We present work on a tool environment for model-based testing with the Abstract State Machine Language (AsmL). Our environment supports semiautomatic parameter generation, call seq...
Michael Barnett, Wolfgang Grieskamp, Lev Nachmanso...
This paper describes a framework to construct interface agents with example dialogs based on the tasks by the machine learning technology. The Wizard of Oz method is used to collec...
Realistic domains for learning possess regularities that make it possible to generalize experience across related states. This paper explores an environment-modeling framework tha...
We take a fresh look at the problem of how to check safety properties of finite state machines. We are particularly interested in checking safety properties with the help of a SAT-...
A sequence is said to be k-automatic if the nth term of this sequence is generated by a finite state machine with n in base k as input. Regular sequences were first defined by ...