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          <dc:title>An Answer Set Programming Framework for Reasoning About Truthfulness of Statements by Agents</dc:title>
          <dc:creator>Cao Son, Tran</dc:creator>
          <dc:creator>Pontelli, Enrico</dc:creator>
          <dc:creator>Gelfond, Michael</dc:creator>
          <dc:creator>Balduccini, Marcello</dc:creator>
          <dc:subject>Agents</dc:subject>
          <dc:subject>ASP</dc:subject>
          <dc:subject>Reasoning</dc:subject>
          <dc:subject>Knowledge</dc:subject>
          <dc:description>We propose a framework for answering the question of whether  statements made by an agent can be believed, in light of observations made over time. The basic components of the framework are a formalism for reasoning about actions, changes, and observations and a formalism for default reasoning. The framework is suitable for concrete implementation, e.g., using answer set programming for asserting the truthfulness of statements made by agents, starting  from observations, knowledge about the actions of the agents, and a theory about the "normal" behavior of agents.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Tran Cao Son and Enrico Pontelli and Michael Gelfond and Marcello Balduccini</dc:contributor>
          <dc:date>2016</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 52, Technical Communications of the 32nd International Conference on Logic Programming (ICLP 2016)</dc:relation>
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          <dc:language>eng</dc:language>
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