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Journal of Automated Reasoning

, Volume 46, Issue 3–4, pp 389–421 | Cite as

Collaborative Planning with Confidentiality

  • Max Kanovich
  • Paul Rowe
  • Andre Scedrov
Article

Abstract

Collaboration among organizations or individuals is common.While these participants are often unwilling to share all their information with each other, some information sharing is unavoidable when achieving a common goal. The need to share information and the desire to keep it confidential are two competing notions which affect the outcome of a collaboration. This paper proposes a formal model of collaboration which addresses confidentiality concerns. We draw on the notion of a plan which originates in the AI literature. We use data confidentiality policies to assess confidentiality in transition systems whose actions have an equal number of predicates in their pre- and post-conditions. Under two natural notions of policy compliance, we show that it is PSPACE-complete to schedule a plan leading from a given initial state to a desired goal state while simultaneously deciding compliance with respect to the agents’ policies.

Keywords

Collaborative planning Confidentiality AI literature Policy compliance 

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.Queen MaryUniversity of LondonLondonUK
  2. 2.The MITRE CorporationBedfordUSA
  3. 3.University of PennsylvaniaPhiladelphiaUSA

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