• Medientyp: E-Artikel; Sonstige Veröffentlichung; Elektronischer Konferenzbericht
  • Titel: Legal Knowledge Conveyed by Narratives: Towards a Representational Model
  • Beteiligte: Sileno, Giovanni [VerfasserIn]; Boer, Alexander [VerfasserIn]; van Engers, Tom [VerfasserIn]
  • Erschienen: Schloss Dagstuhl – Leibniz-Zentrum für Informatik, 2014
  • Sprache: Englisch
  • DOI: https://doi.org/10.4230/OASIcs.CMN.2014.182
  • Schlagwörter: expectations ; legal narratives ; causation ; petri ; story representation ; agent-based modeling ; knowledge representation ; agent-roles ; story acquisition
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  • Beschreibung: The paper investigates a representational model for narratives, aiming to facilitate the acquisition of the systematic core of stories concerning legal cases, i.e. the set of causal and temporal relationships that govern the world in which the narrated scenario takes place. At the discourse level, we consider narratives as sequences of "messages" collected in an "observation", including descriptions of agents, of agents' behaviour and of "mechanisms" relative to physical, mental and institutional domains. At the content level, stories correspond to synchronizations of embodied "agent-roles" scripts. Following this approach, the "Pierson v Post" case is analyzed in detail and represented as a Petri net.
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