BAK-SNEPPEN MODELS FOR THE EVOLUTION OF STRUCTURED KNOWLEDGE
| Autor: | Giovanni Tubaro, Maria Antonietta Lepellere, Livio Clemente Piccinini, Mario Taverna, Ting Fa Margherita Chang |
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| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Structure (mathematical logic)
Sociology of scientific knowledge Mathematical teaching business.industry media_common.quotation_subject Locality Novelty Globality Partitioned Frames and Evolution Ontogeny versus Phylogeny Bak-Sneppen Model Data science Cellular automaton Structured knowledge Mathematical teaching Bak-Sneppen Model Explication Structured knowledge Ontogeny versus Phylogeny Mathematical teaching Bak-Sneppen Model Partitioned Frames and Evolution Simplicity Artificial intelligence business media_common Mathematics |
| Zdroj: | SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference; Vol 4 (2016): SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference May 27th-28th, 2016, Volume IV; 109-121 |
| ISSN: | 1691-5887 2256-0629 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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