Language Understanding and Unified Cognitive Science
Feldman, J.A.
Univ. of California, Berkeley;
This paper appears in: Cognitive Informatics, 6th IEEE International Conference on
Publication Date: 6-8 Aug. 2007
On page(s): 1-1
Location: Lake Tahoo, CA,
ISBN: 978-1-4244-1328-7
INSPEC Accession Number: 9690897
Digital Object Identifier: 10.1109/COGINF.2007.4341866
Current Version Published: 2007-10-08
Abstract
Summary form only given. Artificial intelligence applications, particularly those involving natural language understanding, are actually less ambitious than they, were decades ago. Statistical and machine learning techniques have had great success on tasks that can be treated without understanding, but there are many important areas that require semantic systems. The key to building more powerful AI applications is to model the world knowledge and the linguistic and other basic abilities that people bring to bear. We now know that these abilities can not be fully expressed in abstract formalisms, but require models that map onto human biology and behavior. Cognitive science is the field that is best placed to unite the theory and applications of intelligence. However, as with other fields, there is a tendency to specialize in a narrow sub-domain. This talk will make the case that a unified cognitive science is now possible, based on rapid advances in all the relevant disciplines, including computational modeling, and that there are already applications of this more cognitive approach to AI.
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