Knowledge Representation and Modelling

Main characteristics of a knowledge representation language will be studied. Various KR paradigms will be compared with respect to these characteristics. The representation languages will be related to the underlying inference methohds, and syntactical, semantical, and pragmatical aspects of computational representations. Advantages and disadvantages of each paradigm will be analysed. Methods for knowlege analysis and modelling will be investigated. An introduction to ontology notion will be given.

To describe the notions of 'knowledge' and 'representation, and the explain the relationship between these. To describe the main requirements form a reresentation language. To analyse different types of representation paradigms, to explain advantages and disadvantages of each type, to choose the right type of language in a given problem. To discuss why representation is usefull and necessary, and
to discuss why a group of researches argues that representation is not needed. To be able to model the knowledge in a given domain, and decide which knowledge acquisition type is the best one in e given problem setting.

Lectures, guided colloquia, self study, and exercises. Portfolio evaluation is the basis for the grade in the course. The portfolio includes a final oral exam (80%) and semesteroppgave (20%). The results for the parts are given in %-scores, while the entire portfolio is assigned a letter grade. There will be a set og assignments that must be approved in order to take the exam.