The purpose of the study was to investigate whether teachers’ knowledge of student assessment was influenced by their gender and if it was related to their teaching experience (years in education). One hundred and twenty six physical education teachers (n=126)…

With the advancement of technology, we are able to collect, store, and transmit an ever-increasing volume of data. However, our ability to extract useful patterns from this massive amount of data is still lagging behind. Machine learning and signal processing…

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Population size has been a matter of concern for rulers and states for centuries. Fears of over- and under-population led to extensive political debate and the implementation of numerous policies…

Defeasible Logic Programming (DeLP) is a knowledge representation and reasoning formalism that by combining Logic Programming with Defeasible Argumentation is able to represent incomplete and potentially contradictory information.
Within the field of Logic Programming, most of the implementations of Prolog…

The project “hedgerow” is a cooperation between the head of the nature conservation project “Altmühlleiten”, the assistant professor of the department of didactics of geography of the Catholic University of Eichstätt, and pupils of a primary school. The aim of…

Detecting and characterizing extrasolar planets has become a very relevant field in Astrophysics. There are several methods to achieve this, but by far the most difficult and potentially most rewarding approach is direct imaging of the planets. Coronagraphs can be…

Yes or no is perhaps the most common answer we provide each day. Indeed, binary answers to well structured questions are the building blocks of our knowledge. I started my research career in drafting such answers in various circumstances within…

An application of Zadeh’s prototype theory in the Knowledge Acquisition process, is presented here, and as a practical example, to define a method for predicting the evolution of the forest fire occurrence-danger rate in INCEND-IA: A KBS for prediction and…

In this paper we introduce a probabilistic approach to support visual supervision and gesture recognition. Task knowledge is both of geometric and visual nature and it is encoded in parametric eigenspaces. Learning processes for compute modal subspaces (eigenspaces) are the…

The main advantage of a recurrent architecture is the ability to store information from prior system states. A recurrent fuzzy controller includes hidden fuzzy variables which makes the controller more appropriate to deal with dynamic systems. We are currently investigating…