Situation-Dependent Behavior in Building Automation

The general aim of automation is to improve different areas of life. Within the area of automation in buildings a vast amount of systems coexist which are used in various fields of applications. Unfortunately, most of these applications are self-contained and therefore obstruct the establishment of system-spanning functions. Moreover, today's building automation consists of purely reactive systems, solely reacting to previously defined inputs. Unforeseen situations may result in malfunctions and unintended actions. This work describes a model which is able to meet our increasing demand for a reliable system that is capable of dealing with complex situations in modern life. It provides a basis for "consciously" recognizing situations and "far-sighted" actions. Biological systems and principles have ever since proven to be reliable and qualified sources for technical development. This work therefore concentrates on establishing a model architecture that embodies nature-like elements and biological concepts.

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