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

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, t...

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Main Author: Schatten Markus
Format: Article
Language:English
Published: Sciendo 2014-03-01
Series:Business Systems Research
Subjects:
Online Access:https://doi.org/10.2478/bsrj-2014-0003
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spelling doaj-03003b9c79f44835894ee608653c129f2021-09-05T21:00:36ZengSciendoBusiness Systems Research1847-93752014-03-0151344610.2478/bsrj-2014-0003bsrj-2014-0003Smart Residential Buildings as Learning Agent Organizations in the Internet of ThingsSchatten Markus0University of Zagreb, Faculty of Organization and InformaticsBackground: 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 systemshttps://doi.org/10.2478/bsrj-2014-0003smart residential buildingsorganizational designinternet of thingslearning organizationembedded systemsmulti-agent systems
collection DOAJ
language English
format Article
sources DOAJ
author Schatten Markus
spellingShingle Schatten Markus
Smart Residential Buildings as Learning Agent Organizations in the Internet of Things
Business Systems Research
smart residential buildings
organizational design
internet of things
learning organization
embedded systems
multi-agent systems
author_facet Schatten Markus
author_sort Schatten Markus
title Smart Residential Buildings as Learning Agent Organizations in the Internet of Things
title_short Smart Residential Buildings as Learning Agent Organizations in the Internet of Things
title_full Smart Residential Buildings as Learning Agent Organizations in the Internet of Things
title_fullStr Smart Residential Buildings as Learning Agent Organizations in the Internet of Things
title_full_unstemmed Smart Residential Buildings as Learning Agent Organizations in the Internet of Things
title_sort smart residential buildings as learning agent organizations in the internet of things
publisher Sciendo
series Business Systems Research
issn 1847-9375
publishDate 2014-03-01
description 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
topic smart residential buildings
organizational design
internet of things
learning organization
embedded systems
multi-agent systems
url https://doi.org/10.2478/bsrj-2014-0003
work_keys_str_mv AT schattenmarkus smartresidentialbuildingsaslearningagentorganizationsintheinternetofthings
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