Lógica BDI fuzzy

Intendding to understand how the human mind operates, some philosophers and psycologists began to study about rationality. Theories were built from those studies and nowadays that interest have been extended to many other areas such as computing engineering and computing science, but with a minimal distinction at its goal: to understand the mind operational proccess and apply it on agents modelling to become possible the implementation (of softwares or hardwares) with the agent-oriented paradigm where agents are able to deliberate their own plans of actions. In computing science, the sub-area of multiagents systems has progressed using several works concerning artificial intelligence, computational logic, distributed systems, games theory and even philosophy and psycology. This present work hopes to show how it can be get a logical formalisation extention of a rational agents architecture model called BDI (based in a philosophic Bratman s Theory) in which agents are capable to deliberate actions from its beliefs, desires and intentions. The formalisation of this model is called BDI logic and it is a modal logic (in general it is a branching time logic) with three access relations: B, D and I. And here, it will show two possible extentions that tranform BDI logic in a modal-fuzzy logic where the formulae and the access relations can be evaluated by values from the interval [0,1]

Uma Análise de métodos de distriubuição de atributos em comitês de classificadores

The objective of the researches in artificial intelligence is to qualify the computer to execute functions that are performed by humans using knowledge and reasoning. This work was developed in the area of machine learning, that it s the study branch of artificial intelligence, being related to the project and development of algorithms and techniques capable to allow the computational learning. The objective of this work is analyzing a feature selection method for ensemble systems. The proposed method is inserted into the filter approach of feature selection method, it s using the variance and Spearman correlation to rank the feature and using the reward and punishment strategies to measure the feature importance for the identification of the classes. For each ensemble, several different configuration were used, which varied from hybrid (homogeneous) to non-hybrid (heterogeneous) structures of ensemble. They were submitted to five combining methods (voting, sum, sum weight, multiLayer Perceptron and naïve Bayes) which were applied in six distinct database (real and artificial). The classifiers applied during the experiments were k- nearest neighbor, multiLayer Perceptron, naïve Bayes and decision tree. Finally, the performance of ensemble was analyzed comparatively, using none feature selection method, using a filter approach (original) feature selection method and the proposed method. To do this comparison, a statistical test was applied, which demonstrate that there was a significant improvement in the precision of the ensembles

Avaliação de arquitetura de agentes emocionais : uma abordagem baseada em métrica de qualidade e na influência das emoções sobre usuários

There is a need for multi-agent system designers in determining the quality of systems in the earliest phases of the development process. The architectures of the agents are also part of the design of these systems, and therefore also need to have their quality evaluated. Motivated by the important role that emotions play in our daily lives, embodied agents researchers have aimed to create agents capable of producing affective and natural interaction with users that produces a beneficial or desirable result. For this, several studies proposing architectures of agents with emotions arose without the accompaniment of appropriate methods for the assessment of these architectures. The objective of this study is to propose a methodology for evaluating architectures emotional agents, which evaluates the quality attributes of the design of architectures, in addition to evaluation of human-computer interaction, the effects on the subjective experience of users of applications that implement it. The methodology is based on a model of well-defined metrics. In assessing the quality of architectural design, the attributes assessed are: extensibility, modularity and complexity. In assessing the effects on users' subjective experience, which involves the implementation of the architecture in an application and we suggest to be the domain of computer games, the metrics are: enjoyment, felt support, warm, caring, trust, cooperation, intelligence, interestingness, naturalness of emotional reactions, believabiliy, reducing of frustration and likeability, and the average time and average attempts. We experimented with this approach and evaluate five architectures emotional agents: BDIE, DETT, Camurra-Coglio, EBDI, Emotional-BDI. Two of the architectures, BDIE and EBDI, were implemented in a version of the game Minesweeper and evaluated for human-computer interaction. In the results, DETT stood out with the best architectural design. Users who have played the version of the game with emotional agents performed better than those who played without agents. In assessing the subjective experience of users, the differences between the architectures were insignificant

Arquitetura hardware/software de um núcleo NCAP segundo o padrão IEEE 1451.1: uma prova de conceito

Os sensores inteligentes são dispositivos que se diferenciam dos sensores comuns por apresentar capacidade de processamento sobre os dados monitorados. Eles tipicamente são compostos por uma fonte de alimentação, transdutores (sensores e atuadores), memória, processador e transceptor. De acordo com o padrão IEEE 1451 um sensor inteligente pode ser dividido em módulos TIM e NCAP que devem se comunicar através de uma interface padronizada chamada TII. O módulo NCAP é a parte do sensor inteligente que comporta o processador. Portanto, ele é o responsável por atribuir a característica de inteligência ao sensor. Existem várias abordagens que podem ser utilizadas para o desenvolvimento desse módulo, dentre elas se destacam aquelas que utilizam microcontroladores de baixo custo e/ou FPGA. Este trabalho aborda o desenvolvimento de uma arquitetura hardware/software para um módulo NCAP segundo o padrão IEEE 1451.1. A infra-estrutura de hardware é composta por um driver de interface RS-232, uma memória RAM de 512kB, uma interface TII, o processador embarcado NIOS II e um simulador do módulo TIM. Para integração dos componentes de hardware é utilizada ferramenta de integração automática SOPC Builder. A infra-estrutura de software é composta pelo padrão IEEE 1451.1 e pela aplicação especí ca do NCAP que simula o monitoramento de pressão e temperatura em poços de petróleo com o objetivo de detectar vazamento. O módulo proposto é embarcado em uma FPGA e para a sua prototipação é usada a placa DE2 da Altera que contém a FPGA Cyclone II EP2C35F672C6. O processador embarcado NIOS II é utilizado para dar suporte à infra-estrutura de software do NCAP que é desenvolvido na linguagem C e se baseia no padrão IEEE 1451.1. A descrição do comportamento da infra-estrutura de hardware é feita utilizando a linguagem VHDL

Implementação de uma arquitetura fuzzy neural em hardware com treinamento online

Computational Intelligence Methods have been expanding to industrial applications motivated by their ability to solve problems in engineering. Therefore, the embedded systems follow the same idea of using computational intelligence tools embedded on machines. There are several works in the area of embedded systems and intelligent systems. However, there are a few papers that have joined both areas. The aim of this study was to implement an adaptive fuzzy neural hardware with online training embedded on Field Programmable Gate Array – FPGA. The system adaptation can occur during the execution of a given application, aiming online performance improvement. The proposed system architecture is modular, allowing different configurations of fuzzy neural network topologies with online training. The proposed system was applied to: mathematical function interpolation, pattern classification and selfcompensation of industrial sensors. The proposed system achieves satisfactory performance in both tasks. The experiments results shows the advantages and disadvantages of online training in hardware when performed in parallel and sequentially ways. The sequentially training method provides economy in FPGA area, however, increases the complexity of architecture actions. The parallel training method achieves high performance and reduced processing time, the pipeline technique is used to increase the proposed architecture performance. The study development was based on available tools for FPGA circuits.

Uma linguagem de descrição arquitetural baseada em uma arquitetura de referência para sistemas ubíquos

A computação ubíqua é um paradigma no qual dispositivos com capacidade de processamento e comunicação são embutidos nos elementos comuns de nossas vidas (casas, carros, máquinas fotográficas, telefones, escolas, museus, etc), provendo serviços com um alto grau de mobilidade e transparência. O desenvolvimento de sistemas ubíquos é uma tarefa complexa, uma vez que envolve várias áreas da computação, como Engenharia de Software, Inteligência Artificial e Sistemas Distribuídos. Essa tarefa torna-se ainda mais complexa pela ausência de uma arquitetura de referência para guiar o desenvolvimento de tais sistemas. Arquiteturas de referência têm sido usadas para fornecer uma base comum e dar diretrizes para a construção de arquiteturas de softwares para diferentes classes de sistemas. Por outro lado, as linguagens de descrição arquitetural (ADLs) fornecem uma sintaxe para representação estrutural dos elementos arquiteturais, suas restrições e interações, permitindo-se expressar modelo arquitetural de sistemas. Atualmente não há, na literatura, ADLs baseadas em arquiteturas de referência para o domínio de computação ubíqua. De forma a permitir a modelagem arquitetural de aplicações ubíquas, esse trabalho tem como objetivo principal especificar UbiACME, uma linguagem de descrição arquitetural para aplicações ubíquas, bem como disponibilizar a ferramenta UbiACME Studio, que permitirá arquitetos de software realizar modelagens usando UbiACME. Para esse fim, inicialmente realizamos uma revisão sistemática, de forma a investigar na literatura relacionada com sistemas ubíquos, os elementos comuns a esses sistemas que devem ser considerados no projeto de UbiACME. Além disso, com base na revisão sistemática, definimos uma arquitetura de referência para sistemas ubíquos, RA-Ubi, que é a base para a definição dos elementos necessários para a modelagem arquitetural e, portanto, fornece subsídios para a definição dos elementos de UbiACME. Por fim, de forma a validar a linguagem e a ferramenta, apresentamos um experimento controlado onde arquitetos modelam uma aplicação ubíqua usando UbiACME Studio e comparam com a modelagem da mesma aplicação em SySML.

Utilizando comitês de classificadores para predição de rendimento escolar

Educational Data Mining is an application domain in artificial intelligence area that has been extensively explored nowadays. Technological advances and in particular, the increasing use of virtual learning environments have allowed the generation of considerable amounts of data to be investigated. Among the activities to be treated in this context exists the prediction of school performance of the students, which can be accomplished through the use of machine learning techniques. Such techniques may be used for student’s classification in predefined labels. One of the strategies to apply these techniques consists in their combination to design multi-classifier systems, which efficiency can be proven by results achieved in other studies conducted in several areas, such as medicine, commerce and biometrics. The data used in the experiments were obtained from the interactions between students in one of the most used virtual learning environments called Moodle. In this context, this paper presents the results of several experiments that include the use of specific multi-classifier systems systems, called ensembles, aiming to reach better results in school performance prediction that is, searching for highest accuracy percentage in the student’s classification. Therefore, this paper presents a significant exploration of educational data and it shows analyzes of relevant results about these experiments.

O aprimoramento cognitivo como bem primário em Rawls

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.

O aprimoramento cognitivo como bem primário em Rawls

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.

A relação entre memória de trabalho e competência leitora em crianças em risco de transtorno de aprendizagem do Projeto Acerta: um estudo exploratório

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.

A relação entre memória de trabalho e competência leitora em crianças em risco de transtorno de aprendizagem do Projeto Acerta: um estudo exploratório

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.

A vigilância na internet: a circulação midiática brasileira do vazamento de dados da NSA por Edward Snowden

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.

A vigilância na internet: a circulação midiática brasileira do vazamento de dados da NSA por Edward Snowden

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.

Implementação de uma matriz de neurônios dinamicamente reconfigurável para descrição de topologias de redes neurais artificiais multilayer perceptrons

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.

Implementação de uma matriz de neurônios dinamicamente reconfigurável para descrição de topologias de redes neurais artificiais multilayer perceptrons

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.