In the present work it is understood the unlearning as the voluntary effort made by firms to abandon the capacities that are not necessary to compete in an innovation system. Modeling and simulating unlearning makes it possible to know emerging behaviors resulting not only from learning, but also from agents unlearning who try to adapt to other agents and the competitive environment. The objective of this work is to represent and analyze the unlearning from the agent-based methodology. As conclusion, a model representing unlearning as a negative variation in capacities accumulation was obtained, which according to its speed, has a different impact on the performance of the innovation system.
|Translated title of the contribution||Representation of unlearning in the innovation systems: A proposal from agent-based modeling|
|Number of pages||11|
|State||Published - 2017|
Bibliographical noteFunding Information:
To the Universidad Pontificia Bolivariana (Colombia) for the scholarship of doctoral studies of Santiago Quintero Ramirez, that has made possible the work presented here. At the Professors Giuseppe Zollo, Gabriela Dutrénit and Carlota Pérez, who collaborated in the discussions of the construction in the conceptual model.
© 2017 Universidad ICESI. Published by Elsevier España, S.L.U. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).