<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Background: Smart buildings are one of the major application areas of technologies bound to embedded systems and the Internet of things. Such systems have to be adaptable and flexible in order to provide better services to its residents. Modelling such systems is an open research question. Herein, the question is approached using an organizational modelling methodology bound to the principles of the learning organization. Objectives: Providing a higher level of abstraction for understanding, developing and maintaining smart residential buildings in a more human understandable form. Methods/Approach: Organization theory provides us with the necessary concepts and methodology to approach complex organizational systems. Results: A set of principles for building learning agent organizations, a formalization of learning processes for agents, a framework for modelling knowledge transfer between agents and the environment, and a tailored organizational structure for smart residential buildings based on Nonaka’s hypertext organizational form. Conclusions: Organization theory is a promising field of research when dealing with complex engineering systems</p></abstract>

Background: Smart buildings are one of the major application areas of technologies bound to embedded systems and the Internet of things. Such systems have to be adaptable and flexible in order to provide better services to its residents. Modelling such systems is an open research question. Herein, the question is approached using an organizational modelling methodology bound to the principles of the learning organization. Objectives: Providing a higher level of abstraction for understanding, developing and maintaining smart residential buildings in a more human understandable form. Methods/Approach: Organization theory provides us with the necessary concepts and methodology to approach complex organizational systems. Results: A set of principles for building learning agent organizations, a formalization of learning processes for agents, a framework for modelling knowledge transfer between agents and the environment, and a tailored organizational structure for smart residential buildings based on Nonaka’s hypertext organizational form. Conclusions: Organization theory is a promising field of research when dealing with complex engineering systems

Smart Residential Buildings as Learning Agent Organizations in the Internet of Things

University of Zagreb, Faculty of Organization and Informatics

Business Systems Research Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Background: Smart buildings are one of the major application areas of technologies bound to embedded systems and the Internet of things. Such systems have to...

Smart Residential Buildings as Learning Agent Organizations in the Internet of Things

Publié en ligne: 23 avr. 2014

Pages: 34 - 46

DOI: https://doi.org/10.2478/bsrj-2014-0003

Mots clés
smart residential buildings, organizational design, internet of things, learning organization, embedded systems, multi-agent systems

© by Markus Schatten

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Smart Residential Buildings as Learning Agent Organizations in the Internet of Things

Publié en ligne: 23 avr. 2014

Pages: 34 - 46

DOI: https://doi.org/10.2478/bsrj-2014-0003

Mots cléssmart residential buildings, organizational design, internet of things, learning organization, embedded systems, multi-agent systems

© by Markus Schatten

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
smart residential buildings, organizational design, internet of things, learning organization, embedded systems, multi-agent systems