Timo Honkela
Helsinki University of Technology
Adaptive Informatics Research Center
Invited talk at N.S.R.C. "Demokritos", Athens, Greece
6th of June, 2006
Abstract
Knowledge representation and reasoning are important areas of
artificial intelligence. They have been considered as the basis for
areas like natural language processing and expert
systems. Traditionally,knowledge representation and reasoning have
been based on certain analytical means, such as first order predicate
logic and related formalisms. Human beings, however, reason in a
probabilistic manner and reasoning is highly contextualised by
relevant prior knowledge and belief. It seems that a division into a
heuristic system and an analytical system can be made. The heuristic
system has evolved early, it is shared with animals, it is rapid and
parallel, has high capacity and is pragmatic. Therefore, considering
the analytical level is not enough as knowledge is based on the
underlying experiential domain. In this presentation, I will consider
the methodology for developing adaptive systems, knowledge
representation and reasoning from various points of view. In
particular, I will discuss the implications on semantic web and
natural language processing technologies.