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Journal of Advanced Computational Intelligence and Intelligent Informatics

ISSN : 1343-0130(Print) / 1883-8014(Online)
Honorary Editor :Lotfi A. Zadeh (University of California)
Editor-in-Chief :Toshio Fukuda (Nagoya University), Kaoru Hirota (Tokyo Institute of Technology)

JACIII Vol.15 No.8 October 2011

Special Issue on Cross-Disciplinary Approaches to Embodied Knowledge of Human Skill

Guest Editors : Isao Hayashi (Professor, Kansai University, Japan) and Shinichi Furuya (Post-Doctoral Associate, University of Minnesota, USA)

Special Issue on Selected Papers from SCIS & ISIS 2010 – No.2

Editor : Keigo Watanabe (Professor, Okayama University, Japan)

Guest Editors : Kazuhiro Ohkura (Professor, Hiroshima University, Japan), and Kiyotaka Izumi (Associate Professor, Saga University, Japan)

Special Issue on Selected Papers from i-SAIRAS 2010

Editor : Keiki Takadama (Professor, The University of Electro-Communications, Japan)

JACIII Vol.15 No.8 October 2011

Special Issue on Cross-Disciplinary Approaches to Embodied Knowledge of Human Skill

Editorial:

Special Issue on Cross-Disciplinary Approaches to Embodied Knowledge of Human Skill

Isao Hayashi and Shinichi Furuya, p. 941

Expertise in sports, music, dance, and craftsmanship is increasingly attracting researchers from many different backgrounds who seek to deepen their understanding of outstanding human skills - a field known as skill science. The goal of skill science is to elucidate neural, cognitive, and computational mechanisms and processes underlying superior sensorimotor functions. To this aim, cross-disciplinary approaches needed include artificial intelligence, computational intelligence, soft computing, robotics, biomechanics, cognitive science, and neuroscience.

This special issue includes a variety of paper focusing on new computational approaces and cutting-edge empirical techniques shedding light on embodied knowledge. Analytical techniques include factorial analysis, such as Principal Component Analysis (PCA) and Singular Vector Decomposition (SVD), correlation networks, machine learning such as cluster analysis, Bayesian statistics, and nonlinear dynamical modeling. Experimental paradigms and techniques include Virtual Reality (VR) environment, comparison between skilled and unskilled individuals and between individuals with and without neurological disorders, and biomechanical and physiological measurement using motion capture, ElectroMyoGraphy (EMG), functional Magnetic Resonance Imaging (fMRI), Transcranial Magnetic Stimulation (TMS), and Auditory Brainstem Response (ABR).

These approaches and techniques have successfully addressed key features of sensorimotor mechanisms behind skilled human behavior. Unique approaches in terms of abduction reasoning and observation learning of robots have quantitatively and qualitatively unraveled cognitive processes in novel skill acquisition.

Findings from these studies provide intriguing insights into developing comprehensive models of embodied knowledge and into practical applications Quantitative evaluation and precise modeling of human skills are, for example, indispensable for developing hardware and software that mimic human functions and for designing robots and Brain-Machine Interfaces (BMI) that enables dexterous human-like behavior. It is of academic and clinical importance to determine mechanisms for acquiring complex sensorimotor skills. These diverse approaches toward a unique goal are expected to build bridges among researchers with vastly different backgrounds, serving as an impetus for boosting this cross-disciplinary research area.

We believe this special issue will serve as a landmark for further developing skill science research.

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Paper:: Neurophysiological and Dynamical Control Principles Underlying Variable and Stereotyped Movement Patterns During Motor Skill Acquisition; Kazutoshi Kudo, Makoto Miyazaki, Hirofumi Sekiguchi, Hiroshi Kadota, Shinya Fujii, Akito Miura, Michiko Yoshie,
and Hiroki Nakata, pp. 942-953; Abstract | Preview | Full-text (PDF 1513KB)
Paper:: Abductive Reasoning as an Integrating Framework in Skill Acquisition; Koichi Furukawa, Toshiki Masuda, and Ikuo Kobayashi, pp. 954-961; Abstract | Preview | Full-text (PDF 1072KB)
Paper:: Accuracy of Synchrony Judgment and its Relation to the Auditory Brainstem Response: the Difference Between Pianists and Non-Pianists; Eriko Aiba, Koji Kazai, Takayuki Shimotomai, Toshie Matsui, Minoru Tsuzaki, and Noriko Nagata, pp. 962-971; Abstract | Preview | Full-text (PDF 1050KB)
Paper:: Learning Strategy in Time-to-Contact Estimation of Falling Objects; Hiroyuki Kambara, Keiichi Ohishi, and Yasuharu Koike, pp. 972-979; Abstract | Preview | Full-text (PDF 419KB)
Paper:: Decomposition of Limb Movement Based on Muscular Coordination During Human Running; Taiki Iimura, Keita Inoue, Hang T. T. Pham, Hiroaki Hirai, and Fumio Miyazaki, pp. 980-987; Abstract | Preview | Full-text (PDF 1975KB)

Paper:: Network Approach to Inducing Coordinative Structures of Skillful Movements; Masanori Tsujino, Tsutomu Fujinami, and Keisuke Nagai, pp. 988-996; Abstract | Preview | Full-text (PDF 2481KB)
Paper:: A Classification of Postural Sway Patterns During Upright Stance in Healthy Adults and Patients with Parkinson’s Disease; Tomohisa Yamamoto, Yasuyuki Suzuki, Kunihiko Nomura, Taishin Nomura, Takao Tanahashi, Kei Fukada,
Takayuki Endo, and Saburo Sakoda, pp. 997-1010; Abstract | Preview | Full-text (PDF 1855KB)
Paper:: Acquisition of Embodied Knowledge on Gesture Motion by Singular Value Decomposition; Isao Hayashi, Yinlai Jiang, and Shuoyu Wang, pp. 1011-1018; Abstract | Preview | Full-text (PDF 775KB)
Paper:: Extraction of Coordinative Structures of Motions by Segmentation Using Singular Spectrum Transformation; Hiroaki Nakanishi, Sayaka Kanata, Hirofumi Hattori, Tetsuo Sawaragi, and Yukio Horiguchi, pp. 1019-1029; Abstract | Preview | Full-text (PDF 2018KB)
Paper:: Kicking Motion Imitation of Inverted-Pendulum Mobile Robot and Development of Body Mapping from Human Demonstrator; Sataya Takahashi, Yasutake Takahashi, Yoichiro Maeda, and Takayuki Nakamura, pp. 1030-1038; Abstract | Preview | Full-text (PDF 1327KB)
Paper:: Analysis of Driver Perceptions and Behavior When Driving in an Unfamiliar Traffic Regulation; Hidetoshi Nakayasu, Tetsuya Miyoshi, Nobuhiko Kondo, Hirokazu Aoki, and Patrick Patterson, pp. 1039-1048; Abstract | Preview | Full-text (PDF 4085KB)

Special Issue on Selected Papers from SCIS & ISIS 2010 – No.2

Editorial:

Special Issue on Selected Papers from SCIS & ISIS – No.2

Keigo Watanabe, Kazuhiro Ohkura, and Kiyotaka Izumi, p. 1049

This second special issue from the Joint 5th International Conference on Soft Computing and Intelligent Systems and the 11th International Symposium on Advanced Intelligent Systems (SCIS & ISIS) 2010 presents 11 progressive papers covering topics from Fuzzy c-Means, clustering, evolutionary algorithms, and self-organizing maps to optimization, spiral phenomena, matroids, multirobot systems, and reinforcement learning. This wide range of research interests reflects current trends in the SCIS & ISIS conference series. As such, they demonstrate how near-future research interests are gradually moving toward exciting new directions.

We thank the authors and reviewers for taking time out from their busy schedules to make this publication possible. We are especially grateful to Prof. Toshio Fukuda of Nagoya University and to Prof. Kaoru Hirota of the Tokyo Institute of Technology for giving us the opportunity to guest-edit JACIII. Our special thanks go to Ms. Reiko Ohta of Fuji Technology Press Ltd. for her ongoing support in publication.

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Paper:: Non-Euclidean Extension of FCMdd-Based Linear Clustering for Relational Data; Takeshi Yamamoto, Katsuhiro Honda, Akira Notsu, and Hidetomo Ichihashi, pp. 1050-1056; Abstract | Preview | Full-text (PDF 1970KB)
Paper:: KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c-Means; Yuchi Kanzawa, Yasunori Endo, and Sadaaki Miyamoto, pp. 1057-1064; Abstract | Preview | Full-text (PDF 1810KB)
Paper:: Improving the Robustness of Instance-Based Reinforcement Learning Robots by Metalearning; Toshiyuki Yasuda, Kousuke Araki, and Kazuhiro Ohkura, pp. 1065-1072; Abstract | Preview | Full-text (PDF 1040KB)
Paper:: Extraction of Community Transition Rules from Data Streams as Large Graph Sequence; Takehiro Yamaguchi and Ayahiko Niimi, pp. 1073-1081; Abstract | Preview | Full-text (PDF 1014KB)
Paper:: A Proposal of Memory and Prediction Based Genetic Algorithm Using Speciation in Dynamic Multimodal Function Optimization; Takumi Ichimura, Hiroshi Inoue, Akira Hara, Tetsuyuki Takahama, and Kenneth J. Mackin, pp. 1082-1094; Abstract | Preview | Full-text (PDF 1893KB)

Paper:: Performance Analysis of Quantum-Inspired Evolutionary Algorithm; Tomohisa Takata, Teijiro Isokawa, and Nobuyuki Matsui, pp. 1095-1102; Abstract | Preview | Full-text (PDF 1572KB)
Paper:: An Approximation Algorithm with Factor Two for a Repetitive Routing Problem of Grasp-and-Delivery Robots; Yoshiyuki Karuno, Hiroshi Nagamochi, and Aleksandar Shurbevski, pp. 1103-1108; Abstract | Preview | Full-text (PDF 723KB)
Paper:: Preservation and Application of Acquired Knowledge Using Instance-Based Reinforcement Learning for Multi-Robot Systems; Junki Sakanoue, Toshiyuki Yasuda, and Kazuhiro Ohkura, pp. 1109-1115; Abstract | Preview | Full-text (PDF 1956KB)
Paper:: Spiral Dynamics Inspired Optimization; Kenichi Tamura and Keiichiro Yasuda, pp. 1116-1122; Abstract | Preview | Full-text (PDF 226KB)
Paper:: Solving the Binding Problem with Separated Extraction of Information by Oscillatory Self-Organizing Maps; Ryota Miyata and Koji Kurata, pp. 1123-1130; Abstract | Preview | Full-text (PDF 685KB)
Paper:: A Proposal of Genetic Operations for BSIM Parameter Extraction Using Real-Coded Genetic Algorithm; Ai Nishiba, Hiroharu Kawanaka, Haruhiko Takase, and Shinji Tsuruoka, pp. 1131-1138; Abstract | Preview | Full-text (PDF 1243KB)

Special Issue on Selected Papers from i-SAIRAS 2010

Editorial:

Special Issue on Selected Papers from i-SAIRAS 2010

Keiki Takadama, p. 1139

This special issue features the selected papers from i-SAIRAS 2010 (The 10th International Symposium on Artificial Intelligence, Robotics and Automation in Space) at Sapporo, Japan on August 29 - September 1, 2010), which explores the technology of Artificial Intelligence (AI), Automation and Robotics, and its application in space. In the AI domain, in particular, i-SAIRAS focuses on the following issues: (1) spacecraft autonomy (e.g., inboard software for mission planning and execution, resource management, fault protection, science data analysis, guidance, navigation and control, smart sensors, testing and validation, architectures); (2) mission operations automation (e.g., decision support tools for mission planning and scheduling, anomaly detection and fault analysis, innovative operations concepts, data visualization, secure commanding and networking); (3) design tools and optimization methods, electronic documentation; and (4) AI methods (e.g., automated planning and scheduling, agents model-based reasoning, machine learning and data mining).

In the selection process for JACIII (Journal of Advanced Computational Intelligence and Intelligent Informatics), 13 papers were firstly nominated from 133 oral presentation papers as outstanding AI-related papers by i-SAIRAS International Committee, and 6 papers were finally accepted through the two-stages of pear-reviews. All papers were reviewed by three reviewers. As the brief introduction of these papers, the paper by Mark Johnston and Mark Giuliano presents an architecture called MUSE (Multi-User Scheduling Environment) to integrate multi-objective evolutionary algorithms with existing domain planning and scheduling tools. The second paper by Amdeo Cesta et al. discusses general lessons learned from a series of deployed planning and scheduling systems. The third paper by Alessandro Donati et al. spotlights specific achievements and trends in the area of spacecraft diagnosis and mission planning and scheduling. The fourth paper by Cedric Cocaud and Takashi Kubota proposes the system that provides position and attitude information to a spacecraft during its approach descent and landing phase toward the surface of an asteroid. The firth paper by Tomohiro Harada et al. studies On-Board Computer which evolves computer programs through the bit inversion and analyzes its robustness to the bit inversion. Finally, the last paper by Masayuki Otani et al. explores the distributed control of the multiple robots which may be broken in the assembly of space solar power satellite. The editor hopes that these papers would help for readers to capture the state-of-art of AI technology in space.

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Paper:: Multi-Objective Scheduling for Space Science Missions; Mark D. Johnston and Mark E. Giuliano, pp. 1140-1148; Abstract | Preview | Full-text (PDF 3128KB)
Paper:: Deploying Interactive Mission Planning Tools – Experiences and Lessons Learned –; Amedeo Cesta, Gabriella Cortellessa, Simone Fratini, Angelo Oddi, and Giulio Bernardi, pp. 1149-1158; Abstract | Preview | Full-text (PDF 632KB)
Paper:: Benefits of Using Innovative Tools for Diagnostics and Planning in ESA Mission Operations; Alessandro Donati, Jose Antonio Martinez-Heras, and Nicola Policella, pp. 1159-1166; Abstract | Preview | Full-text (PDF 1645KB)
Paper:: Development of an Intelligent Simulator with SLAM Functions for Visual Autonomous Landing on Small Celestial Bodies; Cedric Cocaud and Takashi Kubota, pp. 1167-1174; Abstract | Preview | Full-text (PDF 2119KB)
Paper:: Robustness to Bit Inversion in Registers and Acceleration of Program Evolution in On-Board Computer; Tomohiro Harada, Masayuki Otani, Yoshihiro Ichikawa, Kiyohiko Hattori, Hiroyuki Sato, and Keiki Takadama,
pp. 1175-1185; Abstract | Preview | Full-text (PDF 593KB)
Paper:: Improving Recovery Capability of Multiple Robots in Different Scale Structure Assembly; Masayuki Otani, Kiyohiko Hattori, Hiroyuki Sato, and Keiki Takadama, pp. 1186-1196; Abstract | Preview | Full-text (PDF 1707KB)

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