Building an Ontology of Product/Service-Systems: Using a Maritime Case Study to Elicit Classifications and Characteristics

Part 4: Transition Towards Product-Service Systems

Context-aware emotion-based model for group decision making

Involving groups in important management processes such as decision making has several advantages. By discussing and combining ideas, counter ideas, critical opinions, identified constraints, and alternatives, a group of individuals can test potentially better solutions, sometimes in the form of new products, services, and plans. In the past few decades, operations research, AI, and computer science have had tremendous success creating software systems that can achieve optimal solutions, even for complex problems. The only drawback is that people don’t always agree with these solutions. Sometimes this dissatisfaction is due to an incorrect parameterization of the problem. Nevertheless, the reasons people don’t like a solution might not be quantifiable, because those reasons are often based on aspects such as emotion, mood, and personality. At the same time, monolithic individual decisionsupport systems centered on optimizing solutions are being replaced by collaborative systems and group decision-support systems (GDSSs) that focus more on establishing connections between people in organizations. These systems follow a kind of social paradigm. Combining both optimization- and socialcentered approaches is a topic of current research. However, even if such a hybrid approach can be developed, it will still miss an essential point: the emotional nature of group participants in decision-making tasks. We’ve developed a context-aware emotion based model to design intelligent agents for group decision-making processes. To evaluate this model, we’ve incorporated it in an agent-based simulator called ABS4GD (Agent-Based Simulation for Group Decision), which we developed. This multiagent simulator considers emotion- and argument based factors while supporting group decision-making processes. Experiments show that agents endowed with emotional awareness achieve agreements more quickly than those without such awareness. Hence, participant agents that integrate emotional factors in their judgments can be more successful because, in exchanging arguments with other agents, they consider the emotional nature of group decision making.

DIGRA (Digital Graffiti) um protótipo de apoio à realização de percursos topográficos

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

Gridifying IBM's Generic Log Adapter to Speed-Up the Processing of Log Data

Peer-reviewed

Efficient Peer Selection in P2P JXTA-Based Platforms

Peer-reviewed

Bidding support for computational resources

Peer-reviewed

An architecture for decentralized service deployment

Peer-reviewed

Understanding the Intersectoral Collaboration of Rural Community Health Workers and Teachers: The Example of Addressing Violence against Women and Girls in Vulindlela, South Africa

Objectifs: Cette étude a documenté la collaboration intersectorielle entre les agents de santé communautaires (ASC) et les enseignants visant à combattre la violence à l’égard des femmes et des filles à Vulindlela, une communauté rurale Sud-Africaine. La collaboration entre ces acteurs, les facteurs qui influencent leur collaboration et les avenues possibles pour une amélioration de cette collaboration ont été explorés. Méthodes: Six ASC et cinq enseignants ont pris part à cette recherche participative qui a inclut l'utilisation du dessin comme méthodologie visuelle. La collecte de données a été réalisée en quatre phases, avec un total de huit entretiens de groupes. La stratégie d’analyse principale a inclus une approche dirigée du contenu narratif et une approche de comparaison constante. Résultats: Le système de collaboration entre les enseignants et les ASC manque de définition et ces acteurs ne peuvent donc en faire l’utilisation. Par conséquent la collaboration actuelle entre ces acteurs a été jugée peu développé, impromptue et informelle. De nombreuses contraintes à la collaboration ont été identifiées, y compris le manque de motivation de la part des enseignants, la nature des relations entre les acteurs, et la capacité individuelle limitée des ASC. Conclusion: Compte tenu des nombreuses contraintes à la collaboration entre ces ASC et les enseignants, il n'est pas évident que cette collaboration conduira aux résultats espérés. Dans l'absence de motivation suffisante et d’une prise de conscience réaliste des défis par les acteurs eux-mêmes, les initiatives externes pour améliorer la collaboration sont peu susceptibles de succès.

Uma Aplicação do Algoritmo QT Clustering para Marcação Colaborativa de Pontos Perigosos em Vias Públicas

This work proposes a collaborative system for marking dangerous points in the transport routes and generation of alerts to drivers. It consisted of a proximity warning system for a danger point that is fed by the driver via a mobile device equipped with GPS. The system will consolidate data provided by several different drivers and generate a set of points common to be used in the warning system. Although the application is designed to protect drivers, the data generated by it can serve as inputs for the responsible to improve signage and recovery of public roads