Towards Causal Modeling of Human Behavior

Matteo Campo*, Anna Polychroniou, Hugues Salamin, Maurizio Filippone, Alessandro Vinciarelli

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


This article proposes experiments on decision making based on the "Winter Survival Task", one of the scenarios most commonly applied in behavioral and psychological studies. The goal of the Task is to identify, out of a predefined list of 12 items, those that are most likely to increase the chances of survival after the crash of a plane in a polar area. In our experiments, 60 pairs of unacquainted individuals (120 subjects in total) negotiate a common choice of the items to be retained after that each subject has performed the task individually. The results of the negotiations are analyzed in causal terms and show that the choices made by the subjects individually act as a causal factor with respect to the outcome of the negotiation.

Original languageEnglish (US)
Title of host publicationNeural Nets and Surroundings 22nd Italian Workshop on Neural Nets,WIRN 2012, May 17-19, Vietri sul Mare, Salerno, Italy
EditorsApolloni Bruno, Bassis Simone, Esposito Anna, Morabito Francesco Carlo
Number of pages8
StatePublished - 2013

Publication series

NameSmart Innovation, Systems and Technologies
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

ASJC Scopus subject areas

  • General Decision Sciences
  • General Computer Science


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