RT Conference Proceedings
T1 Learning sequences of rules using classifier systems with tags
A1 Sanchis de Miguel, María Araceli
A1 Molina López, José Manuel
A1 Isasi, Pedro
A1 Segovia, Javier
AB The objective of this paper was to obtain an encoding structure that would allow the genetic evolution of rules in such a manner that the number of rules and relationship in a classifier system (CS) would be learnt in the evolution process. For this purpose, an area that allows the definition of rule groups has been entered into the condition and message part of the encoded rules. This area is called internal tag. This term was coined because the system has some similarities with natural processes that take place in certain animal species, where the existence of tags allows them to communicate and recognize each other. Such CS is called a tag classifier system (TCS). The TCS has been tested in the game of draughts and compared with the classical CS. The results show an improving of the CS performance.
PB IEEE
SN 0-7803-5731-0
YR 1999
FD 1999-10
LK https://hdl.handle.net/10016/4050
UL https://hdl.handle.net/10016/4050
LA eng
NO IEEE International Conference on Systems, Man, and Cybernetics. Tokyo, 12-15 October 1999.
DS e-Archivo
RD 18 may. 2024