Learning-by-modeling: Insights from an agent-based model of university-industry relationships

G. Triulzi, A. Pyka

Research output: Contribution to journalArticleAcademicpeer-review

4 Citations (Scopus)

Abstract

Learning is at the base of the so-called knowledge society. New forms of learning able to more effectively challenge the complex nature of phenomenon surrounding us are increasingly necessary. In this article we argue that learning-by-modeling, through a double-loop learning process, can significantly contribute to the refinement and improvement of our knowledge of complex phenomena. To sustain this argumentation, we make use of the insights provided by an agent-based model of university-industry relationships.

Original languageEnglish
Pages (from-to)484-501
Number of pages18
JournalCybernetics and Systems
Volume42
Issue number7
DOIs
Publication statusPublished - 1 Jan 2011

Keywords

  • agent-based modeling
  • double-loop learning
  • university-industry relationships
  • INNOVATION

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