BaSys: KNOWLEDGE SS2009 (Knowledge as Adaptive Dynamical Process)

Last change: 24.March 2009
Attention: The information on this page can change. Actual changes are directly communicated through the course WIS-SS09 on the eLearning server of the university.

• Lecture:
  Room: 1-143
  Time: KNOW1: Thu, 16:00-17:30h (weekly)
  Time: KNOW2: Thu, 17:45-19:15h (weekly)
  First Meeting: Thu 25.March 2009
  

Overview

The topic of the module Dynamic Knowledge has not yet a complete script. The main topics related to the concept of Dynamic Knowledge are shown on the page www.uffmm.org. At the time of this writing are these texts either not yet ready or still in an early draft version. Partially they are used in the lecture. At least the following texts have been used in the past and will be expanded further:

• There was a first text Dynamisches Wissen - eine Einführung which was a first exploration of the subject of dynamical knowledge from an engineering point of view.

• This first text caused some methodological considerations which can be found in a paper for the workshop Adaptive Cognitive Modeling 2008.

• This last paper combined with many others lead the the general point of view which is subsumed under the title Philosophy of Computational Intelligence. This texts begins with the phenomenal space (consciousness) as primary reality, introduces then the empirical world with measurements, includes the body as an empirical object possessing a brain, and introduces some additional methodology.

• From the point of engineering the topics Modeling and Simulation and Formal Specification and Verification offer the general formal framework within which the construction and testing of real learning systems has to be embedded.

• If one does include the perspective of the construction of a model as an inductive process then there is a close relationship to the general topic of learning helpful structures to enable sucessful behavior in a dynamic world. This topics will be discussed in the text General Behavior Based Computational Learning Theorie (GBBCLT) which is inspired by biology but intends to built learning systems as systems of ordinary automata.

• The text about learning with Articial Neural Networks (ANNs) is a specialization of the general framework of learning systems based on neural networks Künstliche Neuronale Netze (KNNs) (this text is still in German, but will be turned into English in the future).

• In parallel to these texts an interdisciplinary research platform is built up as a Virtual Lab for Computational Intelligent Systems (Lab4CIS). A first official web site will be available during the summer term 2009.

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Time Table

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