A data-driven simulation of social values evolution

  • Authors:
  • Samer Hassan;Luis Antunes;Juan Pavón

  • Affiliations:
  • GRASIA/Universidad, Complutense de Madrid, Madrid, Spain;GUESS/LabMAg/Universidade de Lisboa, Lisboa, Portugal;GRASIA/Universidad, Complutense de Madrid, Madrid, Spain

  • Venue:
  • Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
  • Year:
  • 2009

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Abstract

Modelling the evolution of moral values in a society is a complex problem that involves many interwined aspects. The approach presented in this paper takes information from a common tool of sociologists, public surveys, as input to build the model by following a data-driven approach, to analyse and interpret the impact of each factor separately, and their mutual influence. The system handles thousands of heterogeneous agents, with their own life cycle, reproduction patterns and complex social relationship dynamics including friendship. The emergence of a robust social network was a consequence of the system set up. Its output is consistent with respect to the ideological, religious and demographic parameters observed in real world surveys.