Cognitive agents are continuously faced with new problems. To facilitate adaptation, emerging theories of neural reuse propose that evolution might often favor re-purposing existing brain structures for new functions. This paper presents a novel approach to the study of neural reuse based on the evolution of simulated agents in an object-categorization task. We artificially evolve populations o...

Web pages often embed scripts for a variety of purposes, including advertising and dynamic interaction. Understanding embedded scripts and their purposes can often help to interpret or provide crucial information about the web page. I have developed a functionality-based categorization of JavaScript, the most widely used web page scripting language. I then view understanding embedded scripts as...

A recommendation system for an extended process of information retrieval in distributed information systems is proposed. This system is both a model of dynamic cognitive categorization processes and powerful real application useful for knowledge management. It utilizes an extension of fuzzy sets named evidence sets as the mathematical mechanisms to implement the categorization processes. It is ...

Common approaches to text categorization essentially rely either on n-gram counts or on word embeddings. This presents important difficulties in highly dynamic or quickly-interacting environments, where the appearance of new words and/or varied misspellings is the norm. A paradigmatic example of this situation is abusive online behavior, with social networks and media platforms struggling to ef...

Web pages often embed scripts for a variety of purposes, including advertising and dynamic interaction. Understanding embedded scripts and their purpose can often help to interpret or provide crucial information about the web page. We have developed a functionality-based categorization of JavaScript, the most widely used web page scripting language. We then view understanding embedded scripts a...

In everyday interactions, people have to deal with the sight of a face and sound of a voice at the same time. How the perceptual system brings this information together remains unclear. In 2 studies, we investigated how facial and vocal cues are integrated during social categorization by recording participants’ hand movements (via the x, y coordinates of the computer mouse) en route to ”male” a...

Research in affective computing and educational technology has shown the potential of affective interventions to increase student’s self-concept and motivation while learning. Our project aims to investigate whether the use of affective interventions in a meta-cognitive tutor can help students achieve deeper modeling of dynamic systems by being persistent in their use of metacognitive strategie...

Abstract Towards the achievement of zero-emission buildings, conventional envelope solutions have started to become outdated. The concept Dynamic thermal insulation is an innovative approach, still under development, that attracts a continuously and fast growing scientific research interest, mainly due its perfect alignment with targets zero-carbon future. aim this study investigate variety suc...

We show that the intelligent use of one small piece of contextual information–a document’s publication date–can improve the performance of classifiers trained on a text categorization task. We focus on academic research documents, where the date of publication undoubtedly has an effect on an author’s choice of words. To exploit this contextual feature, we propose the technique of temporal featu...