“…In our earlier study [21], we approximated the meanings of mental entities using definitions from the basis of want-know-believe; however, we observed that this approach would be too coarse for recognizing complaints. In this study, we extend the speech act theory-based set of attributes to build an adequate concept lattice for communicative actions.…”
Section: The Value Of Crm Technologiesmentioning
confidence: 96%
“…In our previous study [21], we analyzed the roles of deduction, simulation and inductive learning in application to human agents. In the current paper, we build the representation machinery and develop a concept learning technique for operating with scenarios that include a sequence of communicative actions.…”
Section: Logical Simulation Of Behaviormentioning
confidence: 99%
“…We develop a knowledge representation methodology based on an approximation of a natural language description of a conflict [21].…”
Section: Formalizing Conflict Scenariosmentioning
confidence: 99%
“…In performing this merge, the relations between the meanings of the given communicative actions and those of the others are taken into account [21].…”
Section: Semantics Of Communicative Actionsmentioning
“…In our earlier study [21], we approximated the meanings of mental entities using definitions from the basis of want-know-believe; however, we observed that this approach would be too coarse for recognizing complaints. In this study, we extend the speech act theory-based set of attributes to build an adequate concept lattice for communicative actions.…”
Section: The Value Of Crm Technologiesmentioning
confidence: 96%
“…In our previous study [21], we analyzed the roles of deduction, simulation and inductive learning in application to human agents. In the current paper, we build the representation machinery and develop a concept learning technique for operating with scenarios that include a sequence of communicative actions.…”
Section: Logical Simulation Of Behaviormentioning
confidence: 99%
“…We develop a knowledge representation methodology based on an approximation of a natural language description of a conflict [21].…”
Section: Formalizing Conflict Scenariosmentioning
confidence: 99%
“…In performing this merge, the relations between the meanings of the given communicative actions and those of the others are taken into account [21].…”
Section: Semantics Of Communicative Actionsmentioning
“…Customer complaint processing [9,15] has become an important issue in the context of knowledge management technologies for large companies and organizations nowadays. Simply stated, complaint management can be seen as the formal process of recording and resolving a customer complaint.…”
Summary
This article investigates the complex relationship between endogenous and exogenous, deterministic and stochastic stimulating factors in public opinion dynamics. An asynchronous multiagent network model is proposed to explore the interaction mechanism between individual opinions and the public opinion in online multiagent network community, including both the micro and the macro patterns of opinion evolution. In addition, based on random network models, a novel algorithm is provided for opinion evolution prediction. The model property analysis and numerical experiments show that the proposed asynchronous multiagent network model can assimilate and explain some interesting phenomena that are observed in the real world. Further case studies with numerical simulation and real‐world applications confirm the feasibility and flexibility of the proposed model in public opinion analysis. The results challenge the common perception that mass media or opinion facilitators play the fundamental role in controlling the development trends of public opinion. This study shows that the formation and evolution of public opinion in the presence of opinion leaders depend also on an individual's emotional inertia and conformity pressures from peers in the same topic group.
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