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  Prospectuses 2007-2008
Radboud universityProspectusesFaculty of Social Sciences > 2007-2008 Kunstmatige Intelligentie

Knowledge systems 

Knowledge-based systems
Course ID
BKI313
Credits
6
Scheduled
1st semester
Level
KI.B3
Prerequisites
Basic Knowledge of AI (e.g. Introduction artificial intelligence [BKI120]
Objectives
The course aims to provide participants with insight into a number of specific aspects that play a role in developing knowledge-intensive systems. The focus is on knowledge modelling and problem solving methods, not so much on implementation and programming techniques. The main developments in a number of relevant topics are discussed and where possible exemplified by existing systems.
Contents

After a general introduction, the following topics are discussed:

  • the meaning of symbols, symbol systems, representations and knowledge;
  • analytic approaches to knowledge system development;
  • handling aspects of time, space, uncertainty and vagueness;
  • formal models of different problem types and examples of classical knowledge systems for those problem types;
  • advanced techniques such as bayesian networks, machine learning, truth maintenance systems.
Literature
  • Stefik, M. (1995). Introduction to knowledge systems. Morgan Kaufman. ISBN 1-55860-166-X
  • supplementary articles
Teaching methods
Discussion sessions that are prepared and introduced in turns by one of the participants.
Information
dr.P.A.Kamsteeg, telf. 3612682, email:
Coördinerend docent
dr. P.A. Kamsteeg
Exam
Twee deeltentamens (open vragen, gesloten boek), schriftelijke inleidingen
Exam information

Type of exam:

Two partial tests consisting of open question (closed book), introduction texts.

Enrollment
verplicht via KISS/TIS tot 2 werkdagen voor aanvang; deze inschrijving geldt tevens voor het tentamen
Extra enrollment information
Compulsory through KISS/TIS until 2 office days before start; this registration is also valid for the tests.
Extra information
The master course Knowledge acquisition for expert systems (MKI33) expands on this course in the form of practical assignments to acquire the necessary knowledge for an expert system.