A lot of the created AI Systems nd their end in the "wastebasket of academic solutions". The authors are convinced, that the main reason of this dilemma is the fact that nobody can really prove the validity of his system. This is no surprise, because expectations of users usually can't be formalized. One way out of this dilemma is using a test case methodology for system validation. The paper p...

Sensor based perception promises to be the basis for a wide array of novel interaction mechanisms, which may change the way we interact with ubiquitous computing systems. Sensors based perception however, has imperfections resulting in drawbacks such as uncertainty and latency. Consequently, the improvement of sensors and perception methods is important. In this paper we argue however that impe...

We examine stability under learning of sunspot equilibria in Real Business Cycle type models with indeterminacies. Our analysis emphasizes the importance of examining alternative representations of sunspot solutions. A general bivariate reduced form contains parameter regions in which sunspots are stable under learning. However, for parameters restricted to those generated by standard models of...

The case-based reasoning (CBR) process solves problems by retrieving prior solutions and adapting them to t new circumstances. Many studies examine how case-based reasoners learn by storing new cases and reening the indices used to retrieve cases. However, little attention has been given to learning to reene the process for applying retrieved cases. This paper describes research investigating h...

In this present study analytical method based on Riccati Equation as for converting the Nonlinear Lakshmanan-Porsezian-Daniel (LPD) equation into the nonlinear ODE and finding soliton solutions of this sustem discused. Obtaining solutions are new and obtained from wave transformation. The obtained results show that the presented method is effective and appropriate for solving nonlinear differen...