Basic Characteristics of a Macroscopic Measure for Detecting Abnormal Changes in a Multiagent System
AbstractMultiagent application systems must deal with various changes in both the system and the system environment at runtime. Generally, such changes have undesirable negative effects on the system. To manage and control the system, it is important to observe and detect negative effects using an appropriate observation function of the system’s behavior. This paper focuses on the design of this function and proposes a new macroscopic measure with which to observe behavioral characteristics of a runtime multiagent system. The proposed measure is designed as the variance of fluctuation of a macroscopic activity factor of the whole system, based on theoretical analysis of the macroscopic behavioral model of a multiagent system. Experiments are conducted to investigate basic characteristics of the proposed measure, using a test bed system. The results of experiments show that the proposed measure reacts quickly and increases drastically in response to abnormal changes in the system. Hence, the proposed measure is considered a measure that can be used to detect undesirable changes in a multiagent system. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Kinoshita, T. Basic Characteristics of a Macroscopic Measure for Detecting Abnormal Changes in a Multiagent System. Sensors 2015, 15, 9112-9135.
Kinoshita T. Basic Characteristics of a Macroscopic Measure for Detecting Abnormal Changes in a Multiagent System. Sensors. 2015; 15(4):9112-9135.Chicago/Turabian Style
Kinoshita, Tetsuo. 2015. "Basic Characteristics of a Macroscopic Measure for Detecting Abnormal Changes in a Multiagent System." Sensors 15, no. 4: 9112-9135.