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An integrative architecture for a sensor-supported trust management system.

Trček D - Sensors (Basel) (2012)

Bottom Line: With this methodology and architecture sensors play a crucial role.The architecture presents an already deployable tool for multi and interdisciplinary research in various areas where humans are involved.It provides new ways to obtain an insight into dynamics and evolution of such structures, not only in pervasive computing environments, but also in other important areas like management and decision making support.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Computer and Information Science, University of Ljubljana, Tržaška c. 25, 1000 Ljubljana, Slovenia. denis.trcek@fri.uni-lj.si

ABSTRACT
Trust plays a key role not only in e-worlds and emerging pervasive computing environments, but also already for millennia in human societies. Trust management solutions that have being around now for some fifteen years were primarily developed for the above mentioned cyber environments and they are typically focused on artificial agents, sensors, etc. However, this paper presents extensions of a new methodology together with architecture for trust management support that is focused on humans and human-like agents. With this methodology and architecture sensors play a crucial role. The architecture presents an already deployable tool for multi and interdisciplinary research in various areas where humans are involved. It provides new ways to obtain an insight into dynamics and evolution of such structures, not only in pervasive computing environments, but also in other important areas like management and decision making support.

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An example society graph with the corresponding assessment and dependency matrices.
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f3-sensors-12-10774: An example society graph with the corresponding assessment and dependency matrices.

Mentions: An example of some society is given in Figure 3, where this society is presented with the graph and the corresponding assessment matrix A together with the dependency matrix Ξ:


An integrative architecture for a sensor-supported trust management system.

Trček D - Sensors (Basel) (2012)

An example society graph with the corresponding assessment and dependency matrices.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472856&req=5

f3-sensors-12-10774: An example society graph with the corresponding assessment and dependency matrices.
Mentions: An example of some society is given in Figure 3, where this society is presented with the graph and the corresponding assessment matrix A together with the dependency matrix Ξ:

Bottom Line: With this methodology and architecture sensors play a crucial role.The architecture presents an already deployable tool for multi and interdisciplinary research in various areas where humans are involved.It provides new ways to obtain an insight into dynamics and evolution of such structures, not only in pervasive computing environments, but also in other important areas like management and decision making support.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Computer and Information Science, University of Ljubljana, Tržaška c. 25, 1000 Ljubljana, Slovenia. denis.trcek@fri.uni-lj.si

ABSTRACT
Trust plays a key role not only in e-worlds and emerging pervasive computing environments, but also already for millennia in human societies. Trust management solutions that have being around now for some fifteen years were primarily developed for the above mentioned cyber environments and they are typically focused on artificial agents, sensors, etc. However, this paper presents extensions of a new methodology together with architecture for trust management support that is focused on humans and human-like agents. With this methodology and architecture sensors play a crucial role. The architecture presents an already deployable tool for multi and interdisciplinary research in various areas where humans are involved. It provides new ways to obtain an insight into dynamics and evolution of such structures, not only in pervasive computing environments, but also in other important areas like management and decision making support.

Show MeSH