Knowledge Representation and Reasoning
author: Maurice Pagnucco,
School of Computer Science and Engineering, University of New South Wales
published: April 1, 2009, recorded: February 2009, views: 13975
published: April 1, 2009, recorded: February 2009, views: 13975
Related content
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Watch videos: (click on thumbnail to launch)
Part 1 54:59
Part 2 59:05
Part 3 1:05:45
Description
Research in knowledge representation and reasoning has a long history in artificial intelligence and logic-based approaches have played a major part in the fields development. In this course we will survey logic-based in KRR from non-monotonic logics though to description logics and the semantic web.
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Reviews and comments:
The title of the lecture does not specify if the content is intended for creating a reasoning machine/systems or to provide tools for a human agent to reason about situations or problem.
To clarify this ambiguity I tried to apply to the content of the lecture type of reasoning methods and knowledge representation made recently popular by a system called CYC (Doug Lenat).
My intuition tells me the lecture is intended for human agents working on finding solutions in complex systems using structured approach.
My hypothesis is based on the observation that many assertions made in the lecture are ambiguous to be well understood and used by a machine since they rely on common sense and domain specific knowledge and expert judgements.
Write your own review or comment: