|Affiliation||Department of Computer Science and Engineering|
|Title||Professor / Chair of Department of Computer Science and Engineering|
|Fields of Research||Immunity-Based Systems and Other Biologically Inspired Information Systems / Systems Science, Complex System Theory / Qualitative System Theory and Human Reasoning|
|Degree||Dr. Eng. (Kyoto University)|
|Academic Societies||JFES / JAMB / KES / IEEE / IEICE / IPSJ / SICE / ISCIE|
Please append ".tut.ac.jp" to the end of the address above.
|Laboratory website URL||http://www.sys.cs.tut.ac.jp/|
* Immunity-Based Systems and Other Biologically Inspired Information Systems
Sensor networks inspired from the immune network
Adaptive system based on the immune systems
Propagation, diagnosis and self-repair of networks
* Diagnostic Theory Based on Qualitative and Graphical Models
Stability analysis by signed directed graphs
Sign simulation and diagnosis on signed directed graphs and its application to process diagnosis
Systems analysis by symmetry-based reasoning
* Qualitative System Theory and Human Reasoning
Theme1：Intelligent Sensor Systems, Intelligent Global Sensor, System Sensing
We "propose a profile-based sensing framework for adaptive sensor systems based on models that relate possibly heterogeneous sensor data and profiles generated by the models to detect events. With these concepts, three phases for building the sensor systems are extracted from two examples: a combustion control sensor system for an automobile engine, and a sensor system for home security. The three phases are: modeling, profiling, and managing trade-offs. Designing and building a sensor system involves mapping the signals to a model to achieve a given mission." Quaoted from the second publication below.
◆ Immunity-Based Diagnosis for a Motherboard, Sensors 11: 4. 4462-4473, 2011.
◆ Adaptive Sensing Based on Profiles for Sensor Systems Sensors, Sensors 9: 11. 8422-8437, 2009.
◆ State-of-the-Art Sensors Technology in Japan, Sensors 2012
◆ State-of-the-Art Sensors Technology in Japan, Sensors 2010
Theme2：Biological Closure and Life System Theory
We discuss "a conjecture that entities of similar kinds behave similarly, and hence a collective of similar entities may be treated as one entity (a collective identity). We previously reported that this conjecture may be formalized as an additive symmetry exhibited by two or more similar species in the Lotka-Volterra model." We consider "a formalization based on the Stable Marriage Problem. That is, similar individuals exhibit the additive symmetry and may be treated as one collective entity (called “generalized individual”). This formalization allows us to relate the collectives with concepts such as decomposability and diversity based on the similarity and distinguishability."
Quaoted from the first publication below.
[Notes on Biological Closure]
◆ A Note on the Collective Identity of Indistinguishable Entities: A View from the Stable Marriage Problem, LNCS 6884 348-356, 2011.
◆ A Note on Symmetry in Logic of Self-Repair: A Case of a Self-Repair Network, LNCS 6278, pp. 652-659, 2010.
◆ A Note on Biological Closure and Openness: A System Reliability View, LNCS 5712, pp. 805-812, 2009.
◆ A Note on Space-Time Interplay through Generosity in a Membrane Formation with Spatial Prisoner’s Dilemma, LNCS 5179, pp. 448-455, 2008.
◆ A Note on Symmetries on Equations of Population Dynamics and Stability Conditions, LNCS 4694, pp. 796?803, 2007.
◆ Yoshiteru Ishida (2004) Immunity-Based Systems: A Design Perspective, Springer, Heidelberg.
Theme3：Intelligent Networked Systems
We discuss "a critical phenomenon in a self-repair network by mutual copying. Extensive studies have been done on critical phenomena in many fields such as in epidemic theory and in percolation theory with an effort of identification of critical points. However, from the viewpoints of cleaning up a network by mutual copying, critical phenomena have not much studied. A critical phenomenon has been observed in a self-repair network. Self-repairing by mutual copying is “the double-edged sword” that could cause outbreaks with inappropriate parameters, and careful investigations are needed."
Quaoted from the last publication of the self-repair networks below.
◆ Asymmetric Structure between Two Sets of Adaptive Agents: An Approach Using a Matching Automaton, LNCS 6884, pp. 357-365, 2011.
◆ Asymmetry in Repairing and Infection: A Case of the Self-Repair Network, LNCS 6278, pp. 645-651, 2010.
◆ Asymmetric Phenomena of Segregation and Integration in Biological Systems: A Matching Automaton, LNCS5712, pp. 789-796, 2009.
◆ Asymmetric Interactions between Cooperators and Defectors for Controlling Self-Repairing,”LNCS5179, pp. 440-447, 2008.
◆ Symmetries on Asymmetric Wars: Generalists (HIVs) versus Specialists (T-cells), LNCS 4694, pp. 854?861, 2007.
◆ Complex Systems Paradigms for Integrating Intelligent Systems: a Game Theoretic Approach, in Computational Intelligence, 115, 155?181, 2008.
◆ A Game Theoretic Analysis on Incentive for Cooperation in a Self-Repairing Network, in Innovations and Advanced Techniques in Computer and Information Sciences and Engineering, pp. 505-510, 2007.
◆ A Critical Phenomenon in a Self-Repair Network by Mutual Copying, LNCS 3682, pp. 86-92, 2005.
◆ Yoshiteru Ishida, Hirofumi Hirayama, Hiroyuki Fujita, Akio Ishiguro, Kazuyuki Mori (1998) Immunity-Based Systems--Intelligent Systems by Artificial Immune Systems-- (in Japanese) Edited by:Yoshiteru Ishida. Corona Pub. Co. Japan
Title of class
Complex and Intelligent Systems (D33030120) /
Computational and Mathematical Modeling (B13622020) /
Mathematics for Information Engineering 1 (B1361006a) /
Advanced System and Knowledge Scieces (M23622030) /
Numerical Analysis (B13630030)