Emergent Intelligence: A Novel Computational Intelligence Technique to Solve Problems

Technological advancement and increasing globalization m akes humans face many problems in day to day life, involving many possible goals and each goal is associated wi th multiple possible actions, each associated with many different dynamic and uncertain consequences. In real systems, the message passing mechanisms and few computational intelligence techniques (like Swarm int elligence, Multiagent System, etc.) hinder mutual cooperation and coordination of agents while solving probl ems in an uncertain environment, even though they are highly efficient and sophisticated. Therefore, in this p aper, we propose an Emergent Intelligence technique (EIT) based problem solving. The EIT is collective intellig ence of group of agents, which is an extension of multiagent system (MAS). Unlike MAS, the EIT provides indep endent decision making for a single task by the multiple agents with mutual coordination and cooperation. It is very useful to solve the complex and dynamic problems in uncertain environments. In this paper, we discu s EIT functioning, benefits, comparisons, and also illustration of two problems: (1) resource allocation and ( 2) job scheduling. Each problem is categorically analyzed and solved step by step using EIT. We measure perfor mance of the technique by considering real time situations, and results are compared and shown the impo rtance of EIT over MAS.