DocumentCode
950426
Title
Representation as a Fluent: An AI Challenge for the Next Half Century
Author
Bundy, Alan ; McNeill, Fiona
Author_Institution
Sch. of Informatics, Edinburgh Univ.
Volume
21
Issue
3
fYear
2006
Firstpage
85
Lastpage
87
Abstract
The authors argued that AI systems must be able to manipulate their own internal representations automatically to deal with an infinitely complex and ever-changing world and to scale up to rich, complex applications. Such manipulation must go beyond changing beliefs and learning new concepts in terms of old concepts; it must be able to change ontology´s underlying syntax and semantics. Initial progress has been made, but further progress is urgently needed owing to the demands of autonomous multiagent systems. Understanding and implementing this ability must be a major focus of AI for the next 50 years
Keywords
multi-agent systems; ontologies (artificial intelligence); AI system; autonomous multiagent system; ontology learning; Artificial intelligence; Decision trees; Fault diagnosis; Feeds; Humans; Merging; Multiagent systems; Ontologies; Runtime; fault diagnosis; knowledge representation; multiagent systems; ontology matching; planning;
fLanguage
English
Journal_Title
Intelligent Systems, IEEE
Publisher
ieee
ISSN
1541-1672
Type
jour
DOI
10.1109/MIS.2006.56
Filename
1637360
Link To Document