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Reasoning about the impacts of information sharing

Tang, Yuqing, Cerutti, Federico, Oren, Nir and Bisdikian, Chatschik 2015. Reasoning about the impacts of information sharing. Information Systems Frontiers 17 , pp. 725-742. 10.1007/s10796-014-9521-6

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Shared information can benefit an agent, allowing others to aid it in its goals. However, such information can also harm, for example when malicious agents are aware of these goals, and can then thereby subvert the goal-maker's plans. In this paper we describe a decision process framework allowing an agent to decide what information it should reveal to its neighbours within a communication graph in order to maximise its utility. We assume that these neighbours can pass information onto others within the graph. The inferences made by agents receiving the messages can have a positive or negative impact on the information providing agent, and our decision process seeks to assess how a message should be modified in order to be most beneficial to the information producer. Our decision process is based on the provider's subjective beliefs about others in the system, and therefore makes extensive use of the notion of trust with regards to the likelihood that a message will be passed on by the receiver, and the likelihood that an agent will use the information against the provider. Our core contributions are therefore the construction of a model of information propagation; the description of the agent's decision procedure; and an analysis of some of its properties.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Springer Verlag (Germany)
ISSN: 1387-3326
Date of First Compliant Deposit: 30 March 2016
Last Modified: 12 Mar 2020 19:38

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