Updated model of word-of-mouth of emotional persuasion interaction based on Agent

Agent-based emotional persuasion can improve the intelligence of business negotiation. Considering the insufficient quantitative research on the updating dynamic of word-of-mouth, the updating mechanism of word-of-mouth was analyzed and the corresponding mechanism diagram was drawn. The intuitionistic fuzzy number was used to construct the interactive evaluation vector, and the corresponding algorithm and the pseudo-code were constructed by combining the value function of dichotomy and prospect theory. When the piecewise function algorithm of evaluation value of word-of-mouth was constructed, the dynamic property that word-of-mouth declines over time was also considered, and the weight of word-of-mouth was set via the inverse form of an exponential distribution. After constructing the agent-based Update Word of Mouth Model (UWOM) model of emotional persuasion interaction and the pseudo-code, the related intensity function of emotional persuasion and the proposal updating algorithm were designed based on the first law of emotional strength. To verify the appropriateness and effectiveness of the above studies, multiple computational simulations were conducted, and the conclusions, managerial insights and limitations were drawn accordingly. © 2020, Editorial Department of CIMS. All right reserved.