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Workshop

The Candide Model: How Narratives Emerge Where Observations Meet Beliefs

  • Lara Verheyen (Vrije Universiteit Brussel)
E1 05 (Leibniz-Saal)

Abstract

In this talk, I will discuss the Candide model as a computational architecture for modelling human-like, narrative-based language understanding. The model starts from the idea that narratives emerge through the process of interpreting novel linguistic observations, such as utterances, paragraphs and texts, with respect to previously acquired knowledge and beliefs. Narratives are personal, as they are rooted in past experiences, and constitute perspectives on the world that might motivate different interpretations of the same observations. Concretely, the Candide model operationalises this idea by dynamically modelling the belief systems and background knowledge of individual agents, updating these as new linguistic observations come in, and exposing them to a logic reasoning engine that reveals the possible sources of divergent interpretations. I will introduce the foundational ideas and a proof-of-concept implementation.

Katharina Matschke

Max Planck Institute for Mathematics in the Sciences Contact via Mail

Jürgen Jost

Max-Planck-Institut für Mathematik in den Naturwissenschaften

Eckehard Olbrich

Max Planck Institute for Mathematics in the Sciences

Marjan Horvat

IRRIS Institute

Tom Willaert

Vrije Universiteit Brussel

Armin Pournaki

Max Planck Institute for Mathematics in the Sciences