In this document we present an ongoing experiment for the creation of a specialized ontology, ontoPrivacy, for the Italian Privacy legislation domain. Taking into consideration some previous work in the legal domain, the aim of our project is to give, by using a bottom-up approach, a conceptual organization of a selected glossary extracted from the Italian Personal Data Protection Code. The con...

Este trabalho propõe uma integração da abordagem CREWS L’ecritoire baseado em cenários com a abordagem de casos de usos descrita por Regnell et al e o Método GBRAM baseado em objetivos. Dessa forma são adicionados ao trabalho de Regnell et al a noção de pedaço de requerimento (RC), as estratégias de descoberta do objetivo através dos relacionamentos AND, OR e de refinamento entre RCs, além de e...

This paper proposes and describes an architecture that enables the identification and spreading of green norms in agent societies and the eventual elevation of green norms into policies. Using a real world case study on duplex printing, this paper demonstrates how norms can be identified and also discusses approaches for spreading norms. Using an agent-based simulation study of the energy conse...

We humans are easily able to instantaneously detect the regions in a visual scene that are most likely to contain something of interest. Exploiting this pre-selection mechanism called visual attention for image and video processing systems would make them more sophisticated and therefore more useful. This paper briefly describes various computational models of human visual attention and their d...

Agent-based Modelling appears as a promising analytical tool when it comes to a lasting question: in how far did different institutions affect the social and economic outcomes of societies? Taking an incremental step to address this question, we present a refined approach that combines existing institution representations (the structure) with a norm identification process to systematically ‘gro...

Model trees are an extension of regression trees that associate leaves with multiple regression models. In this paper a method for the top-down induction of model trees is presented, namely the Stepwise Model Tree Induction (SMOTI) method. Its main characteristic is the induction of trees with two types of nodes: regression nodes, which perform only straight-line regression, and split nodes, wh...

This paper presents a system framework to support the collaborative top-down assembly design. As the first step, the framework is devised to enable distributed designers to conduct collaborative layout design, 3D skeleton design and detailed design of a product in a top-down manner in a distributed environment. To effectively support the collaborative top-down assembly design, a multi-resolutio...

Im Rahmen der Umsetzung der europäischen Wasserrahmenrichtlinie sind die Auswirkungen menschlicher Tätigkeit auf die Wasserkörper zu ermitteln. Für den Bereich der Landwirtschaft kann dies mit Hilfe von Nährstoffbilanzen erfolgen. Modelle nach dem top-down-Ansatz hatten in der Vergangenheit häufig das Problem, auf Grund stark aggregierter Eingangsdaten ungenaue Ergebnisse zu liefern. Durch die ...

This paper describes a network-oriented model based on the neuroscientist Graziano’s Attention Schema Theory for consciousness. This theory describes an attention schema as an internal model of the attention process supporting the control of attention, similar to how our mind uses a body schema as an internal model of the body to control its movements. The Attention Schema Theory comes with a n...

In this paper we propose an agent-based modeling study to assess policy options towards technological interventions to energy consumption behavior, in particular products also known as ‘Transformational Products’. They are novel domestic heating energy efficiency enabling devices, designed to change heating behavior of their users. Innovative behavior can then trigger social learning, i.e. prop...