Cognition and Representation

Lecturer Janos Sarbo


What is CR?

The term 'representation' usually refers to formalization, including a deductive or inductive use of formalized knowledge. This view, maintained by computer science, is opposed to the interpretation of knowledge by cognitive theory, according to which it is an expression of thoughts by a human observer. In this course we learn how these two conceptions of knowledge, formal and meaningful, can be linked with one another.

We raise the questions:

  • What are the rules of meaningful representation?
  • How can ontologies be specified systematically?

  • In order to answer these questions we introduce a knowledge representation on the basis of a theory of cognitive activity and a theory of signification. In addition we learn how this representation can be uniformly used for modeling knowledge in different domains such as logic, reasoning, natural language and mathematics. We illustrate the potential of our uniform knowledge representation with an application in meaningful text summarization.



    What can you learn in this course?

    Form of lecturing

    Lectures and classroom exercises



    Assignments

    Weekly assignments, submitted via a drop-box on Blackboard. Deadline of assignments: 5pm on the day preceding the subsequent next class.

    Information over grades: via Blackboard.



    Final grade

    The final mark is an average of

  • the grade for the midterm test (not lower than 5.0)
  • the grade for the final exam (not lower than 5.0).

  • This value can be positively adjusted by average of the grades for the weekly assignments.

    Lecture notes

    Lecture notes and assignments will be made available via Blackboard. For the research project providing the theory for this course see KiF.



    Course evaluation

    2011 (txt), 2010 (txt), 2009 (txt), 2008 (txt), 2007 (txt), 2006 (txt), 2005 (txt), 2004 (txt), 2003 (txt)