54 resultados para Inteligência escalável
Resumo:
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.
Resumo:
Reading and writing are essential rights, which involve individual and social aspects; in addition, these skills are important when it comes to socio economic and political development, critical thinking and an active participation in society (UNESCO 2005). From a neurobiological standpoint, our brain is not prepared for reading, and this practice must be deliberately acquired via instructional guidance (DEHAENE 2009). However, reading disorders and deficits within executive functions, such as low working memory capacity, can make reading arduous. The aim of this study is to investigate the development of reading skills within 45 third grade students from public schools in the city of Natal – RN and its connection to working memory capacity, through information gathered from the Provinha Brasil, data generated from working memory tasks (Portuguese version of AWMA - Automated Working Memory Assessment) and fluid intelligence measures RAVEN. Based on this main objective, we attempted to answer the following research questions: (a) What are the correlations between working memory and reading scores?; (b) What characterizes the relationship between working memory capacity and the risk of reading disabilities amongst the participants in this study?; Following a quantitative research methodology, the Provinhas Brasil from 3rd grade students belonging to the six public schools members of Project ACERTA - Avaliação de Crianças em Risco de Transtornos de Aprendizagem (CAPES/OBEDUC)- were analyzed and compared to the scores from the working memory tests and the fluid intelligence ones. Results indicate that reading skills within children at risk of reading disabilities are directly linked to working memory capacity, especially with regards to the phonological component. It is also evident that the participants with less working memory capacity show more difficulties in the reading abilities that demand interpretation skills. Thus, we intend to contribute to the discussion regarding the diagnosis of reading disabilities and possible intervention strategies.
Resumo:
Reading and writing are essential rights, which involve individual and social aspects; in addition, these skills are important when it comes to socio economic and political development, critical thinking and an active participation in society (UNESCO 2005). From a neurobiological standpoint, our brain is not prepared for reading, and this practice must be deliberately acquired via instructional guidance (DEHAENE 2009). However, reading disorders and deficits within executive functions, such as low working memory capacity, can make reading arduous. The aim of this study is to investigate the development of reading skills within 45 third grade students from public schools in the city of Natal – RN and its connection to working memory capacity, through information gathered from the Provinha Brasil, data generated from working memory tasks (Portuguese version of AWMA - Automated Working Memory Assessment) and fluid intelligence measures RAVEN. Based on this main objective, we attempted to answer the following research questions: (a) What are the correlations between working memory and reading scores?; (b) What characterizes the relationship between working memory capacity and the risk of reading disabilities amongst the participants in this study?; Following a quantitative research methodology, the Provinhas Brasil from 3rd grade students belonging to the six public schools members of Project ACERTA - Avaliação de Crianças em Risco de Transtornos de Aprendizagem (CAPES/OBEDUC)- were analyzed and compared to the scores from the working memory tests and the fluid intelligence ones. Results indicate that reading skills within children at risk of reading disabilities are directly linked to working memory capacity, especially with regards to the phonological component. It is also evident that the participants with less working memory capacity show more difficulties in the reading abilities that demand interpretation skills. Thus, we intend to contribute to the discussion regarding the diagnosis of reading disabilities and possible intervention strategies.
Resumo:
This research seeks to understand how the problem of information security is treated in Brazil by the public thematization and also how it can affect the political and economic aspects of both Brazilian companies and government by using a study case based on the document leak event of the National Security Agency by Snowden. For this, the study case of sites, blogs and news portal coverage was carried out from the perspective of evidential paradigm, studies of movement and event concept. We are interested in examining how the media handles the information security topic and what its impact on national and international political relations. The subject matter was considered the largest data leakage in history of the NSA, which ranks as the world's largest agency of expression intelligence. This leak caused great repercussions in Brazil since it was revealed that the country was the most watched by the United States of America, behind only USA itself. The consequences were: a big tension between Brazil and the US and a public discussion about privacy and freedom on Internet. The research analyzed 256 publications released by Brazilian media outlets in digital media, in the period between June and July 2013.
Resumo:
This research seeks to understand how the problem of information security is treated in Brazil by the public thematization and also how it can affect the political and economic aspects of both Brazilian companies and government by using a study case based on the document leak event of the National Security Agency by Snowden. For this, the study case of sites, blogs and news portal coverage was carried out from the perspective of evidential paradigm, studies of movement and event concept. We are interested in examining how the media handles the information security topic and what its impact on national and international political relations. The subject matter was considered the largest data leakage in history of the NSA, which ranks as the world's largest agency of expression intelligence. This leak caused great repercussions in Brazil since it was revealed that the country was the most watched by the United States of America, behind only USA itself. The consequences were: a big tension between Brazil and the US and a public discussion about privacy and freedom on Internet. The research analyzed 256 publications released by Brazilian media outlets in digital media, in the period between June and July 2013.
Resumo:
The Artificial Neural Networks (ANN), which is one of the branches of Artificial Intelligence (AI), are being employed as a solution to many complex problems existing in several areas. To solve these problems, it is essential that its implementation is done in hardware. Among the strategies to be adopted and met during the design phase and implementation of RNAs in hardware, connections between neurons are the ones that need more attention. Recently, are RNAs implemented both in application specific integrated circuits's (Application Specific Integrated Circuits - ASIC) and in integrated circuits configured by the user, like the Field Programmable Gate Array (FPGA), which have the ability to be partially rewritten, at runtime, forming thus a system Partially Reconfigurable (SPR), the use of which provides several advantages, such as flexibility in implementation and cost reduction. It has been noted a considerable increase in the use of FPGAs for implementing ANNs. Given the above, it is proposed to implement an array of reconfigurable neurons for topologies Description of artificial neural network multilayer perceptrons (MLPs) in FPGA, in order to encourage feedback and reuse of neural processors (perceptrons) used in the same area of the circuit. It is further proposed, a communication network capable of performing the reuse of artificial neurons. The architecture of the proposed system will configure various topologies MLPs networks through partial reconfiguration of the FPGA. To allow this flexibility RNAs settings, a set of digital components (datapath), and a controller were developed to execute instructions that define each topology for MLP neural network.
Resumo:
The Artificial Neural Networks (ANN), which is one of the branches of Artificial Intelligence (AI), are being employed as a solution to many complex problems existing in several areas. To solve these problems, it is essential that its implementation is done in hardware. Among the strategies to be adopted and met during the design phase and implementation of RNAs in hardware, connections between neurons are the ones that need more attention. Recently, are RNAs implemented both in application specific integrated circuits's (Application Specific Integrated Circuits - ASIC) and in integrated circuits configured by the user, like the Field Programmable Gate Array (FPGA), which have the ability to be partially rewritten, at runtime, forming thus a system Partially Reconfigurable (SPR), the use of which provides several advantages, such as flexibility in implementation and cost reduction. It has been noted a considerable increase in the use of FPGAs for implementing ANNs. Given the above, it is proposed to implement an array of reconfigurable neurons for topologies Description of artificial neural network multilayer perceptrons (MLPs) in FPGA, in order to encourage feedback and reuse of neural processors (perceptrons) used in the same area of the circuit. It is further proposed, a communication network capable of performing the reuse of artificial neurons. The architecture of the proposed system will configure various topologies MLPs networks through partial reconfiguration of the FPGA. To allow this flexibility RNAs settings, a set of digital components (datapath), and a controller were developed to execute instructions that define each topology for MLP neural network.
Resumo:
CRUZ, Ângela M. P.; Lycurgo, Tassos. Da atividade dialógica: aspectos lógicos. Revista Vivência, Natal, v. 26, p. 51-58, 2004.
Resumo:
The objective of reservoir engineering is to manage fields of oil production in order to maximize the production of hydrocarbons according to economic and physical restrictions. The deciding of a production strategy is a complex activity involving several variables in the process. Thus, a smart system, which assists in the optimization of the options for developing of the field, is very useful in day-to-day of reservoir engineers. This paper proposes the development of an intelligent system to aid decision making, regarding the optimization of strategies of production in oil fields. The intelligence of this system will be implemented through the use of the technique of reinforcement learning, which is presented as a powerful tool in problems of multi-stage decision. The proposed system will allow the specialist to obtain, in time, a great alternative (or near-optimal) for the development of an oil field known