Title :
Gael: a generic multi-agent meta-programming method
Author_Institution :
LAMSADE, Univ. Paris Dauphine, France
fDate :
6/21/1905 12:00:00 AM
Abstract :
We propose a generic multi-agent collective metaprogramming language and method. Nowadays, a fair amount of research work is learning oriented, but there is none which defines an operational collective (multi-agent) meta-programming method and language. Our method (Gael) is an extension of the explanation-based learning method (EBL) suggested by (Minton et al., 1989)
Keywords :
explanation; inference mechanisms; learning (artificial intelligence); multi-agent systems; object-oriented programming; Gael; collective reasoning; dynamic programming; explanation-based learning; generic multi-agent meta-programming method; operational collective meta-programming method; Computer languages; Concurrent computing; Costs; Distributed algorithms; Dynamic programming; Learning systems; Multiagent systems; Problem-solving;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.823333
