CONTENTS
Special Issue:“Recent Progress in Genetic Algorithms ”
Editors’ Introduction to “Recent Progress in Genetic Algorithms ”
………………………. Masayuki Yamamura, Hajime Kita and Isao Ono 477
Advances in Real-Coded Genetic Algorithm Considering Probablistic
Distribution Estimation …………….. Jun Sakuma and Shigenobu Kobayashi 479
Perspective on Estimation of Distribution Algorithms
— Bayesian Optimization Algorithm and Its Hybridization —
………………… Setsuya Kurahashi, Yuji Katsumata and Takao Terano 487
Multiobjective Design Optimization of Aircraft Configuration
………………………………………………. Shigeru Obayashi 495
Application of Real-Coded Genetic Algorithm to Biological Research Fields
— Inference of Genetic Interactions in Large Scale Gene Networks —
…………………………………… Masahiro Okamoto and Isao Ono 502
Optimization of Uncertain Fitness Functions by Genetic Algorithms
…………………………………… Hajime Kita and Yasuhito Sano 510
Special Issue:
“Machine Learning vs. Human Learning: Why Can’t Machines Outsmart Humans ?”
Editor’s Introduction to
“Machine Learning vs. Human Learning: Why Can’t Machines Outsmart Humans ?”
………………………………………………….. Mutsumi Imai 517
Various Approaches to Machine Learning
— Researchers’Map — ……………………………. Hiroshi Yamakawa 519
Machine Learning for Language Communication …………….. Naoto Iwahashi 522
Machine Learning and Human Learning
— From the Viewpoint of the Statistical Learning — …….. Hideki Asoh 526
Machine Learning in Computational Learning Theory ……….. Hiroki Arimura 531
Can a Machine Produce Appropriate New Concepts ? ………. Makoto Haraguchi 537
Modeling of Children’s Language Acquisition by Inductive Logic Programming
……………………………………………….. Koichi Furukawa 542
Logical Approach to AI Using Learning ………………………. Ken Satoh 546
Learning in Cognitive Develepmental Robotics ……………… Minoru Asada 550
Can We Make Human Intelligence Clear by the Computational Model ?
………………………………………………… Hiroyuki Okada 555
Acquisition of Internal Procedure by Reuse of Knowledge and Experience
…………………………………………………. Takashi Omori 559
Toward a System That Learns Something Forever ………… Hitoshi Matsubara 564
Multiple Processes for Decision-Making ……………… Masamichi Sakagami 568
Flexibility of Human Intelligence: What Machine Learning Suggests
………………………………………………….. Etsuko Haryu 572
Human and Machine Learning at Home ………………………. Hisao Nojima 577
Conditions for Language Learning to Be Symbol-Grounded …….. Mutsumi Imai 580
Survey Papers
Efficient Construction and Use of Enumeration Algorithms (Part 3)
— Hard Enumeration Problems and Reverse Search — ………. Takeaki Uno 586
Lecture Series: New Trends in Linguistics for AI Reseachers to Learn From (2)
Relevance Theory
— An Introduction to Cognitive Pragmatics — ……….. Tomoko Matsui 592
Technical Papers Abstract ……………………………………………. 603
Last modified: Mon. Jul. 07 15:45:45 JST 2003