Computational Modeling Of Multilevel Organisational Learning And Its Control Using Self Modeling Network Models

Download Computational Modeling Of Multilevel Organisational Learning And Its Control Using Self Modeling Network Models full books in PDF, epub, and Kindle. Read online free Computational Modeling Of Multilevel Organisational Learning And Its Control Using Self Modeling Network Models ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

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

Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models
Author :
Publisher : Springer Nature
Total Pages : 512
Release :
ISBN-10 : 9783031287350
ISBN-13 : 3031287355
Rating : 4/5 (355 Downloads)

Book Synopsis Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models by : Gülay Canbaloğlu

Download or read book Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models written by Gülay Canbaloğlu and published by Springer Nature. This book was released on 2023-06-16 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 to model the development of knowledge in an organisational setting in a neatly structured manner at three different levels for the usage, adaptation and control, respectively, of the underlying mental models. Several examples of realistic cases of multilevel organisational learning are used to illustrate the approach. Crucial concepts such as the aggregation of mental models to form shared mental models out of individual mental models are addressed extensively. It is shown how to model context-sensitive control of organisational learning taking into account a wide variety of context factors, for example relating to levels of expertise of individuals or to leadership styles of managers involved. Mathematical equilibrium analysis of models of organisational learning is also addressed, among others allowing verification of correctness of the implemental models in comparison to their conceptual design. Chapters in this book also contribute to the Management and Business Sciences research by demonstrating how computational modeling can be used to capture complex management phenomena such as multilevel organizational learning. This book has a potential implication for practice by demonstrating how computational modeling can be used to capture learning scenarios, which then provide a basis for more informed managerial decisions.


Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models Related Books

Computational Modeling of Multilevel Organisational Learning and Its Control Using Self-modeling Network Models
Language: en
Pages: 512
Authors: Gülay Canbaloğlu
Categories: Technology & Engineering
Type: BOOK - Published: 2023-06-16 - Publisher: Springer Nature

DOWNLOAD EBOOK

Although there is much literature on organisational learning, mathematical formalisation and computational simulation, there is no literature that uses mathemat
Complex Networks & Their Applications XII
Language: en
Pages: 490
Authors: Hocine Cherifi
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Mental Models and Their Dynamics, Adaptation, and Control
Language: en
Pages: 611
Authors: Jan Treur
Categories: Technology & Engineering
Type: BOOK - Published: 2022-01-26 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book introduces a generic approach to model the use and adaptation of mental models, including the control over this. In their mental processes, humans oft
Proceedings of Seventh International Congress on Information and Communication Technology
Language: en
Pages: 889
Authors: Xin-She Yang
Categories: Technology & Engineering
Type: BOOK - Published: 2022-07-26 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book gathers selected high-quality research papers presented at the Seventh International Congress on Information and Communication Technology, held at Bru
Biologically Inspired Cognitive Architectures 2021
Language: en
Pages: 640
Authors: Valentin V. Klimov
Categories: Technology & Engineering
Type: BOOK - Published: 2022-03-24 - Publisher: Springer Nature

DOWNLOAD EBOOK

The book focuses on original approaches intended to support the development of biologically inspired cognitive architectures. It bridges together different disc