Swarm intelligence (SI) is an innovative distributed intelligent paradigm whereby the
collective behaviors of unsophisticated individuals interacting locally with their environment …

A novel adaptive hybrid rule network (AHRN) based on Takagi–Sugeno (TS) fuzzy rules is
proposed to resolve chaotic system prediction problems. This model automatically adjusts its …

This paper presents a novel swarm dynamics and illustrates its applications in automated
multi-agent systems. The motion of the particles of the swarm in a particular landscape is …

In 1989 Gerardo Beni and Jing Wang first proposed the name―Swarm Intelligence‖ in
their paper―Swarm Intelligence in Cellular Robotic Systems‖. Some remarkable …

Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems,
natural or artificial. SI systems are typically made up of a population of simple agents …

Inspired by the phenomenon of symbiosis in natural ecosystems a multi-swarm cooperative
particle swarm optimizer (MCPSO) is proposed as a new fuzzy modeling strategy for …

Swarm intelligence has become a hot research field of artificial intelligence. Considering the
importance of swarm intelligence for the future development of artificial intelligence, we …

Chaos is a fascinating phenomenon that has been observed in nature, laboratory, and has
been applied in various real-world applications. Chaotic systems are deterministic with no …

Swarm Intelligence (SI) is an AI technique that has the collective behavior of a decentralized,
self-organized system. SI has more advantages such as scalability, adaptability, collective …

This paper deals with the chaoticity and fractality analysis of price time series for artificial
stock market generated by the multi-agent systems based on the co-evolutionary Genetic …