence. This paper studies practical usages of onomatopoeias in spoken modern Japanese language. To explore Japanese onomatopoeias nowadays, we investigate regional assembly minutes collected from all areas in Japan. The corpus of regional assembly minutes, which has about 300 million words, is the target of the investigation of this study. The minutes of Japanese regional assemblies contain all transcriptions of the utterances in the assemblies. This corpus is suitable for our research since attributes of the speakers are clear and speakers are distributed nation-wide. The first research is about total frequency and regional distribution of onomatopoeias. The onomatopoeias, which represent a request for a promotion of policy, e.g., ``shikkari'', ``dondon'', are used at high frequency in regional assemblies. There are no remarkable regional differences in frequencies of these onomatopoeias though western Japan has slight higher frequency. The second research is about the meaning of the onomatopoeias. Most of onomatopoeias are polysemous. The meaning of the onomatopoeia differs by context. The authors have manually checked through 10,827 sentences, which contain 153 kinds of onomatopoeia, and then classified the meaning of each onomatopoeic expression. We analyzed for the following subjects: i) ambiguity of onomatopoeic expression, ii) regional differences in meaning, iii) new meanings in modern spoken language, iv) special usage in assemblies, and v) onomatopoeias in the named entities. The third research is about false extraction of onomatopoeias in the morphological analysis. The extraction errors are analyzed from the viewpoint of surface structure and appearance position. In terms of surface structure, it is clear that the word length of an onomatopoeic expression, which has highly false extraction, is shorter. The onomatopoeic expressions, which end with special morae, namely moraic obstruent, moraic nasal and long vowel, have a higher rate of false extraction. In terms of appearance position, dialectal grammar is the main factor causing false extraction. About 25% of false extraction is found in the sentence-closing particles in dialectal grammar. The result of quantitative analysis of the onomatopoeia in modern spoken Japanese language serves as the basic data which contributes to engineering. The results of the analysis in our research are exhibited through the WWW. It is hoped that results will contribute broadly to the practical use of onomatopoeia in the engineering field.

著者

千葉 和也 大和田 勇人 溝口 文雄

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.16, no.1, pp.156-163, 2001 (Released:2002-02-28)

参考文献数

15

被引用文献数

1 2 1

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In this paper, we apply Inductive Logic Programming (ILP) to acquire graphic design knowledge. Acquiring design knowledge is a challenging task because such knowledge is complex and vast. We thus focus on principles of layout and constraints that layouts must satisfy to realize automatic layout generation. Although we do not have negative examples in this case, we can generate them randomly by considering that a page with just one element moved is always wrong. Our nonmonotonic learning method introduces a new predicate for exceptions. In our method, the ILP algorithm is executed twice, exchanging positive and negative examples. From our experiments using magazine advertisements, we obtained rules characterizing good layouts and containing relationships between elements. Moreover, the experiments show that our method can learn more accurate rules than normal ILP can.

著者

高橋 勇 小西 達裕 伊東 幸宏

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.16, no.1, pp.63-73, 2001 (Released:2002-02-28)

参考文献数

19

被引用文献数

2 1

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In this paper, we discuss a planning and plan recognition approach to generate advice in a Micro- World. A Micro-World should be able to guide a learner who is in impasse. When a learner meets some trouble, a Micro-World should guide the learner by giving some advices. In order to generate appropriate advice, it should have an ability to construct a correct plan to achieve the learner’s goal, and to recognize the learner’s plan by observing the learner’s actions. Therefore we discuss the ability of planning and plan recognition in a Micro-World. We point out some problems concerning to unobservable actions and bad effectual actions, and propose methods to solve the problems. Then we introduce our experimental system. We take chemistry as our domain subject and the system can let a learner learn a chemical experiment with acid-base reactions.

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.579-579, 2009 (Released:2009-10-22)

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Vol.24, No.6 に掲載の論文のページ数に誤りがありました.( )内に正しいページ数を記します.