Minimal and absent information in contexts

  • Authors:
  • Floris Roelofsen;Luciano Serafini

  • Affiliations:
  • Institute for Logic, Language, and Computation, Amsterdam;Instituto per la Ricerca Scientifica e Tecnologica, Trento

  • Venue:
  • IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
  • Year:
  • 2005

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Abstract

Multi-context systems (MCS) represent contextual information flow. We show that the semantics of an MCS is completely determined by the information that is obtained when simulating the MCS, in such a way that a minimal amount of information is deduced at each step of the simulation. In MCS, the acquisition of new information is based on the presence of other information only. We give a generalized account to model situations in which information can be obtained as a result of the absence of other information as well.