{"id":1000260,"date":"1997-09-01T10:18:29","date_gmt":"1997-09-01T01:18:29","guid":{"rendered":"http:\/\/nijiiro-farm.sakura.ne.jp\/AI_T\/?p=260"},"modified":"2021-05-18T20:10:10","modified_gmt":"2021-05-18T11:10:10","slug":"vol12_no5","status":"publish","type":"page","link":"https:\/\/www.ai-gakkai.or.jp\/en\/published_books\/journals_of_jsai\/past_journals\/in1997\/vol12_no5\/","title":{"rendered":"Journal of Japanese Society for Artificial Intelligence Vol.12 No.5(Sep. 1997)"},"content":{"rendered":"<p>CONTENTS<\/p>\n<p>Commentary<br \/>\nBridges over AI\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026. Yasuo Sakama 653<\/p>\n<p>Special Issue: \u201cInductive Logic Programming\u201d<br \/>\nEditor\u2019s Introduction to \u201cInductive Logic Programming\u201d .. Susumu Kunifuji 654<br \/>\nInductive Logic Programming-A Tutorial-\u2026\u2026\u2026\u2026\u2026\u2026..Koichi Furukawa 655<br \/>\nTheoretical Foundations of Inductive Logic Programming\u2026.Akihiro Yamamoto 665<br \/>\nApplications of Inductive Logic Programming\u2026\u2026\u2026\u2026\u2026.Fumio Mizoguchi 675<br \/>\nApplications of Inductive Logic Programming<br \/>\n-New Trends-\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.Masayuki Numao 683<\/p>\n<p>Survey Papers<br \/>\nDeterministic Annealing<br \/>\n-Another Type of Annealing-\u2026\u2026\u2026\u2026.. Naonori Ueda and Ryohei Nakano 689<br \/>\nWhat Can AI Reseacheres Learn from Deep Blue\u2019s Victory?..Hitoshi Matsubara 698<\/p>\n<p>Technical Papers<br \/>\nOn the Genetic Algorithm with a Robust Solution Searching Scheme<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Shigeyoshi Tsutsui and Yoshiji Fujimoto 704<br \/>\nAccelerating Reinforcement Learning for a Real Robot with Automated<br \/>\nAbstract Sub-Rewards Generation<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026..Tomohiro Yamaguchi,Moto-omi Masubuchi,<br \/>\nKazutsugu Fujihara,and Masahiko Yachida 712<br \/>\nA Browsing Support Facility in Hypertext with User\u2019s Browsing Context<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026. Tsukasa Hirashima,Ken\u2019ichi Hachiya,<br \/>\nAkihiro Kashihara,and Jun\u2019ichi Toyoda 724<br \/>\nA New Generation Alternation Model of Genetic Algorithms and<br \/>\nIts Assessment \u2026\u2026\u2026\u2026. Hiroshi Sato,Isao Ono,and Shigenobu Kobayashi 734<br \/>\nAnalysis of Binary Data by Feedforward Neural Networks<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Takashi Koshimizu and Masaaki Tsujitani 745<br \/>\nIncorporating a Pruning Strategy into the Computation of<br \/>\nStable Models Based on MGTP<br \/>\n\u2026\u2026\u2026\u2026\u2026\u2026Yuka Shimajiri,Hirohisa Seki,and Hidenori Itoh 753<br \/>\nA Framework of Decision-Theoretic Utterance Planning<br \/>\n\u2026\u2026\u2026\u2026\u2026.Kentaro Inui,Takenobu Tokunaga,and Hozumi Tanaka 760<\/p>\n<p>Technical Reports<br \/>\nImprovement of a Direct Match Algorithm for Production Systems<br \/>\n..Takehiko Abe,Haruhiko Kimura,Hidetaka Namubo,and Sadaki Hirose 770<\/p>\n<p>Published Bimonthly by Japanese Society for Artificial Intelligence<br \/>\nOS Bldg.402,4-7 Tsukudomachi,Shinjuku-ku,Tokyo 162,Japan.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>CONTENTS Commentary Bridges over AI\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026. Yasuo Sakama 653 Special Issue: \u201cInductive Logic Programming\u201d Editor\u2019s Introduction to \u201cInductive Logic Programming\u201d .. Susumu Kunifuji 654 Inductive Logic Programming-A Tutorial-\u2026\u2026\u2026\u2026\u2026\u2026..Koichi Furukawa 655 Theoretical Foundations of Inductive Logic Programming\u2026.Akihiro Yamamoto 665 Applications of Inductive Logic Programming\u2026\u2026\u2026\u2026\u2026.Fumio Mizoguchi 675 Applications of Inductive Logic Programming -New Trends-\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.Masayuki Numao 683 Survey Papers Deterministic Annealing -Another Type of Annealing-\u2026\u2026\u2026\u2026.. Naonori Ueda and Ryohei Nakano 689 What Can AI Reseacheres Learn from Deep Blue\u2019s Victory?..Hitoshi Matsubara 698 Technical Papers On the Genetic Algorithm with a Robust Solution Searching Scheme \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026 Shigeyoshi Tsutsui and Yoshiji Fujimoto 704 Accelerating Reinforcement Learning for a Real Robot with Automated Abstract Sub-Rewards Generation \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026..Tomohiro [&hellip;]<\/p>\n","protected":false},"author":17,"featured_media":0,"parent":1007055,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":[],"categories":[11],"_links":{"self":[{"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1000260"}],"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=1000260"}],"version-history":[{"count":3,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1000260\/revisions"}],"predecessor-version":[{"id":1008420,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1000260\/revisions\/1008420"}],"up":[{"embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/pages\/1007055"}],"wp:attachment":[{"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/media?parent=1000260"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ai-gakkai.or.jp\/en\/wp-json\/wp\/v2\/categories?post=1000260"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}