Date of Award
2009
Document Type
Thesis
Degree Name
Master of Science in Computer Science
Department
School of Computer Science and Engineering
First Advisor
Georgiou, George M.
Second Advisor
Voigt, Kerstin
Third Advisor
Gomez, Ernesto
Abstract
The purpose of this thesis will be to demostrate the feasibility of building a system that is capable of automatically learning how to increase performance at a task that is presented to it by means of modeling the problem with a finite automation and the learning engine of FABLE. Current work in the field of automatic learning of FA's (Finite Automation) is mostly focused on the building of the FA itself. This thesis will instead focus on the automated building of FA models to allow better decisions to be made in the future.
Recommended Citation
Jackson, Ryan Michael, "Fable: Finite automata based learning engine" (2009). Theses Digitization Project. 3622.
https://scholarworks.lib.csusb.edu/etd-project/3622
