A Bio Inspired Self-Organization Models of Multi-Agent System: A Detailed Review

Background/Objectives: To analyze the behavior of bio inspired self-organization models of multi agent system for research in computing. Methods/Statistical Analysis: This paper deals about the self-organizing approach for managing components, which are being distributed in dynamically changing environment. The Multi-Agent System (MAS) generally used for replacing the traditional approach of centralized control and creates an alternative way to design a decentralized control based system for distributed autonomous agents. In general, the multi-agent system provides flexibility, modularity and robustness in an environment. This paper views about some multi-agent systems approaches that are developed in recent years. In this paper, we present an active survey about working of agents of a multi-agent system in a self-organized way. Here we describe briefly about self-organization and multi-agent system in detail that includes the definition, various properties and characteristics and also organizational behavior of self-organizing systems. In this survey, unusual authoru0027s methods are compared and examined to derive an active technique called as the self-organization in Multi-agent system. Findings: As the self-organization is an artificial intelligence technique, the system can be able to perform in an active way according to the environment possibly. However, the self-organizing system is more expensive and complexity is comparatively high. These are observed, and documentation has been given. In conclusion, we present our reflections on the analysis, discuss challenges and identify future research trends in the area of multi-agents in the presence of self-organization techniques. Applications/Improvements: This method is an emerging technique and so different observations are taken place to examine the differing advantages and disadvantages while using this system. There exist various challenges in using this technique.