The 5-th International Symposium

The Graduate University for Advanced Studies

Strategies for Complex Systems

--- Constructive and Descriptive Approaches ---

SYMPOSIUM: March 10-12, 1999, at Hayama, Kanagawa, Japan
PUBLIC LECTURE March 13, 1999, at Yamaha Hall, Ginza, Tokyo

Objective:

It has been about ten years since the advent of the "Complexity" paradigm, which has attracted the attention of many people as a new approach to the analysis of complex systems. "Complexity" aims to analyze a complex system in the real world by simulating a model which describes the process with simple structual concepts.

However, this is not the only approach to analyzing complex systems. Statistical science has been providing methodologies and models for quantitative analysis of many types of data from complex real situations. For example, it has been useful in the prediction and control of complex systems in engineering and science. Also, recent studies in Neural Networks and Artificial Intelligence have been developed on the basis of statistical concepts.

Clearly, these two methodological approaches are complementary to each other in that the former deductively constructs a virtual world while the latter inductively analyzes the complexity in the real world.

Likewise, simulations using the "Complexity" approach are somewhat different from the conventional computer intensive simulations based on some deducted fundamental laws, although both simulation approaches aim to realize experiments of a complex system which cannot be carried out in the real world.

The differences between the various methods cannot be explained by only the concepts of deductionism and anti-deductionism. In order to establish further fruitful breakthroughs in the research of complex systems, we need to make opportunities to compare and clarify the different objectives and methodologies between the two approaches in various specific research projects.

It is hoped that this interdisciplinary symposium supported by the Graduate University of Advanced Studies will provide us with a foundation to find further useful methods for the analysis of complex systems.


Schedule and Programme:

In the following, speakers and titles in blue color are fixed ones, and the others are all tentative. The speakers are asked to give proper titles for their lectures as soon as possible, also abstracts and their photos for the printed programme.

Symposium (10-12 March)

March, 10 (Wednesday)

11:00-14:00 Registration (at Shonan Village Center, Hayama)
12:30-13:30 Lunch
11:00-14:00 Preparation for Poster session


14:00-14:10 Welcome Address by Eiji Hirota, President of SOKEN-DAI
14:10-14:20 Opening Address by Yosihiko Ogata, Organizing Committee Chair


Session 1. Simulation of Complex Systems - Realism and Simple Modeling

14:20-14:50 Kohji Hirata (CCRE SOKEN-DAI & Research Organization for High Energy Accelerators): Introduction.
14:50-15:40 Tetsuya Sato (SOKEN-DAI & National Inst. for Fusion Science): Embodiment and Abstraction of Dynamo Simulation
15:40-16:30 Tatsuo Yanagita (U Hokkaido); Abstract Simulation


16:30-16:50 Coffee break


16:50-17:40 Nobuhiro Go (Kyoto U): Rugged Energy Landscape of a Protein in the native state
17:40-18:30 Eugene Shakhnovich (Harvard U): Protein Folding: From Lattice Models to Real Proteins


19:00-21:00 Welcome Party


21:00-22:00 Preparation for Poster Session


March, 11 (Thursday)
Session 1 continued

08:30-09:20 Tadashi Yamamoto (National Musium of Ethnology): Social Complexity and Socio-Politics of Information
09:20-10:10 Ayumu Yasutomi (Nagoya U): The Emergence and Collapse of Money



Session 2. Poster Session

10:10-12:40 Poster Session (with coffee)

Contributors and Titles


12:40-13:40 Lunch


Session 3. Dynamics - Nonlinear Phenomena and Time Series Analysis

13:40-14:00 Tohru Ozaki (SOKEN-DAI & Inst. Stats. Math. ): Introduction.
14:00-14:50 Pedro Valdes-Sosa (Cuban Neuroscience Center); The Statistical Analysis of Nonlinear Brain Dynamics
14:50-15:40 Hatsuo Hayashi (Kyushu Tech. U): Chaotic Features of Rhythmic Brain Activity



15:40-16:00 Coffee break



16:00-16:50 Milan Palus (Inst. Computer Science SA, Czech);Detecting a Driven Nonlinear Oscillator Underlying Experimental Time Series: The Sunspot Cycle
16:50-17:40 Takashi Matsumoto (Waseda U): Reconstruction and Prediction of Nonlinear Dynamical Systems

17:40-18:30 Peter Brockwell (Colorado State U); Modelling Finanfial Time Series With Continuous-Time Non-Linear Autoregressions


19:00-20:30 Dinner



March, 12 (Friday)
Session 4. Symbols in the Mind - Emergence versus Description

09:00-09:20 Yukito Iba (SOKEN-DAI & Inst. Stats. Math.): Introduction.
09:20-10:10 Jun Tani (SONY, CSL): A Dynamical Systems Approach to Represent Cognition of Robots
10:10-11:00 Takashi Hashimoto (RIKEN): Communication and Emergence of Languages in Toy Worlds


11:00-11:20 Coffee break


11:20-12:10 Kyoko Inoue (Keio U): Spatial Cognition and Relativity


12:10-13:30 Lunch


13:30-14:20 Shimon Edelman (U Sussex, UK): Core Problems in High-Level Vision
14:20-15:10 Kazuo Okanoya (Chiba U); A Generative Grammar for the Birdsong and its Brain Representation

15:10-15:40 General Discussion and Summary (Chair, Yosihiko Ogata)
15:40-15:50 Closing Remarks by Tetsuyuki Yukawa (CCRE Director, SOKEN-DAI)

Public Lecture (13 March, Saturday)

At Yamaha Hall, Ginza, Tokyo
12:00 Registration13:00 Welcome Address by Eiji Hirota (President of SOKEN-DAI)13:10 Introductory Remarks by Yosihiko Ogata (Chair of the symposium)13:20 Tetsuya Sato (SOKEN-DAI & National Inst. for Fusion Science): Exploring Simulation Science for the 21st Century14:10 Yan Kagan (UCLA): Earthquake Scale-Invariance, Their Modelling and Prediction15:00 Genshiro Kitagawa (SOKEN-DAI & Inst. Statist. Math.): Signal Extraction and Knowledge Discovery by Statistical Modeling
15:50-16:10 Break
16:10 Shimon Edelman (U Sussex, UK): Object Recognition: More Than Remembrance of Things Past?17:00 Kunihiko Kaneko (U Tokyo): Complex System Biology: An Introduction17:50 Closing Remarks by Tetsuyuki Yukawa (CCRE Director, SOKEN-DAI)18:00 Closing-------------------------------------------------------------------------------
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Email to: ogata@ism.ac.jp
Updated at 8 March 1999