Logic of confidence.

The article studies knowledge in multiagent systems where data available to the agents may have small errors. To reason about such uncertain knowledge, a formal semantics is introduced in which indistinguishability relations, commonly used in the semantics for epistemic logic S5, are replaced with m...

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Detalles Bibliográficos
Publicado en:Synthese Vol. 192; no. 6; pp. 1821 - 1839
Autores principales: Naumov, Pavel, Tao, Jia
Formato: Artículo
Publicado: Springer Nature Jun2015
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        10.1007/s11229-014-0655-3
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          Naumov, Pavel
          Tao, Jia
        affil:
          Department of Mathematics and Computer Science, McDaniel College, Westminster 21157 USA
          Department of Computer Science, Bryn Mawr College, Bryn Mawr 19010 USA
      su:
        Confidence
        Self-evaluation
        Semantics research
        Information theory
        Mathematical logic
      sug:
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          Confidence
          Self-evaluation
          Semantics research
          Information theory
          Mathematical logic
      keyword:
        Axiomatic system
        Confidence of knowledge
        Uncertainty
      ab: The article studies knowledge in multiagent systems where data available to the agents may have small errors. To reason about such uncertain knowledge, a formal semantics is introduced in which indistinguishability relations, commonly used in the semantics for epistemic logic S5, are replaced with metrics to capture how much two epistemic worlds are different from an agent's point of view. The main result is a logical system sound and complete with respect to the proposed semantics.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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