DocumentCode :
2858990
Title :
An Agent for Constraint Acquisition and Emergence
Author :
Quinqueton, Joël ; Raymond, Gilles ; Bessière, Christian
Author_Institution :
LIRMM, Montpellier
fYear :
2007
fDate :
26-29 Sept. 2007
Firstpage :
229
Lastpage :
234
Abstract :
Emergence is usually used to denote a collective phenomenon in which the whole organization behaves differently than the sum of its elements. We first present some general ideas about emergence, then recall some useful definitions in the fields of machine learning and constraint satisfaction problems, and finally present our work on constraint acquisition as a generalization process.
Keywords :
constraint theory; generalisation (artificial intelligence); learning (artificial intelligence); operations research; constraint acquisition; constraint satisfaction problems; emergence; generalization process; machine learning; Animals; Computer science; Government; Legged locomotion; Machine learning; Problem-solving; Protection; Routing; Scholarships; Scientific computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing, 2007. SYNASC. International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-0-7695-3078-8
Type :
conf
DOI :
10.1109/SYNASC.2007.80
Filename :
4438103
Link To Document :
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