NDLI: An agent based model for trust and information sharing in networked systems

Content Provider	IEEE Xplore Digital Library
Author	Chan, K. Adali, S.
Copyright Year	2012
Description	Author affiliation: Army Research Laboratory, Adelphi, MD (Chan, K.) \|\| Rensselaer Polytechnic Institute, Troy, NY (Adali, S.)
Abstract	Vast amounts of information are generated, shared, and processed in tactical networks. In such systems, human cooperation is a crucial component for effective processing of information. However, human behavior is often mediated by social and organizational relationships, i.e. trust between team members and system level characteristics, such as network delays. The impact these different processes have on each other is not well understood. In this paper, we develop an agent based model for information sharing that incorporates trust into decision making. The nodes in our model are decision makers and are primarily responsible for the disambiguation of received information to obtain correct situation awareness as quickly as possible. Additionally, each node must share information with other nodes to enable the network to attain shared situation awareness. In our model, team members make trust evaluations for fellow team members that they cooperate with throughout a task. Most existing trust models concentrate on whether trust exists or not, and do not consider what task for which trust is being used. In contrast, we consider a new model of trust that incorporates two components: trust for competence and trust for throughput. In time constrained environments, both types of trust are crucial to mission success. Furthermore, this model allows us to study the impact of communication delays on overall trust. We also show how these trust values can be converted to labels that control agent's decision making behavior. To test out this proposed model, we use a command and control experiment platform called ELICIT (Experimental Laboratory for Investigating Collaboration, Information-sharing and Trust). We give initial experimental results that show how trust of nodes change in an ELICIT information sharing task for various settings of initial team trust, the biases of the nodes and possible communication channel disturbances.
Starting Page	88
Ending Page	95
File Size	285676
Page Count	8
File Format	PDF
ISBN	9781467303439
e-ISBN	9781467303453
DOI	10.1109/CogSIMA.2012.6188414
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Uncertainty Computational modeling Peer to peer computing Decision making Humans Communication networks
Content Type	Text
Resource Type	Article

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