Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/61453
Title: An evolutionary trust game for the sharing economy
Contributor(s): Chica, Manuel (author); Chiong, Raymond  (author)orcid ; Adam, Marc T P (author); Damas, Sergio (author); Teubner, Timm (author)
Publication Date: 2017
DOI: 10.1109/CEC.2017.7969610
Handle Link: https://hdl.handle.net/1959.11/61453
Abstract: 

In this paper, we present an evolutionary trust game to investigate the formation of trust in the so-called sharing economy from a population perspective. To the best of our knowledge, this is the first attempt to model trust in the sharing economy using the evolutionary game theory framework. Our sharing economy trust model consists of four types of players: a trustworthy provider, an untrustworthy provider, a trustworthy consumer, and an untrustworthy consumer. Through systematic simulation experiments, five different scenarios with varying proportions and types of providers and consumers were considered. Our results show that each type of players influences the existence and survival of other types of players, and untrustworthy players do not necessarily dominate the population even when the temptation to defect (i.e., to be untrustworthy) is high. Our findings may have important implications for understanding the emergence of trust in the context of sharing economy transactions.

Publication Type: Conference Publication
Conference Details: IEEE CEC 2017: Congress on Evolutionary Computation, Donostia, Spain, 5th - 8th June, 2017
Source of Publication: Proceedings of the 2017 IEEE Congress on Evolutionary Computation, CEC, p. 2510-2517
Publisher: IEEE
Place of Publication: United States of America
Fields of Research (FoR) 2020: 4602 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Appears in Collections:Conference Publication
School of Science and Technology

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