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Capability-aware trust evaluation model in multi-agent systems


Nguyen, TD and Bai, Q and Li, W, Capability-aware trust evaluation model in multi-agent systems, Proceedings of the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2016). Lecture Notes in Computer Science, volume 9810, 22-26 August 2016, Phuket, Thailand, pp. 771-778. ISBN 9783319429106 (2016) [Refereed Conference Paper]


Copyright Statement

Copyright 2016 Springer

DOI: doi:10.1007/978-3-319-42911-3_65


Modeling trust in a real time of dynamic multi-agent systems is important but challenging, particularly when agents frequently join and leave, and the structure of the society may often change. With the increasing complexity of services, some simplified assumptions, e.g., unlimited processing capability, adopted by several trust models have shown their limitations which restrict the application of trust model in real-world situations. This paper attempts to relax the unlimited processing capability assumption of agents by introducing a capability-aware trust evaluation with temporal factor using hidden Markov model. The experimental results show that the approach not only can improve the accuracy of trust computation but also benefit the trust-aware decision making for both individual and agent group context.

Item Details

Item Type:Refereed Conference Paper
Keywords:multi-agent system, trust, composite services, capability- aware
Research Division:Information and Computing Sciences
Research Group:Artificial intelligence
Research Field:Intelligent robotics
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Application software packages
UTAS Author:Bai, Q (Dr Quan Bai)
ID Code:140684
Year Published:2016
Deposited By:Information and Communication Technology
Deposited On:2020-09-01
Last Modified:2020-11-09
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