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LVA: AK der AI 2: 22.5.2000: 16:00; SEM-Raum 187/188

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Silvia Miksch

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May 2, 2000, 3:00:00 AM5/2/00
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188.118 - VU - AK der AI 2 - SS'00 2.0
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Special course on Knowledge-based Systems

State of the art and future developments:
from stand-alone software to Web-based component-ware


Frank van Harmelen Annette ten Teije


AI Group
Division of Mathematics and Computer Science
Vrije Universiteit Amsterdam
The Netherlands

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Begin:
Mo. 22.5.2000: 16:00; SEM-Raum 187/188 (Favoritenstr. 9-11, Stiege 3, 2.
Stock, blauer Trakt)

Date: May 22 - May 31, 2000 (compact format)


The first part of this intensive block-course will teach the
state-of-the-art in Knowledge Based Systems (KBS), summarising the most
important developments in the field during the last 10 years. The second
part will be research-oriented, and will look at current and future
developments in the field.

First part: Problem Solving Methods

A major development in KBS of the last decade has been the identification
of generic families of problem solving methods. Such problem solving
methods are generic and reusable reasoning-patterns that can be used to
solve classes of similar problems. We will discuss three of the most
important families of problem-solving methods: classification, diagnosis,
and design. For each of these families of problem-solving methods we will
discuss both actual industrial applications and their underlying theory.
For this part of the course, we will use the book "Introduction to
Knowledge Systems" by Mark Stefik.

Second part: configurable Web-based component-ware

Compared to other engineering disciplines, computer science does poorly in
terms of developing and applying re-usable components. The development of
problem-solving methods has opened the possibility of building
knowledge-based systems from such re-usable components. This idea becomes
even more exciting when we realise that software libraries of such
problem-solving methods can be made available on the World Wide Web,
allowing everybody everywhere to use a world wide collection of re-usable
components. It would even be possible to semi-automate this configuration
process, opening up a vision of knowledge-based systems that automatically
reconfigure themselves to solve the current problem at hand using a
world-wide collection of software libraries. Of course,this ideal can only
be made reality when we know answers to the following questions:

* how can we organise libraries of software components
* how can we (automatically) adapt components so that they will work
together
* how can we build systems that configure themselves to solve a
particular problem

After this course

the student will

1.have a good knowledge of the state-of-the-art in building reasoning
modules for knowledge-based systems

2.be familiar with some topics that are currently at the fore-front of
European research in this field

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Informationsdienst Inst. f. Informationssysteme, Abt. f. Datenbanken
und Artificial Intelligence TU Wien E184/2. Fuer regelmaessige Zusendung
dieser Nachrichten senden Sie email an list...@dbai.tuwien.ac.at,
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