The objective of the paper is to present the use of the March model on exploration and exploitation in organisational learning (1991) as a virtual laboratory of organisational design. The virtual laboratory, named CLOD (Computational Laboratory of Organisational Design), will be devoted to exploring the behaviour of organisational learning and evaluation systems under different external and internal conditions. The contribution of the paper would be twofold: firstly, the cellular automata model of March is transposed in an agent-based environment and then extended to be used as a virtual lab supporting organisational design; secondly, a fuzzy version of the model is proposed in order to analyse, through generative experiments, the differences between crisp and fuzzy organisational learning approaches to environmental complexity.
Does natural language perform better than formal systems? Results from a fuzzy agent-based model / Ponsiglione, C.; Primario, S.; Zollo, G.. - In: INTERNATIONAL JOURNAL OF TECHNOLOGY, POLICY AND MANAGEMENT. - ISSN 1468-4322. - 19:2(2019), pp. 171-195. [10.1504/IJTPM.2019.100602]
Does natural language perform better than formal systems? Results from a fuzzy agent-based model
Ponsiglione C.
;Primario S.;Zollo G.
2019
Abstract
The objective of the paper is to present the use of the March model on exploration and exploitation in organisational learning (1991) as a virtual laboratory of organisational design. The virtual laboratory, named CLOD (Computational Laboratory of Organisational Design), will be devoted to exploring the behaviour of organisational learning and evaluation systems under different external and internal conditions. The contribution of the paper would be twofold: firstly, the cellular automata model of March is transposed in an agent-based environment and then extended to be used as a virtual lab supporting organisational design; secondly, a fuzzy version of the model is proposed in order to analyse, through generative experiments, the differences between crisp and fuzzy organisational learning approaches to environmental complexity.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.