Immunity-Based Complex Systems and Sensor Agents

2014 Fiscal Year Final Research Report

• Project/Area Number: 23300057
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Research Field: Intelligent informatics
• Research Institution: Toyohashi University of Technology
• Principal Investigator: ISHIDA Yoshiteru 豊橋技術科学大学, 工学(系)研究科(研究院), 教授 (80159748)
• Co-Investigator(Renkei-kenkyūsha): HARADA Koji 豊橋技術科学大学, 工学研究科, 助教 (40390504) ; OKAMOTO Takeshi 神奈川工科大学, 情報学部, 准教授 (90350678) ; WATANABE Yuji 名古屋市立大学, 大学院システム自然科学研究科, 准教授 (60314100)
• Project Period (FY): 2011-04-01 – 2015-03-31
• Keywords: 知能情報処理 / 複雑系科学 / 免疫科学 / エージェント / センサ / アクチュエータ / IoT / resilience

Outline of Final Research Achievements

We have engaged in the era of the“Internet of Things” (IoT) from the era of the ubiquitous network where everyone can access to computations. With this background, our results can be divided into two: theory of immunity-based complex systems and their applications to the IoT with sensor agents.
In the theory of immunity-based complex systems, we have developed two macro models: self-recognition models where “the self” as in the immune system is focused; and self-repair networks where cleaning of abnormal nodes by mutual copying is addressed.
Further, as a micro model, incorporating an aspect of the“key and keyhole” matching, matching automaton is studied. To design degenerated systems with resilience similar to biological systems, a matching automaton is considered based on the matching problems. Not only sensor agents but also actuator agents are deployed in applications for both of the self-repair networks and the matching automata.

Free Research Field

人工知能