Preference evolution with deceptive interactions and heterogeneous trust in bounded confidence model: A simulation analysis.

Date

2019-03-20

Advisors

Journal Title

Journal ISSN

ISSN

0950-7051

Volume Title

Publisher

Elsevier

Type

Article

Peer reviewed

Yes

Abstract

The bounded confidence model is a popular tool to model the evolution of preferences and knowledge in opinion dynamics. In the bounded confidence model, it is assumed that all agents are honest to express their preferences and knowledge. However, in real-life opinion dynamics, agents often hide their true preferences, and express different preferences to different people. In this paper, we propose the evolution of preferences with deceptive interactions and heterogeneous trust in bounded confidence model, in which some agents will express three types of preferences: true preferences, communicated preferences and public preferences. In the proposed model, the communication regimes of the agents are established. Based on the established communication regimes, the true preferences, communicated preferences and public preferences of the agents are updated. Furthermore, we use an agent-based simulation to unfold the influences of the deceptive interactions and heterogeneous trust on the evolutions of preferences.

Description

The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.

Keywords

Citation

Dong, Y., Fan, Y., Liang, H., Chiclana, F. and Herrera-Viedma, E. (2019) Preference evolution with deceptive interactions and heterogeneous trust in bounded confidence model: A simulation analysis. Knowledge-Based Systems, 175, pp. 87-95

Rights

Research Institute

Institute of Artificial Intelligence (IAI)