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Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models by Gülay Canbaloğlu, Jan Treur, Anna Wiewiora, (eds.) is a nonfiction available to read on EtoBox.

What is Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models about?

Although there is much literature on organisational learning, mathematical formalisation and computational simulation, there is no literature that uses mathematical modelling and simulation to represent and explore different facets of multilevel learning. This book provides an overview of recent work on mathematical formalisation and computational simulation of multilevel organisational learning by exploiting the possibilities of self-modeling network models to address it. This is the first book addressing mathematical formalisation and computational modeling of multilevel organisational learning in a systematic, principled manner.   A self-modeling network modeling approach from AI and Network Science is used where in a reflective manner some of the network nodes (called self-model nodes) represent parts of the network's own network structure characteristics.  This is supported by a dedicated software environment allowing to design and implement (higher-order) adaptive network models by specifying them in a conceptual manner at a high level of abstraction in a standard table format, without any need of algorithmic specification or programming.  This modeling approach allows

Who reads Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models?

Author

Gülay Canbaloğlu, Jan Treur, Anna Wiewiora, (eds.)

Publisher

Springer International Publishing AG

Published

2023

Language

EN

ISBN

9783031287343

Category

nonfiction

Subjects

Engineering, Mathematics, Computer Science