In this paper, a restricted domain question answering (QA) system is described. The design architecture of this QA system and the features that allow the adaptation of the QA system to the medical domain are also presented. The advantages of…

In this paper, we build on previous work on Belief Revision operators based on the use of logic programming with Answer Set semantics as a representation language. We present a set of postulates for Answer Set Revision with respect to…

Much Learning is done by way of studying precedents and exercises. A teacher supplies a story, gives a problem, and expects a student both to solve a problem and to discover a principle. The student must find the correspondence between…

Emerging international research suggests that
enhancing teacher-student assessment for learning
(AfL) interactions is a key to enhancing student
learning. Planning frameworks that make explicit the
multiple dimensions of technology can be used to
extend teacher knowledge and focus interaction.
Effective…

There are many situations in which a very detailed low-level description encodes, through a hierarchical organization, a recognizable higher-order pattern. The macro-molecular structural conformations of proteins exhibit higher order regularities whose recognition is complicated by many factors. ARIADNE searches for…

With this article, we wish to make a contribution to the
ongoing debate about the nature of technological literacy,
by sharing our views of what goals are important to strive
for within technology as a school subject in compulsory
school,…

The main purpose of this article is to contribute to a better understanding of the organizational sources pertaining to continuous innovation. This work identifies a set of best practices, which once integrated, create the innovative activities that help organizations to…

This paper presents a novel algorithm for learning in a class of stochastic Markov decision processes (MDPs) with continuous state and action spaces that trades speed for accuracy. A transform of the stochastic MDP into a deterministic one is presented…

We had previously shown that regularization principles lead to approximation schemes, as Radial Basis Functions, which are equivalent to networks with one layer of hidden units, called Regularization Networks. In this paper we show that regularization networks encompass a much…

Professor of Psychology at the University of Delhi (North Campus) Dr. Ashok Nagpal with his mentor Dr. Sudhir Kakar made pioneering efforts in developing psychology into a culturally sensitive and socially relevant discipline. Using psychoanalysis as a model they sought…