Blended solutions provide a means to orchestrate various types of activities and to schedule interactions at different times, nonetheless it is difficult to maintain a general overview of the class. In this paper, we build on the LearnWeb Design Framework to design and implement a Formative Assessment extension that supports the monitoring of the learning process in order to increase awareness ...

This paper is testing a DUAL-based model of memory. The model assumes decentralized representation of episodes as a coalition of agents and analogical transfer processes as the basis for memory reconstruction of our past. It is a model of active reconstruction thereby allowing memory insertions and blending of episodes. The experiment explores the role of the degree of internal connectivity of ...

Several large cloze-style context-questionanswer datasets have been introduced recently: the CNN and Daily Mail news data and the Children’s Book Test. Thanks to the size of these datasets, the associated text comprehension task is well suited for deep-learning techniques that currently seem to outperform all alternative approaches. We present a new, simple model that uses attention to directly...

Humans are complex, evolved, social and cognitive beings. Thus, understanding their behavior is a complex task that requires a comprehensive theoretical repertoire. In this paper, we study the role of human nature in technology acceptance. We come to understand that by expanding our theoretical ontology and blending theories of evolutionary psychology, social, and cognitive psychology into a si...

Looking at collaborative networks of organizations as socialtechnical systems, information and knowledge sharing implies sharing a set of common conceptual structures across organizations. Through this paper, we describe a case study on how to construct meaningful collective conceptualizations by means of a new approach based on conceptual blending theory.

We model the mathematical process whereby new mathematical theories are invented. Here we explain the use of conceptual blending for this purpose, and show examples to illustrate the process in action. Our longerterm goal is to support machine and human mathemat-

The framespace interpolation algorithm abstracts motion sequences as 1D signals, and interpolates between them to create higher dimension signals, with weights drawn from a user specified curve in a bounded region. We reformulate the algorithm to achieve motion-state based transition via dynamic warping of framespaces and automatic transition timing via framespace frequency interpolation. Basis...

We test a simple technique based on breeding to separate fast and slow unstable modes in coupled systems with different time scales of evolution and variable amplitudes. The technique takes advantage of the earlier saturation of error growth rate of the fastest mode and of the lower value of the saturation amplitude of perturbation of either the fast or the slow modes. These properties of the c...