Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Trust in Multi-Agent Systems

Authors: Jeffrey Tweedale; Philip Cutler;

Trust in Multi-Agent Systems

Abstract

Research in Multi-Agent Systems has revealed that Agents must enter into a relationship voluntarily in order to collaborate, otherwise that collaborative efforts may fail [1,2]. When examining this problem, trust becomes the focus in promoting the ability to collaborate, however trust itself is defined from several perspectives. Trust between agents within Multi-Agent System may be analogous to the trust that is required between humans. A Trust, Negotiation, Communication model currently being developed, is based around trust and may be used as a basis for future research and the ongoing development of Multi-Agent System (MAS). This paper is focused on discussing how the architecture of an agent could be designed to provide it the ability to foster trust between agents and therefore to dynamically organise within a team environment or across distributed systems to enhance individual abilities. The Trust, Negotiation, Communication (TNC) model is a proposed building block that provides an agent with the mechanisms to develop a formal trust network both through cooperation or confederated or collaborative associations. The model is conceptual, therefore discussion is limited to the basic framework.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Top 10%
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!