We introduce a simple model of knowledge scaffolding, simulating the process of building a corpus of knowledge based on logic derivations starting from a set of “axioms”. The starting idea around which we developed the model is that each new contribution, still not present in the corpus of knowledge, can be accepted only if it is based on a given number of items already belonging to the corpus. When a new item is acquired by the corpus we impose a limit to the maximum growth of knowledge for every step that we call the “jump” in knowledge. We analyze the growth with time of the corpus and the maximum knowledge and analyzing the results of our simulations we managed to show that they both follow a power law. Another result is that the number of “holes” in the knowledge corpus always remains limited. Using an approach based on a death-birth Markov process we were able to derive some analytical approximation of it.

A Simple Model of Knowledge Scaffolding / Bagnoli F.; de Bonfioli Cavalcabo Guido. - STAMPA. - 1077 SCI:(2023), pp. 41-49. (Intervento presentato al convegno Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022 tenutosi a Palermo, Italy nel 8-10/11/2022) [10.1007/978-3-031-21127-0_4].

A Simple Model of Knowledge Scaffolding

Bagnoli F.
;
de Bonfioli Cavalcabo Guido
2023

Abstract

We introduce a simple model of knowledge scaffolding, simulating the process of building a corpus of knowledge based on logic derivations starting from a set of “axioms”. The starting idea around which we developed the model is that each new contribution, still not present in the corpus of knowledge, can be accepted only if it is based on a given number of items already belonging to the corpus. When a new item is acquired by the corpus we impose a limit to the maximum growth of knowledge for every step that we call the “jump” in knowledge. We analyze the growth with time of the corpus and the maximum knowledge and analyzing the results of our simulations we managed to show that they both follow a power law. Another result is that the number of “holes” in the knowledge corpus always remains limited. Using an approach based on a death-birth Markov process we were able to derive some analytical approximation of it.
2023
Complex Networks and Their Applications XI
Eleventh International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2022
Palermo, Italy
8-10/11/2022
Goal 4: Quality education
Bagnoli F.; de Bonfioli Cavalcabo Guido
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1308673
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