{"id":1009125,"date":"2021-07-01T09:31:51","date_gmt":"2021-07-01T00:31:51","guid":{"rendered":"https:\/\/www.ai-gakkai.or.jp\/en\/?page_id=1009125"},"modified":"2022-01-05T09:47:25","modified_gmt":"2022-01-05T00:47:25","slug":"vol36_no4","status":"publish","type":"page","link":"https:\/\/www.ai-gakkai.or.jp\/en\/published_books\/journals_of_jsai\/past_journals\/in2021\/vol36_no4\/","title":{"rendered":"[Journal]Artificial Intelligence Vol. 36 No.4 (July. 2021)"},"content":{"rendered":"<p><strong>Commentary<\/strong><br \/>\nAI Technology Maps Relate to One\u02bcs View of the World \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Koji Morikawa 411<\/p>\n<p><strong>Special Issue: \u201cMachine Learning with Discrete Structures\u201d<\/strong><br \/>\nEditor\u02bcs Introduction to \u201cMachine Learning with Discrete Structures\u201d \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Mahito Sugiyama 412<br \/>\nExpressive Power of Graph Neural Networks \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Ryoma Sato 413<br \/>\nAdvances in Graph Kernels \u2026\u2026\u2026\u2026\u2026 Kazu Ghalamkari, Mahito Sugiyama, Leslie O\u02bcBray, Bastian Rieck and Karsten Borgwardt 421<br \/>\nMolecular Graph Generation Using Machine 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\u2026Hiroshi Kajino 430<br \/>\nT-PRISM: A System Integrating Deep Learning and Logic Programming \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Ryosuke Kojima, Taisuke Sato 437<br \/>\nSentential Decision Diagram and Machine 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 Masaaki Nishino 445<br \/>\nOrder Structure and Statistical Models \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Mahito Sugiyama 454<br \/>\nMutations of Disjoint Cycle Set Corresponding to Cluster Algebra in Triangulated Surfaces<br \/>\n\u3000\u2500 Cluster Algebra for Data Science \u2500 \u2026\u2026 Ryo Yamada, Shun Kinoshita, Minori Wada, Kazushi Mimura and Mahito Sugiyama 461<\/p>\n<p><strong>Special Issue: \u201cInteraction via Virtual Space\u201d<\/strong><br \/>\nEditors\u02bc Introduction to \u201cInteraction via Virtual Space\u201d \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Yoshimasa Tawatsuji and Sho Yamamoto 470<br \/>\nA Learning Interaction as Information Sharing in Class via Virtual Space \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Sho Yamamoto 472<br \/>\nVirtual Space as Externalization of Thinking<br \/>\n\u3000\u2500 From Viewpoint of Learning Support \u2500 \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Tsukasa Hirashima 476<br \/>\nTowards Realization of Deep Interaction in Individual Learning Environment \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Tatsunori Matsui 480<br \/>\nDesigning Learning Environments That Supports Learner Interactions Mediated by Virtual Space<br \/>\n\u3000\u2500 From the Viewpoint of Emergent Division of Labor \u2500 \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Toshio Mochizuki 484<br \/>\nTwo Types of Uncanny Valley in Pedagogical Agent \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Yoshimasa Tawatsuji 488<br \/>\nAnthropomorphic Agents Supporting Contextual Reality toward Behavior Modification<br \/>\n\u3000\u2500 Robots, Virtual Agents, and Virtual Mind in Applications \u2500 \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Tomoko Yonezawa 492<br \/>\nBreaking Online Learning Open \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Akihiro Kashihara 496<\/p>\n<p><strong>Lecture Series: \u201cAI Philosophy Map\u201d\uff083\uff09<\/strong><br \/>\nExploring Feasibility of Constructing New Intelligence and Awareness Based on Bergson\u02bcs \u201cTime Scale\u201d\uff08Part 1\uff09<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026 Tadahiro Taniguchi, Yasushi Hirai and Yoji Kiyota, Moderator: Youichiro Miyake, Composition: Takako Ouchi 500<\/p>\n<p><strong>My Bookmark<\/strong><br \/>\nUrban Computing \u2500 World Trend of Data Set in Urban Space \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Yoshihide Sekimoto 512<\/p>\n<p><strong>Students Forum\uff08106\uff09<\/strong><br \/>\nThe Actual State of Student Research Activities in COVID-19<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 Mamoru Yoshizoe, Kense Todo, Yusuke Nishimura and Yuki Kuroda 521<\/p>\n<p><strong>Conference Reports<\/strong><br \/>\nNeurIPS 2020\uff08The 34th Conference on Neural Information Processing Systems\uff09<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 Sho Takase, Riku Sakamoto and Tsuyoshi Okita 527<br \/>\nIJCAI-PRICAI 2020\uff08The 29th International Joint Conference on Artificial Intelligence and<br \/>\n\u3000the 17th Pacific Rim International Conference on Artificial Intelligence\uff09 \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Yoshitaka Sakamoto 532<\/p>\n<p><strong>Book Review<\/strong><br \/>\nTadahiro Taniguchi: An Illustrated Guide To Artificial Intelligence, pp. 256, Kodansha Ltd.\uff082020\uff09 \u2026\u2026\u2026\u2026\u2026 Youichiro Miyake 535<br \/>\nRyuichiro Higashinaka: Chatting Skills of AI, pp. 272, KADOKAWA\uff082021\uff09 \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Youichiro Miyake 536<\/p>\n<p><strong>Article<\/strong><br \/>\nCover Comment: Discrete Structures in the Summer Sky \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026Takeshi Sakaki 537<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Commentary AI Technology Maps Relate to One\u02bcs View of the World \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Koji Morikawa 411 Special Issue: \u201cMachine Learning with Discrete Structures\u201d Editor\u02bcs Introduction to \u201cMachine Learning with Discrete Structures\u201d \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Mahito Sugiyama 412 Expressive Power of Graph Neural Networks \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Ryoma Sato 413 Advances in Graph Kernels \u2026\u2026\u2026\u2026\u2026 Kazu Ghalamkari, Mahito Sugiyama, Leslie O\u02bcBray, Bastian Rieck and Karsten Borgwardt 421 Molecular Graph Generation Using Machine 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\u2026Hiroshi Kajino 430 T-PRISM: A System Integrating Deep Learning and Logic Programming \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Ryosuke Kojima, Taisuke Sato 437 Sentential Decision Diagram and Machine 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 Masaaki Nishino 445 Order Structure and Statistical Models \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Mahito Sugiyama 454 Mutations of Disjoint Cycle Set Corresponding 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