Learning-by-Modeling: Insights from an Agent-Based Model of University-Industry Relationships
Triulzi, Giorgio and Pyka, Andreas, Learning-by-Modeling: Insights from an Agent-Based Model of University-Industry Relationships. Cybernetics and Systems, (7),
Document type:
Article
Collection:
-
Author Triulzi, Giorgio
Pyka, AndreasTitle Learning-by-Modeling: Insights from an Agent-Based Model of University-Industry Relationships Appearing in Cybernetics and Systems Issue No. 7 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. Keyword Agent-based modeling
Double-loop learning
University–industry relationshipsDOI 10.1080/01969722.2011.610266 -
Citation counts Cited 0 times in Scopus Article
Search Google ScholarAccess Statistics: 264 Abstract Views - Detailed Statistics Created: Wed, 11 Dec 2013, 18:20:16 JST