TIC - A Toolkit for Valication in Formal Language Learning
Volker Dötsch, Klaus P. Jantke · The Florida AI Research Society · 2000
Quite often, heuristics and common sense suggest directions for improving well-known learning algorithms. However it seems not an easy task to verify that the modifications are indeed helpful. This is made more complicated through various additional influences inherent in different application domains. In order to obtain a faithful impression of phenomena that are intrinsic to the algorithms, the role of specific domains should be minimized. Our validation toolkit TIC allows to explore the behaviour of various algorithms for learning formal languages. This is a well-examined and standardized application domain. TIC is operated by interactive as well as automatic control.