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Reasoning about the impacts of information sharing

Author

Listed:
  • Yuqing Tang

    (Carnegie Mellon University)

  • Federico Cerutti

    (University of Aberdeen)

  • Nir Oren

    (University of Aberdeen)

  • Chatschik Bisdikian

    (IBM Research Division)

Abstract

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 network in order to maximise its utility. We assume that these neighbours can pass information onto others within the network. 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.

Suggested Citation

  • Yuqing Tang & Federico Cerutti & Nir Oren & Chatschik Bisdikian, 2015. "Reasoning about the impacts of information sharing," Information Systems Frontiers, Springer, vol. 17(4), pages 725-742, August.
  • Handle: RePEc:spr:infosf:v:17:y:2015:i:4:d:10.1007_s10796-014-9521-6
    DOI: 10.1007/s10796-014-9521-6
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    Cited by:

    1. Venugopal Gopalakrishna-Remani & Robert Paul Jones & Kerri M. Camp, 2019. "Levels of EMR Adoption in U.S. Hospitals: An Empirical Examination of Absorptive Capacity, Institutional Pressures, Top Management Beliefs, and Participation," Information Systems Frontiers, Springer, vol. 21(6), pages 1325-1344, December.
    2. Carlos Iván Chesñevar & Eva Onaindia & Sascha Ossowski & George Vouros, 2015. "Special issue on agreement technologies," Information Systems Frontiers, Springer, vol. 17(4), pages 707-711, August.

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