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
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