Evolutionary modeling of time-use vectors

Ilan Fischer, Oriel Sullivan

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Based on a genetic algorithm a computer simulation was constructed to generate the process of development of time-use among large population samples across long time-spans. The simulation uses empirical time-use data to reconstruct empirically observed behaviors, and tests the impact of parameters representing economic constraints and behavioral preferences. Seeding the simulation with random data and probabilistic combination rules, we produced an archetypal society with the same essential characteristics as the empirical data. The addition of empirically derived and theoretical evolutionary selection pressures alters the development of patterns of time-use, revealing the interplay between inhibiting constraints and motivation to adopt new behaviors.

Original languageEnglish
Pages (from-to)120-143
Number of pages24
JournalJournal of Economic Behavior and Organization
Volume62
Issue number1
DOIs
StatePublished - 1 Jan 2007

Keywords

  • Computer simulations
  • Evolutionary modeling
  • Genetic algorithm
  • Matching law
  • Time-use

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