5 resultados para self-respect framework

em Universidade Federal do Rio Grande do Norte(UFRN)


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Distributed multimedia systems have highly variable characteristics, resulting in new requirements while new technologies become available or in the need for adequacy in accordance with the amount of available resources. So, these systems should provide support for dynamic adaptations in order to adjust their structures and behaviors at runtime. This paper presents an approach to adaptation model-based and proposes a reflective and component-based framework for construction and support of self-adaptive distributed multimedia systems, providing many facilities for the development and evolution of such systems, such as dynamic adaptation. The propose is to keep one or more models to represent the system at runtime, so some external entity can perform an analysis of these models by identifying problems and trying to solve them. These models integrate the reflective meta-level, acting as a system self-representation. The framework defines a meta-model for description of self-adaptive distributed multimedia applications, which can represent components and their relationships, policies for QoS specification and adaptation actions. Additionally, this paper proposes an ADL and architecture for model-based adaptation. As a case study, this paper presents some scenarios to demonstrate the application of the framework in practice, with and without the use of ADL, as well as check some characteristics related to dynamic adaptation

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The main thesis to be demonstrated in this work is that cognitive enhancement through the use of drugs can be included as a primary good within Rawls' thinking. To develop such notion, the text is structured in two parts. The first part intends to describe the theory of justice as equity in its elements directly related to primary goods. The first information to be verified is the unity of the notion of primary goods in all of Rawls' work. Some elements are modified, for example the distinction of natural and social primary goods. Natural primary goods are intelligence, health, imagination, vigor and chance (luck) and social primary goods are law and liberty, opportunity and power, income and wealth and the social fundaments of self-respect. The perception of some talents such as intelligence has also undergone changes, being altered from "higher intelligence" to "educated intelligence". Such fact highlights education as a primary good that permeates all of Rawls' work in different perspectives. Freedom and self-respect are social-primary goods that will also be deepened. The second part presents the definition of improvement and as to show that the distinction between enhancement and treatment is controversial. The part presents the definition of improvement and as the distinction between enhancement and treatment is controversial. Thus, we have deepened the problems related to practice improvement (enhancement) showing how the concepts of Rawls' primary goods as freedom and self-respect are not in opposition to the practice of improvement, particularly cognitive enhancement. We have shown, instead, that the ban of cognitive improvement could lead to denial of these primary goods. But how could we consider cognitive improvement as a primary social good? What we have done in this thesis is to show how cognitive enhancement is important to ensure that primary products are accessible to citizens, and we rebuilt the process that Rawls uses for choosing his primary goods to test that cognitive enhancement through drugs could perfectly be introduced as such.

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The main thesis to be demonstrated in this work is that cognitive enhancement through the use of drugs can be included as a primary good within Rawls' thinking. To develop such notion, the text is structured in two parts. The first part intends to describe the theory of justice as equity in its elements directly related to primary goods. The first information to be verified is the unity of the notion of primary goods in all of Rawls' work. Some elements are modified, for example the distinction of natural and social primary goods. Natural primary goods are intelligence, health, imagination, vigor and chance (luck) and social primary goods are law and liberty, opportunity and power, income and wealth and the social fundaments of self-respect. The perception of some talents such as intelligence has also undergone changes, being altered from "higher intelligence" to "educated intelligence". Such fact highlights education as a primary good that permeates all of Rawls' work in different perspectives. Freedom and self-respect are social-primary goods that will also be deepened. The second part presents the definition of improvement and as to show that the distinction between enhancement and treatment is controversial. The part presents the definition of improvement and as the distinction between enhancement and treatment is controversial. Thus, we have deepened the problems related to practice improvement (enhancement) showing how the concepts of Rawls' primary goods as freedom and self-respect are not in opposition to the practice of improvement, particularly cognitive enhancement. We have shown, instead, that the ban of cognitive improvement could lead to denial of these primary goods. But how could we consider cognitive improvement as a primary social good? What we have done in this thesis is to show how cognitive enhancement is important to ensure that primary products are accessible to citizens, and we rebuilt the process that Rawls uses for choosing his primary goods to test that cognitive enhancement through drugs could perfectly be introduced as such.

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Self-adaptive software system is able to change its structure and/or behavior at runtime due to changes in their requirements, environment or components. One way to archieve self-adaptation is the use a sequence of actions (known as adaptation plans) which are typically defined at design time. This is the approach adopted by Cosmos - a Framework to support the configuration and management of resources in distributed environments. In order to deal with the variability inherent of self-adaptive systems, such as, the appearance of new components that allow the establishment of configurations that were not envisioned at development time, this dissertation aims to give Cosmos the capability of generating adaptation plans of runtime. In this way, it was necessary to perform a reengineering of the Cosmos Framework in order to allow its integration with a mechanism for the dynamic generation of adaptation plans. In this context, our work has been focused on conducting a reengineering of Cosmos. Among the changes made to in the Cosmos, we can highlight: changes in the metamodel used to represent components and applications, which has been redefined based on an architectural description language. These changes were propagated to the implementation of a new Cosmos prototype, which was then used for developing a case study application for purpose of proof of concept. Another effort undertaken was to make Cosmos more attractive by integrating it with another platform, in the case of this dissertation, the OSGi platform, which is well-known and accepted by the industry

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One way to deal with the high complexity of current software systems is through selfadaptive systems. Self-adaptive system must be able to monitor themselves and their environment, analyzing the monitored data to determine the need for adaptation, decide how the adaptation will be performed, and finally, make the necessary adjustments. One way to perform the adaptation of a system is generating, at runtime, the process that will perform the adaptation. One advantage of this approach is the possibility to take into account features that can only be evaluated at runtime, such as the emergence of new components that allow new architectural arrangements which were not foreseen at design time. In this work we have as main objective the use of a framework for dynamic generation of processes to generate architectural adaptation plans on OSGi environment. Our main interest is evaluate how this framework for dynamic generation of processes behave in new environments