272 research outputs found
Economia polĂtica II: extractos do relatĂłrio sobre o programa, os conteĂşdos e os mĂ©todos de ensino
Economia polĂtica. MĂ©todos de ensino
Economia polĂtica II: extractos do relatĂłrio sobre o programa, os conteĂşdos e os mĂ©todos de ensino
Economia polĂtica. MĂ©todos de ensino
ABS4GD: a multi-agent system that simulates group decision processes considering emotional and argumentative aspects
Emotion although being an important factor in our every day life it is many times forgotten in the development of systems to be used by persons. In this work we present an architecture for a ubiquitous group decision support system able to support persons in group decision processes. The system considers the emotional factors of the intervenient participants, as well as the argumentation between them.
Particular attention will be taken to one of components of this system: the multi-agent simulator, modeling the human participants, considering emotional characteristics, and allowing the exchanges of hypothetic arguments among the participants
Decision making based on quality-of-information a clinical guideline for chronic obstructive pulmonary disease scenario
Springer - Series Advances in Intelligent and Soft Computing, vol. 79In this work we intend to advance towards a computational model to hold up a Group Decision Support System for VirtualECare, a system aimed at sustaining online healthcare services, where Extended Logic Programs (ELP) will be used for knowledge re-presentation and reasoning. Under this scenario it is possible to evaluate the ELPs making in terms of the Quality-of-Information (QoI) that is assigned to them, along the several stages of the decision making process, which is given as a truth value in the interval 0…1, i.e., it is possible to provide a measure of the value of the QoI that supports the decision making process, an end in itself. It will be also considered the problem ofQoI evaluation in a multi-criteria decision setting, being the criteria to be fulfilled that of a Clinical Guideline (CG) for Chronic Obstructive Pulmonary Disease
Personality, emotion and mood simulation in decision making
In this paper is proposed the integration of personality, emotion and mood aspects for a group of participants in a decision-making negotiation process. The aim is to simulate the participant behavior in that scenario. The personality is modeled through the OCEAN five-factor model of personality (Openness, Conscientiousness, Extraversion, Agreeableness and Negative emotionality). The emotion model applied to the participants is the OCC (Ortony, Clore and Collins) that defines several criteria representing the human emotional structure. In order to integrate personality and emotion is used the pleasure-arousal-dominance (PAD) model of mood
Quality of knowledge in group decision support systems
In this work it is addressed the problem of knowledge evaluation in a VirtualECare Group Decision
Supporting System (GDSS), in terms of an Multi-valued Extended Logic Programming language, which is
aimed at sustaining online healthcare services. Indeed, reasoning with incomplete and uncertain knowledge
have to be dealt with, due to the particular nature of the healthcare services, where the awful consequences
of bad decisions, or lack of timely ones, demand for a responsible answer
Fracture-based interface model for NSM FRP systems in concrete
This paper introduces a numerical simulation tool using the Finite Element Method (FEM) for near-surface mounted (NSM) strengthening technique using fibre reinforced polymers (FRP) applied to concrete elements.
In order to properly simulate the structural behaviour of NSM FRP systems there are three materials (concrete, FRP and the adhesive that binds them) and two interfaces (FRP/adhesive and adhesive/concrete) that shall be considered.
This work presents the major details of a discontinuous-based constitutive model which aims at simulating NSM FRP interfaces implemented in the FEMIX FEM software. This constitutive model was adapted from one available in the literature, originally employed for fracture simulation in meso-scale analyses of quasi-brittle materials, which is based on the classical Flow Theory of Plasticity combined with fracture mechanics concepts. The most important features of the implemented constitutive model are the consideration of both fracture modes I and II and the possibility of performing 2D and 3D analysis.
In the end, results based on FEM simulations are presented with the aim of investigating the soundness and accuracy of the constitutive model to simulate NSM FRP systems’ interfaces
Quality of information in the context of ambient assisted living
SĂ©rie : Advances in Soft Computing, vol. 50With the use of new computational technologies and novel methodologies
for problem solving, recurring to the use of Group Decision Support Systems,
normally the problem of incomplete information is marginalized as if we were living
in an ideal world. Common sense tells us that in the precise time a decision is make
it is impossible to know all the information regarding to it, however decisions must
be made. What we propose, in the ambit of the VirtualECare project, is a possible
solution to decision making, through the use of Group Decision Support Systems,
aware of incomplete information but, even so, able to make decisions based in the
quality of the information and its source
Group decision making and quality-of-information in e-Health systems
Knowledge is central to the modern economy and society. Indeed, the knowledge society has transformed
the concept of knowledge and is more and more aware of the need to overcome the lack of knowledge when has to
make options or address its problems and dilemmas. One`s knowledge is less based on exact facts and more on
hypotheses, perceptions or indications. Even when we use new computational artefacts and novel methodologies for
problem solving, like the use of Group Decision Support Systems (GDSS), the question of incomplete information is
in most of the situations marginalized. On the other hand, common sense tells us that when a decision is made it is
impossible to have a perception of all the information involved and the nature of its intrinsic quality. Therefore,
something has to be made in terms of the information available and the process of its evaluation. It is under this
framework that a Multi-valued Extended Logic Programming language will be used for knowledge representation
and reasoning, leading to a model that embodies the Quality-of-Information (QoI) and its quantification, along the
several stages of the decision making process. In this way it is possible to provide a measure of the value of the QoI
that supports the decision itself. This model will be here presented in the context of a GDSS for VirtualECare, a
system aimed at sustaining online healthcare services
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