Estimating virtual trust of cognitive agents using multi layered socio-fuzzy inference system

Social network analysis for multi agent based models can support deeper and empirically grounded understanding of the activities as well as agent's roles in the system. An agent may store and share information of its environment with other agents of the system. Implementing a secure communication setup, in accordance with requested information is significant to select appropriate recipient. In such state of affairs cognitive phenomena like trust plays a vital role. Agents when converse based on trust establish emotional ties of varying strength in their social network. This paper presents a trust based fuzzy inference model in multi agent system by incorporating social relationships and contributes to analyze for cognitive agents for their roles as being influential, trustworthy and perilous. The model has also been implemented using Dempster Shafer Theory (DST) and the results are compared.