- author = "Herman H. Ehrenburg and H. A. N. {van Maanen}",
- title = "A Finite Automaton Learning System Using Genetic Programming",
- institution = "Department of Computer Science, CWI, Centrum voor Wiskunde en Informmatica",
- year = "1994",
- type = "NeuroColt Tech Rep",
- number = "CS-R9458",
- address = "CWI, P.O. Box 94079, 1090 GB Amsterdam, The Netherlands",
- keywords = "genetic algorithms, genetic programming, Evolutionary Computing, finite automata",
-
URL = "
ftp://ftp.cwi.nl/pub/CWIreports/AA/CS-R9458.ps.Z",
-
URL = "
http://ftp.cwi.nl/CWIreports/AA/CS-R9458.pdf",
-
URL = "http://www.neurocolt.org/abs/1995/../../tech_reps/1995/nc-tr-95-009.ps.gz",
-
URL = "
http://citeseer.ist.psu.edu/427245.html",
-
abstract = "This report describes the Finite Automaton Learning
System (FALS), an evolutionary system that is designed
to find small digital circuits that duplicate the
behavior of a given finite automaton. FALS is developed
with the aim to get a better insight in learning
systems. It is also targeted to become a general
purpose automatic programming system.
The system is based on the genetic programming approach to evolve programs for tasks instead of explicitly programming them. A representation of digital circuits suitable for genetic programming is given as well as an extended crossover operator that alleviates the need to specify an upper bound for the number of states in advance.",
-
notes = "
Also available as NC-TR-95-009",
- size = "40 pages",
