Project Head:
Thomas Kluge
Project Team:
Klaus Kasper
Thomas Kluge
Aicha Vack
Field of research
Research Area:
Transdisciplinary
Concepts and Methods
about the Institute
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Methodologically, as well thematically, the proposed study is strongly continuous with
the "Hybrid Project in the Cognitive Sciences. A Case Study on Biorobotics," a
project funded within the research focus point: "Integrated Technology
Research." The general a goal of this project is to make clear the emergence,
consequences and potential of scientific-technical innovations, which need to be described
and understood as complex systems, available for use within scientific-technological
debates, and for societal evaluation. By "neo-cybernetic prognosis machines" is
meant here, technical systems which can generate predictions for non-linear processes on
the basis of new modeling techniques such as, for example, neuronal nets or fuzzy logic.
The employment of neo-cybernetic prognosis machines results from the perception and
description of the phenomena to be predicted as systems with non-linear, adaptive and
emergent properties. These could be systems in industry (e.g., the automatic steering of a
steel processing line) or in environmental technology (e.g., the steering and regulation
of a biological-mechanical waste water system, or the modeling and prediction of weather
processes). Given this background, the area of application selected for this project is
environmental research and technology. For, firstly, science and technology stand in a
close relationship of mutual dependence; and, secondly, in this field, the problem areas
to be studied, and also regulated, are increasingly seen as highly complex connections of
processes and systems.
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