Emergence Detection Using an Fuzzy Expert System in Complex System

Abstract

Fatima Zohra Bouakrif, Ali Boukehila and Nora Taleb

Swarms of insects, schools of fish, flocks of birds, and other natural phenomena all exhibit emergent behaviors, which are among the most widely discussed subjects in the world today. When these organisms are on a mission, it is evident that they maintain their consistent direction of travel without colliding with one another. This paper suggests a fuzzy expert system-based approach to emergent behavior analysis. Besides that, the paper describes the first results of a three-step procedure and investigates how interactions can be utilized as a metric to detect emerging behaviors in the Boids model: (1) Representation and acquisition of simulation data, (2) Building a fuzzy expert system, (3) Learning process and emergence detection. Since this is a part of ongoing research, future direction is also discussed.

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