Journal of the Japanese Society for Artificial Intelligence Vol.18 No.5(Sep. 2003)

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

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