A Trust-based Mechanism for Avoiding Liars in Referring of Reputation in Multiagent System
Trust is considered as the crucial factor for agents in decision making to choose the most trustworthy partner during their interaction in open distributed multiagent systems. Most current trust models are the combination of experience trust and reference trust, in which the reference trust is e...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
(IJARAI) International Journal of Advanced Research in Artificial Intelligence, Vol.4, No.2, 2015
2016
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| Subjects: | |
| Online Access: | http://repository.vnu.edu.vn/handle/VNU_123/9892 |
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| Institution: | Vietnam National University, Hanoi |
| Language: | English |
| Summary: | Trust is considered as the crucial factor for agents in
decision making to choose the most trustworthy partner during
their interaction in open distributed multiagent systems. Most
current trust models are the combination of experience trust
and reference trust, in which the reference trust is estimated
from the judgements of agents in the community about a given
partner. These models are based on the assumption that all
agents are reliable when they share their judgements about a
given partner to the others. However, these models are no more
longer appropriate to applications of multiagent systems, where
several concurrent agents may not be ready to share their private
judgement about others or may share the wrong data by lying
to their partners.
In this paper, we introduce a combination model of experience
trust and experience trust with a mechanism to enable agents
take into account the trustworthiness of referees when they refer
their judgement about a given partner. We conduct experiments
to evaluate the proposed model in the context of the e-commerce
environment. Our research results suggest that it is better to
take into account the trustworthiness of referees when they
share their judgement about partners. The experimental results
also indicate that although there are liars in the multiagent
systems, combination trust computation is better than the trust
computation based only on the experience trust of agents |
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