A quantitative analysis of the deliberation process of different age groups.

Research output: Unpublished contribution to conferenceUnpublished abstract

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Abstract

To understand human behavior in complex systems it is important to analyze how humans' inherent characteristics play a role in their decisions. The present work aims to study how age affects decision-making and cooperativeness in the prisoners dilemma (PD). We analyze subjects' actions given a context, i.e. their own and their opponents' past decisions. Also, we provide an analysis on their deliberation process using Drift Diffusion Model, measuring whether the spontaneity in deciding to act cooperatively or not, differs with age group.
Original languageEnglish
Publication statusAccepted/In press - 13 Nov 2020
EventComputational Social Science Satellite at Conference on Complex Systems 2020 - Online
Duration: 7 Dec 202012 Dec 2020
http://ccs2020.web.auth.gr/

Conference

ConferenceComputational Social Science Satellite at Conference on Complex Systems 2020
Abbreviated titleCSS@CCS2020
Period7/12/2012/12/20
Internet address

Keywords

  • Game Theory
  • Computational Social Science
  • Prisoner's Dilemma
  • Artificial Intelligence
  • Multi-agent Systems

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