Title :
Emergence in Problem Solving, Classification and Machine Learning
Author :
Quinqueton, Joël
Author_Institution :
Dept. of Comput. Sci., LIRMM, Montpellier
Abstract :
Emergence is usually the way in which a collective organisation behaves differently than the sum of its elements. We propose here an overview of different ways this paradigm is used in several fields of artificial intelligence and we propose some theoretical tracks relying on some works in the field of machine learning
Keywords :
emergent phenomena; learning (artificial intelligence); pattern classification; problem solving; artificial intelligence; classification; emergence; machine learning; problem solving; Artificial intelligence; Bridges; Computational modeling; Computer science; Feedback; Legged locomotion; Machine learning; Particle swarm optimization; Problem-solving; Scientific computing;
Conference_Titel :
Symbolic and Numeric Algorithms for Scientific Computing, 2006. SYNASC '06. Eighth International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
0-7695-2740-X
DOI :
10.1109/SYNASC.2006.37
