BAK-SNEPPEN MODELS FOR THE EVOLUTION OF STRUCTURED KNOWLEDGE

Authors

  • Livio Clemente Piccinini DI4A, University of Udine
  • Ting Fa Margherita Chang DI4A, University of Udine
  • Maria Antonietta Lepellere DI4A, University of Udine
  • Mario Taverna DI4A, University of Udine
  • Giovanni Tubaro DPIA, University of Udine

DOI:

https://doi.org/10.17770/sie2016vol4.1543

Keywords:

Structured knowledge, Ontogeny versus Phylogeny, Mathematical teaching, Bak-Sneppen Model, Partitioned Frames and Evolution

Abstract

Scientific knowledge is subject to a twin evolution, since its development towards novelty creates disconnections and inconsistencies, while the need of structure requires order and method so that transmission and comprehension can be ensured. Models of biological evolution can help to understand many social and economical phenomena where the search for optimality is hindered by voluntary or random competition. Bak-Sneppen is one of the most significant models because it balances at best explication power and simplicity. Unlike cellular automata models, Bak-Sneppen models join locality and globality. The authors try to re-read these models in the framework of mathematics, where, despite its high developped structure, knowledge waves can hinder comprehension both of pupils and of scholars. Some paradoxes are shown, where a greater knowledge diminishes efficiency and capability.

 

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Author Biographies

  • Ting Fa Margherita Chang, DI4A, University of Udine
    Dipartimento di Scienze Agroalimentari, Ambientali e Animali (DI4A)
  • Maria Antonietta Lepellere, DI4A, University of Udine
    Dipartimento di Scienze Agroalimentari, Ambientali e Animali (DI4A)
  • Mario Taverna, DI4A, University of Udine
    Dipartimento di Scienze Agroalimentari, Ambientali e Animali (DI4A)

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Published

2016-05-26

How to Cite

Piccinini, L. C., Chang, T. F. M., Lepellere, M. A., Taverna, M., & Tubaro, G. (2016). BAK-SNEPPEN MODELS FOR THE EVOLUTION OF STRUCTURED KNOWLEDGE. SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference, 4, 109-121. https://doi.org/10.17770/sie2016vol4.1543