Knowledge acquisition method for conceptual design based on value engineering and axiomatic design theory. - Hiroshi Kawakami; Osamu Katai; Tetsuo Sawaragi; Tadataka Konishi; Sosuke Iwai (Artif. Intell. Eng., 1996)

A Reinforcement Learning with Condition Reduced Fuzz Rules. - Hiroshi Kawakami; Osamu Katai; Tadataka Konishi (SEAL, 1998)

Coevolutionary Genetic Algorithms for Solving Dynamic Constraint Satisfaction Problems. - Hisashi Handa; Osamu Katai; Tadataka Konishi; Mitsuru Baba (GECCO, 1999)

A new fitness function for discovering a lot of satisfiable solutions in constraint satisfaction problems. - Hisashi Handa; Osamu Katai; Tadataka Konishi; Mitsuru Baba (CEC, 2000)

A Reinforcement Learning Scheme of Fuzzy Rules with Reduced Conditions. - Hiroshi Kawakami; Osamu Katai; Tadataka Konishi (J. Adv. Comput. Intell. Intell. Informatics, 2000)

Coevolutionary GA with schema extraction by machine learning techniques and its application to knapsack problems. - Hisashi Handa; Tadashi Horiuchi; Osamu Katai; T. Kaneko; Tadataka Konishi; Mitsuru Baba (CEC, 2001)

Adaptive state construction for reinforcement learning and its application to robot navigation problems. - Hisashi Handa; Akira Ninomiya; Tadashi Horiuchi; Tadataka Konishi; Mitsuru Baba (SMC, 2001)

Shape measurement of columnar objects with specular surfaces by slit ray projection method. - Mitsuru Baba; Tadataka Konishi; Hisashi Handa (Syst. Comput. Jpn., 2002)

Position and posture measurements and shape recognition of columnar objects using an ultrasonic sensor array and neural networks. - Kozo Ohtani; Mitsuru Baba; Tadataka Konishi (Syst. Comput. Jpn., 2002)