A Socio-psychological Approach to Simulate Trust and Reputation in Modal Choices
| Type of publication: | Inproceedings |
| Citation: | |
| Booktitle: | PRIMA 2020: Principles and Practice of Multi-Agent Systems |
| Series: | Lecture Notes in Computer Science |
| Year: | 2021 |
| Month: | February |
| Pages: | 39--54 |
| Publisher: | Springer International Publishing |
| Address: | Cham |
| ISBN: | 978-3-030-69322-0 |
| URL: | https://link.springer.com/chap... |
| DOI: | https://doi.org/10.1007/978-3-030-69322-0_3 |
| Abstract: | Trust and reputation are currently being researched broadly in multiple disciplines and often considered as main drivers for human’s actions in many different scenarios. In the multiagent based simulation community, there are still concerns about qualifying and modelling them with sufficient details and adequateness in the context of decision-making. Besides, the diversity of application domains requires a method to combine trust and reputation with other determinants to provide a more complete picture for the deliberating process in complex systems. This paper presents a novel solution by applying subjective logic in conjunction with a modelling framework that utilises Triandis’Theory of Interpersonal Behaviour to simulate the modal choices of human individuals as an example. It uses the concept of opinion as a metric to measure the belief of an agent about the consequence(s) of an action, which can be updated through feedback. In addition, its consensus rule allows us to combine relevant opinions of the neighbours to evaluate the reputation of the target. By performing an experiment set up in the mobility domain, we demonstrate the framework ability to capture the ground truth of a service’s reputation at different simulation scales and highlight the effects of these concepts on the figure of yearly rail-kilometres travelled. |
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| Added by: | [] |
| Total mark: | 0 |
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