Contributions to the modelling of auditory hallucinations, social robotics and multiagent systems

  1. OZAETA RODRIGUEZ, LEIRE
Supervised by:
  1. Manuel Graña Romay Director
  2. Darya Chyzhyk Director

Defence university: Universidad del País Vasco - Euskal Herriko Unibertsitatea

Fecha de defensa: 16 March 2021

Committee:
  1. Alicia Emilia D'Anjou D'Anjou Chair
  2. Javier de Lope Asiaín Secretary
  3. Sebastian Rios Perez Committee member
Department:
  1. Ciencia de la Computación e Inteligencia Artificial

Type: Thesis

Teseo: 154054 DIALNET lock_openADDI editor

Abstract

The Thesis covers three diverse lines of work that have been tackled with the central endeavor of modeling and understanding the phenomena under consideration. Firstly, the Thesis works on the problem of finding brain connectivity biomarkers of auditory hallucinations, a rather frequent phenomena that can be related some pathologies, but which is also present in healthy population. We apply machine learning techniques to assess the significance of effective brain connections extracted by either dynamical causal modeling or Granger causality. Secondly, the Thesis deals with the usefulness of social robotics strorytelling as a therapeutic tools for children at risk of exclussion. The Thesis reports on the observations gathered in several therapeutic sessions carried out in Spain and Bulgaria, under the supervision of tutors and caregivers. Thirdly, the Thesis deals with the spatio-temporal dynamic modeling of social agents trying to explain the phenomena of opinion survival of the social minorities. The Thesis proposes a eco-social model endowed with spatial mobility of the agents. Such mobility and the spatial perception of the agents are found to be strong mechanisms explaining opinion propagation and survival.