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 :
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