Authors:
Alexander Wendt
1
;
Stefan Kollmann
1
;
Lydia Siafara
1
and
Yevgen Biletskiy
2
Affiliations:
1
TU Vienna, Austria
;
2
University of New Brunswick, Canada
Keyword(s):
Cognitive Architecture, AI, Building Automation, Decision-making, KORE, Industrial Application, ACONA, Control Strategy.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Cognitive Systems
;
Computational Intelligence
;
Evolutionary Computing
;
Industrial Applications of AI
;
Soft Computing
;
Symbolic Systems
Abstract:
Cognitive architectures, which originate from the field of Artificial Intelligence, implement models for problem-solving and decision-making. These architectures have a wide room for implementation in industrial applications. The goal is to adapt a cognitive architecture to the demands of an application in the area of building automation. It is analyzed, why cognitive architectures are difficult to apply in industrial domain. The result of the analysis is a cognitive process, which is applied to an application in the building automation domain. The use of the architectures is demonstrated within a Java-based based middleware. There, the cognitive architecture is applied for the automatic generation and improvement of control strategies in building automation, which have the goal to minimize energy consumption with minimal reduction of the comfort.