{"id":1008919,"date":"2019-09-02T11:03:16","date_gmt":"2019-09-02T02:03:16","guid":{"rendered":"http:\/\/www.ai-gakkai.or.jp\/en\/?p=1008919"},"modified":"2021-05-18T17:01:38","modified_gmt":"2021-05-18T08:01:38","slug":"vol34_no5","status":"publish","type":"page","link":"https:\/\/www.ai-gakkai.or.jp\/en\/published_books\/journals_of_jsai\/past_journals\/in2019\/vol34_no5\/","title":{"rendered":"[Journal]Artificial Intelligence Vol. 34 No.5 (Sep. 2019)"},"content":{"rendered":"<p><strong>Commentary<\/strong><br \/>\nJSAI\u2019s Special Interest Groups \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Hiroaki Saito 601<\/p>\n<p><strong>Special Issue:\u201cSpecial Interest Groups of JSAI\u201d<\/strong><br \/>\nEditors\u2019 Introduction to\u201c Special Interest Groups of JSAI\u201d \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Hiroaki Saito, Yuko Sakurai, Haruyasu Ueda and Tsuneaki Kato 602<br \/>\nSpecial Interest Group on Fundamental Problems in Artificial Intelligence \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Ichigaku Takigawa 603<br \/>\nSpecial Interest Group on Knowledge-Based Systems: Recent Trends \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Tomonobu Ozaki and Kosuke Takano 612<br \/>\nSIG-CCI: Meetup between AI Researchers and Citizens for Co-creating Wisdom to Address Regional Issues<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Shun Shiramatsu, Takayuki Ito, Naoki Fukuta, Ryoji Horita, Minoru Mitsui and Katsuhide Fujita 616<br \/>\nSpecial Interest Group on Measurement Informatics \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Takashi Washio and Masato Okada 622<br \/>\nSpecial Interest Group on Spoken Language Understanding and Dialogue Processing Interdisciplinary Forum for Dialogue Research \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Mikio Nakano 625<br \/>\nSIG-KLS \u2500 Studies on Embodied Knowledge: Issues, Methodologies and Domains<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Yuta Ogai, Mihoko Otake, Kentaro Kodama, Daichi Shimizu, Masaki Suwa, Ken Hashizume, Yoshifusa Matsuura and Koichi Matsuda 629<br \/>\nJSAI SIG on AI Challenge \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026Noriaki Mitsunaga, Wataru Uemura, Reiji Suzuki, Kotaro Hoshiba and Kazuhiro Nakadai 635<br \/>\nAGI: Artificial General Intelligence \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Hiroshi Yamakawa, Ryutaro Ichise, Satoru Shimada and Rafal Rzepka 639<br \/>\nAIMED: SIG for Artificial Intelligence in MEDicine \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Shusaku Tsumoto, Ikuko Yairi and Kouji Kozaki 644<br \/>\nAdvanced Learning Sciences and Technologies \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Kazuhisa Seta 648<\/p>\n<p><strong>Special Issue:\u201cIntroduction to Special Issue on JSAI Incentive Award 2018\u201d<\/strong><br \/>\nEditors\u2019 Introduction to\u201c Introduction to Special Issue on JSAI Incentive Award 2018\u201d \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Hiroaki Saito, Yuko Sakurai, Haruyasu Ueda and Tsuneaki Kato 654<br \/>\nFPAI: Constained Clustering via Nearest Neighbor Search and Formal Concept Analysis \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Yuka Yoneda, Mahito Sugiyama and Takashi Washio 656<br \/>\nFPAI: Fairness-aware Edit of a Learned Decision Tree Using Integer Linear Programming \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Kentaro Kanamori and Hiroki Arimura 657<br \/>\nKBS: Semi-Supervised Learning on Network Using Structure Features and Graph Convolution \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Makoto Tachibana and Tsuyoshi Murata 658<br \/>\nSLUD: Estimating User Interest from Chat Dialogues \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Michimasa Inaba and Kenichi Takahashi 659<br \/>\nSLUD: Corpus-based Analysis of Character Expression Model Using Dialogue Behaviors<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Kenta Yamamoto, Koji Inoue, Shizuka Nakamura, Katsuya Takanashi and Tatsuya Kawahara 660<br \/>\nALST: An Evaluation of How Students\u2019 Behavior and Understanding Are Influenced by the Method of Assistance in Model Building Learning Environment<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Tomoya Horiguchi, Tetsuhiro Masuda, Takahito Toumoto and Tsukasa Hirashima 662<br \/>\nALST: An IRT Model Integrating Supervised LDA that Estimates Writing Ability Using Rating Data and Textual Content \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Masaki Uto 664<br \/>\nChallenge: Recipe Recommendation System using Word Vector Representation \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Tatsuya Yano, Toyohiro Hayashi and Takeshi Ohasi 665<br \/>\nLSE: Brand Positioning Derived from Words<br \/>\n\u3000\u2500 Exploring what Words Make Brands Impressive \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Nozomi Komiya and Jun Nakamura 666<br \/>\nSKL: An Expertise Evaluation Model on Reverse Punch in Shorinji Kempo \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Kazuki Suzuki and Takeshi Ito 667<br \/>\nSAI: AI Implication for Child Abuse and Neglect: A Study for Recurrent Cases by pLSA and Bayesian Network<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Kota Takaoka, Jiro Sakamoto, Daiki Hojo, Emiho Hashimoto, Koji Kitamura, Eiichi Sakurai, Yoshifumi Nishida and Yoichi Motomura 668<br \/>\nFIN: Deep t-Process Regression Model for Financial Time-Series Analysis \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Kei Nakagawa, Takanori Kadoya and Yusuke Uchiyama 670<br \/>\nKST: Visualizing Decommissioning Information Using Eagle Search \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Yasuyoshi Taruta, Yukihiro Iguchi, Koichi Kitamura, Masashi TezukaYuya Kouda 671<br \/>\nKSN: Validation of Three-Hit Theory on Television Advertisement Based on Life Log \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Takumi Kato and Kazuhiko Tsuda 673<br \/>\nSWO: Mapping Science \u2500 Realizing Interactive Operation and Advanced Search on Science Maps Based on Knowledge Graphs<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026Shusaku Egami, Katsutaro Watanabe and Takahiro Kawamura 675<br \/>\nDOCMAS: Race Results Prediction Using Deep Learning for Generation of Predicted Article in Keirin<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Takumi Yoshida, Soichiro Yokoyama, Tomohisa Yamashita and Hidenori Kawamura 677<br \/>\nBI: Optimum Pedestrian Flow Control Using Congestion Forecasting Satisfying User Equilibrium<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Hiroaki Yamada, Naoyuki Kamiyama, Hiroaki Iwashita,Takuya Ohwa and Kotaro Ohori 679<br \/>\nAIMED: Temporal Feature Set from Electronic Health Records \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Masaki Ono, Takayuki Katsuki, Masaki Makino, Kyoichi Haida and Atsushi Suzuki 681<br \/>\nAM: In-home Behavioral Observation Method Employing IoT Sensors \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026Shunichi Hattori, Teruhisa Miura, Reiko Ichikawa and Daiki Sawai 683<br \/>\nCCI: Approach of Prevention and Control of Wildlife Damage in Regional Co-creation by the User Participation Community with Diversity<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Taihei Fukuoka, Masanori Asaoka, Siho Ota, Hirokazu Ota, Hiroki Fujimura, Syunpei Kaji, Mizuki Nakagawa and Jyunichi Akita 685<\/p>\n<p><strong>Special Issue:\u201cTop Conference Reports: NeurIPS 2018 and AAAI 2019\u201d<\/strong><br \/>\nOverview of the NeurIPS 2018 Conference \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026Kazuto Fukuchi and Tomoki Fukuma 686<br \/>\nMachine Learning Algorithms with Robustness \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Kazuto Fukuchi 689<br \/>\nTowards Fairness in Machine Learning with Adversarial Learning \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Tomoki Fukuma 693<br \/>\nOverview of the AAAI 2018 Conference and Interested Topics on Game Theory \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Jun Ernesto Okumura 697<\/p>\n<p><strong>Special Issue:\u201cEmergent Intelligence and Network\u201d<\/strong><br \/>\nEditor\u2019s Introduction to\u201c Emergent Intelligence and Network\u201d \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Satoshi Kurihara 702<\/p>\n<p><strong>Lecture Series:\u201cThe Current State of Artificial Intelligence\u201d\uff084\uff09<\/strong><br \/>\nReasoning and Programming in Artificial Intelligence \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Katsumi Inoue, Chiaki Sakama and Taisuke Sato 703<\/p>\n<p><strong>Article<\/strong><br \/>\nToward the Integration of Deep Learning and Logic Programming \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Ryosuke Kojima and Taisuke Sato 714<br \/>\nMachine Learning Framework towards Acquiring Versatility \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026Wataru Kumagai 720<\/p>\n<p><strong>My Bookmark<\/strong><br \/>\nAdversarial Examples in Natural Language Processing \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026Motoki Sato 728<\/p>\n<p><strong>Global Eye\uff0848\uff09<\/strong><br \/>\nTA\uff08Teaching Assistant\uff09\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Akira Matsui 735<\/p>\n<p><strong>Students Forum\uff0899\uff09<\/strong><br \/>\nInterview with Dr. Ryutaro Ichise\u201c What One Likes, One Will Do Well\u201d \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Kotone Tadaki and Mamoru Yoshizoe 739<\/p>\n<p><strong>Conference Reports<\/strong><\/strong><br \/>\nThe 18th International Conference on Autonomous Agents and Multi-Agent Systems\uff08 AAMAS 2019\uff09 \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Taiki Todo 742<br \/>\nNAACL-HLT 2019 \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Sho Takase 743<\/p>\n<p><strong>Book Review<\/strong><br \/>\nMaki Sakamoto and Hiroaki Suzuki: Onomatopoeia to Explore the Five Senses, 182 pp., KYORITSU SHUPPAN CO., LTD.\uff082019\uff09 \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Youichiro Miyake 746<br \/>\nHaruki Ueno: Detail Discussion on Artificial Intelligenc \uff0d Essence of Deep Learning trough AlphaGo and Knowledge-Based Systems,<br \/>\n\u3000304 pp., Ohmsha, Ltd.\uff082019\uff09 \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Youichiro Miyake 747<\/p>\n<p><strong>Article<\/strong><br \/>\nCover Comment: The New Landscape of Human and the Analyzer in Yamato 2202 \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026Yuya Takashima and Hirotaka Osawa, Interviewer: Youichiro Miyake 749<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Commentary JSAI\u2019s Special Interest Groups \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Hiroaki Saito 601 Special Issue:\u201cSpecial Interest Groups of JSAI\u201d Editors\u2019 Introduction to\u201c Special Interest Groups of JSAI\u201d \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Hiroaki Saito, Yuko Sakurai, Haruyasu Ueda and Tsuneaki Kato 602 Special Interest Group on Fundamental Problems in Artificial Intelligence \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Ichigaku Takigawa 603 Special Interest Group on Knowledge-Based Systems: Recent Trends \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Tomonobu Ozaki and Kosuke Takano 612 SIG-CCI: Meetup between AI Researchers and Citizens for Co-creating Wisdom to Address Regional Issues \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Shun Shiramatsu, Takayuki Ito, Naoki Fukuta, Ryoji Horita, Minoru Mitsui and Katsuhide Fujita 616 Special Interest Group on Measurement Informatics \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Takashi Washio and Masato Okada 622 Special Interest Group on Spoken Language [&hellip;]<\/p>\n","protected":false},"author":17,"featured_media":0,"parent":1008960,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"categories":[16,11],"_links":{"self":[{"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1008919"}],"collection":[{"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/comments?post=1008919"}],"version-history":[{"count":2,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1008919\/revisions"}],"predecessor-version":[{"id":1008945,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1008919\/revisions\/1008945"}],"up":[{"embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1008960"}],"wp:attachment":[{"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/media?parent=1008919"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/categories?post=1008919"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}