Language mediated mentalization: A proposed model

Research output: Contribution to journalArticlepeer-review

Abstract

Mentalization describes the process through which we understand the mental states of oneself and others. In this paper, I present a computational semiotic model of mentalization and illustrate it through a worked-out example. The model draws on classical semiotic ideas, such as abductive inference and hypostatic abstraction, but pours them into new ideas and tools from natural language processing, machine learning, and neural networks, to form a novel model of language-mediated-mentalization.

Original languageEnglish
Pages (from-to)261-272
Number of pages12
JournalSemiotica
Volume2019
Issue number227
DOIs
StatePublished - 1 Mar 2019

Keywords

  • computational semiotics
  • language mediation
  • mentalization
  • semiotics

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