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Accountable individual trust from group reputations in multi-agent systems
Citation
Nguyen, TD and Bai, Q, Accountable individual trust from group reputations in multi-agent systems, Proceedings of the 13th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2014). Lecture Notes in Computer Science, volume 8862, 1-5 December 2014, Gold Coast, Queensland, pp. 1063-1075. ISBN 978-3-319-13559-5 (2014) [Refereed Conference Paper]
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Copyright Statement
Copyright 2014 Springer
DOI: doi:10.1007/978-3-319-13560-1_92
Abstract
Studies of reputation and trust in multi-agent systems so far have been concentrated on individual reputation. In many applications, agents need to form groups to provide services. Reputations of agent groups and individuals are mutually influenced due to the fact that they can either use these reputation of their groups or individuals to establish interactions. In multi-agent systems research, most reputation models have been constructed to capture individual reputation based on direct evidence. This paper proposes a computational model for inferring reputations and contributions of members in agent groups. We argue that the proposed model can be used as an estimation for individual reputation when such information is not available, and is suitable for distributed environments.
Item Details
Item Type: | Refereed Conference Paper |
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Keywords: | group trust, multi-agent systems, trust distribution, dis- tributed environments |
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: | 140690 |
Year Published: | 2014 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2020-09-01 |
Last Modified: | 2020-11-09 |
Downloads: | 18 View Download Statistics |
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