Agentes Inteligentes com Foco de Atenção Afetivo em Simulações Baseadas em Agentes

Simulations based on cognitively rich agents can become a very intensive computing task, especially when the simulated environment represents a complex system. This situation becomes worse when time constraints are present. This kind of simulations would benefit from a mechanism that improves the way agents perceive and react to changes in these types of environments. In other worlds, an approach to improve the efficiency (performance and accuracy) in the decision process of autonomous agents in a simulation would be useful. In complex environments, and full of variables, it is possible that not every information available to the agent is necessary for its decision-making process, depending indeed, on the task being performed. Then, the agent would need to filter the coming perceptions in the same as we do with our attentions focus. By using a focus of attention, only the information that really matters to the agent running context are perceived (cognitively processed), which can improve the decision making process. The architecture proposed herein presents a structure for cognitive agents divided into two parts: 1) the main part contains the reasoning / planning process, knowledge and affective state of the agent, and 2) a set of behaviors that are triggered by planning in order to achieve the agent s goals. Each of these behaviors has a runtime dynamically adjustable focus of attention, adjusted according to the variation of the agent s affective state. The focus of each behavior is divided into a qualitative focus, which is responsible for the quality of the perceived data, and a quantitative focus, which is responsible for the quantity of the perceived data. Thus, the behavior will be able to filter the information sent by the agent sensors, and build a list of perceived elements containing only the information necessary to the agent, according to the context of the behavior that is currently running. Based on the human attention focus, the agent is also dotted of a affective state. The agent s affective state is based on theories of human emotion, mood and personality. This model serves as a basis for the mechanism of continuous adjustment of the agent s attention focus, both the qualitative and the quantative focus. With this mechanism, the agent can adjust its focus of attention during the execution of the behavior, in order to become more efficient in the face of environmental changes. The proposed architecture can be used in a very flexibly way. The focus of attention can work in a fixed way (neither the qualitative focus nor the quantitaive focus one changes), as well as using different combinations for the qualitative and quantitative foci variation. The architecture was built on a platform for BDI agents, but its design allows it to be used in any other type of agents, since the implementation is made only in the perception level layer of the agent. In order to evaluate the contribution proposed in this work, an extensive series of experiments were conducted on an agent-based simulation over a fire-growing scenario. In the simulations, the agents using the architecture proposed in this work are compared with similar agents (with the same reasoning model), but able to process all the information sent by the environment. Intuitively, it is expected that the omniscient agent would be more efficient, since they can handle all the possible option before taking a decision. However, the experiments showed that attention-focus based agents can be as efficient as the omniscient ones, with the advantage of being able to solve the same problems in a significantly reduced time. Thus, the experiments indicate the efficiency of the proposed architecture

Aplicação de ontologias para métodos de negociação de um sistema multiagente para o reconhecimento de padrões

The use of intelligent agents in multi-classifier systems appeared in order to making the centralized decision process of a multi-classifier system into a distributed, flexible and incremental one. Based on this, the NeurAge (Neural Agents) system (Abreu et al 2004) was proposed. This system has a superior performance to some combination-centered methods (Abreu, Canuto, and Santana 2005). The negotiation is important to the multiagent system performance, but most of negotiations are defined informaly. A way to formalize the negotiation process is using an ontology. In the context of classification tasks, the ontology provides an approach to formalize the concepts and rules that manage the relations between these concepts. This work aims at using ontologies to make a formal description of the negotiation methods of a multi-agent system for classification tasks, more specifically the NeurAge system. Through ontologies, we intend to make the NeurAge system more formal and open, allowing that new agents can be part of such system during the negotiation. In this sense, the NeurAge System will be studied on the basis of its functioning and reaching, mainly, the negotiation methods used by the same ones. After that, some negotiation ontologies found in literature will be studied, and then those that were chosen for this work will be adapted to the negotiation methods used in the NeurAge.

Uma arquitetura baseada em agentes para configuração dinâmica de aplicações inteligentes em ambiente foundation fieldbus

The industrial automation is directly linked to the development of information tecnology. Better hardware solutions, as well as improvements in software development methodologies make possible the rapid growth of the productive process control. In this thesis, we propose an architecture that will allow the joining of two technologies in hardware (industrial network) and software field (multiagent systems). The objective of this proposal is to join those technologies in a multiagent architecture to allow control strategies implementations in to field devices. With this, we intend develop an agents architecture to detect and solve problems which may occur in the industrial network environment. Our work ally machine learning with industrial context, become proposed multiagent architecture adaptable to unfamiliar or unexpected production environment. We used neural networks and presented an allocation strategies of these networks in industrial network field devices. With this we intend to improve decision support at plant level and allow operations human intervention independent

O algodão sem veneno do assentamento queimadas, na Paraíba: agentes sociais, alinhamento em rede, produção e comercialização

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Polissacarídeos sulfatados da Alga Marrom Dictyopteris justii como agentes antioxidantes e inibidores da formação de cristais de oxalato de cálcio

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Estudo e implementação de algoritmos inteligentes para detecção e classificação de falhas na medição de gás natural

This master dissertation presents the study and implementation of inteligent algorithms to monitor the measurement of sensors involved in natural gas custody transfer processes. To create these algoritmhs Artificial Neural Networks are investigated because they have some particular properties, such as: learning, adaptation, prediction. A neural predictor is developed to reproduce the sensor output dynamic behavior, in such a way that its output is compared to the real sensor output. A recurrent neural network is used for this purpose, because of its ability to deal with dynamic information. The real sensor output and the estimated predictor output work as the basis for the creation of possible sensor fault detection and diagnosis strategies. Two competitive neural network architectures are investigated and their capabilities are used to classify different kinds of faults. The prediction algorithm and the fault detection classification strategies, as well as the obtained results, are presented

Efeitos biológicos in vitro de agentes físicos utilizados em fisioterapia

The uses of radiobiocomplexes labeled with technetium-99m contributed to health science advances. Stannous chloride (SnCl2) has been used as a reducing agent for the labeling process. Cytotoxic and genotoxic effect of the SnCl2 have been described in several studies and with this experimental models alterations in molecular and cellular level can be evaluated. In the last years the physicals therapists acquired new devices which emits electromagnetic radiation such us Extremely Low Frequency Pulsated Electromagnetic Fields (E.L.F. P.E.M.F.), radiofrequency, Intense Pulsed Light (I.P.L.) and others which emits sonic waves such us Biorresonance. Scientific evidence of the effects and dosage is important to protect public health and to reach exposition levels that result in significant biological effects. The aim of this project is to verify the effects of these physical agents in plasmid DNA and E. coli AB1157 cultures in presence or absence of SnCl2 and the effects in blood constituents labeled with technetium-99m. Wistar rats blood was exposed to the cited sources and the labelling of blood constituents with 99mTc was carried through. Cultures of E. coli AB1157 and plasmidial samples DNA had been also exposed the physical agents. The results suggest that these agents are capable of altering neither the survival of E. coli cells or plasmid DNA electrophoresis mobility. The multidiscipline character was clearly in this study due the interaction between Nuclear Medicine department of the UERJ and the Laboratory of Physical Agents of the Maimonides University in Argentina until the union between the teacher (biomedical and physiotherapist) and student (physiotherapist), besides collaborators of the area of Physics and Biology, promoting new ideas and perspectives and also adding the knowledge of different areas and origins

Análise da presença de agentes mutagênicos nas águas do Rio Pitimbú/RN

The Pitimbu River is located at the oriental portion of the State of Rio Grande do Norte, including three importants cities named Macaíba, Parnamirim e Natal. Although its high importance as a water source, which supplys great part of the South Zone of the Natal city, this river receives a large quantity of domestic and industrial waste water without treatment. The Pitimbu River headhas its river-head located in the city of Macaiba, goes through Parnamirim, then it flowing into at the Jiqui Lake in Natal. The aim of this study was to evaluate, qualitatively and quantitatively, the environmental quality of the Pitimbu River by genotoxicity bio-assays, which are important tools for genetics toxicological evaluation. In this work, five samples sites, distributed along the river, were used to collect water samples. Another point site, located near Jiqui lake, was used to collect drinkable water, which was treated by CAERN, the water treatment entreprise of Rio Grande do Norte. The following assays where used to evaluate the quality of these samples: Allium cepa assay; Comet assay; Micronuclei (MN) assay; and Ames test. For the Allium cepa assay, sixteen specimes where used for each water sample from the sample sites. In this assay both microscopic, like cytogenetic damage, and macroscopic aspects, as morphological variation were evaluated. Red blood cells from periferical blood of the Crenicichla menezesi native specie were used not only for the MN assay, but also for the Comet assay. These fishes were collected at different points on the Pitimbu River and the negative control was developed using fishes of the same species that were bring to the laboratory and maintained for 100 days in the optimal experimental conditions. For the Ames test, TA100, YG1042, TA98 and YG1041 strains were used in the directed method without metabolic activation. The results found by the Allium cepa assay showed that two water sample sites induced increase of mitotic index (IM). Additionally, compared to the control, all the water samples increased the chromossomal aberrations frequency and/or micronucleus. Among the sample sites, two also showed an abnormal growth rate in its root and two samples induced morphological alteration. With the MN test in red blood cells, a high frequence of MN was observed in tree sample. By comparing all the results obtained on the water sample points and with the negative control, a significant variation on the MN frequency was observed. Positive results were also observed for the same sample to water test by the Comet assay. These results allow concluding that the proposed specie Crenicichla menezesi has a good profile as a bio-indicator for the evaluation of environmental water quality and the MN and comet test can be usuful for in situ evaluation. By the Ames test, it was possible to detect the mutagenic activity on the waters from the Pitimbu River in different levels of mutagenicity. This result suggests that this river has several substances that induced changes directly to the DNA. The mechanisms involved to this phenomenon could be by both processes, by changing of the reading frame and by nucleotide substitution. These data set indicate the presence of mutagenic agents, which can represent in risk to biot and human beens

O concreto e o simbólico no cotidiano da educação em saúde: práticas, representações e processo identitário dos agentes comunitários de saúde de João Pessoa PB

The present study is about an etnographic research based on the Theory of Social Representation and its complementary approach, the Theory of Central Core based on the bourdiesianos concepts of field and habitus , concerning that these concepts, articulated to the constructed social representation, may contribute to the study of social identities. Its aim is to acknowledge which identity references community health agents (CHA), agents from Community Health Agent Program (CHAP) and Family Health Program (FHP) from João Pessoa PB and which social representation is constructed by them towards health education. The study had the participation of 119 CHAs, from which 90,3 % were female and 9,7% were male. Since the identity is also built by the representation of others towards the group, 63 professionals of the FHP group (16 nurses, 16 nursing assistents, 12 doctors, 9 dentists, 6 dentistry office assistents, 4 coordinators, 1 psicologist and 1 receptionist) and 1 nurse from CHAP took part of the study, oficial documents from the Health Ministry were analyzed, verbal information from its representatives were also taken into consideration, as well as reports from the many benefitiaries of the CHA, CHAP and FHP. For data collecting, we used the combination of (a) Direct Observation and Participant Observation of the functioning micro-areas of the CHA at the Family Health Units, and the Union of the Agents; (b) Free-Association of words and expressions to stimulate the CHA , Health Education and Health ; (c) Questionnaire; (d) Interviews. The interviews were submitted to a thematic analysis of its topic. The free-association was analyzed taking in consideration the vèrgesiana proposal (a combination of the frequency and average order of evocation) which treatment enabled the identification of the central and peripheral systems of social representation towards health education and the community health agent. A test of central refutation, associated to the analysis of the indicated evocations as the most important, provided empirical evidence of social representation towards health education as orientation , prevention and hygiene , as well as the identity of CHA as supervisor , friend , help , important , and the link between the community and the Family Health Staff. Other professionals from CHAP, FHP and the Health Ministry share all of these representational contents, especially the concepts of friend and link , also shared by the community. A habitus towards the community health agents was identified, as a representation based on trust and friendship, which gives the professional a great importance towards the daily inconsistencies faced by the community

Campo educacional e representação social da formação docente :o olhar dos agentes

Teaching formation has been the target of many changes, having been forged according to numerous formats and models through different times and spaces, composing thus, different codes and curricular proposals for different levels of qualification. We've tried in this work to pinpoint the main discussions which take place in the area of the teaching formation, based in the views of modern writers. We ve also tried, through the Social Representations Theory, to reveal and learn how the agents directly involved in this process realize and react, that is, the teachers who cope with the beginning stages of the Fundamental Teaching in the public school system in Natal/RN, taking into account that, in many cases, such formation demands the rethinking of the very formation policies. We've also adopted the concepts of field and educational field introduced by the praxiology of Pierre Bourdieu. It s been considered a fundamental theoretical reference which enables the understanding of social phenomena, both in macro and micro viewpoints. Thus, we do not neglect the whole, and particularly, the nuances of each context or specific situation. In the methodological track we ve used for data gathering the Free Word Association Test, and the Semi-Structured Interview, and also secondary sources for the characterization of the research spectre. Data treatment and analysis were performed with the help of the following software: SPSS Statistical Package for Social Sciences and EVOC; and the method of Content Category Analysis. The combination of the concepts and techniques mentioned above was necessary to cope with the qualitative and quantitative aspects, in our attempt to offer a wider range of contributions and outcome validations, which have shown, among other less explicit elements, the existence of a social representation of the teaching formation such as: knowledge theoretical and practical; a necessity imposed by the symbolical conflicts of the social field; capacitation and compromisse. We acknowledge the relevance of the thoughts discussed here, though aware that this is just one of the possible approaches to the theme

Ações dos agentes comunitários de saúde diante do usuário da estratégia saúde da família com estados depressivos no Município de Abaiara-CE-BR

Brazilian health public assistance is going through two Reforms, Sanitary and Psychiatric, and through these the assistance is guaranteed in the three levels: primary, secondary and tertiary. Thus, mental health assistance should be offered since preventive cares until the ones that demand larger technological apparatus. Programs like Health Community Agent's Program (HCAP) and Family Health Strategy (FHS), besides increasing the services coverage, have been making possible the system reorientation in the meaning of integrality, universalization and equity. Thus, united intervention of mental health team and FHS can offer several benefits to the population, providing assistance and follow-up to patients with mental disorder. It was aimed to assess health community agents facing the user of Family Health Strategy in depressive state. This quanti-qualitative study took place in the municipal district of Abaiara-CE. Semi-structured interview was applied with health community agents and Beck Depression Inventory with the users registered in Family Health Strategy. It was verified that among the 64 users interviewed, 12.5% didn't present symptoms of depression, 10.9% presented symptoms of light depression, 14.1% symptoms of moderate depression and 62.5% symptoms of serious depression. For the 22 health community agents interviewed, they all reported the existence of people with symptoms of depression in their personal micro-areas, being difficult to work with them, once the FHS team is not qualified to work with mental health problems. It was verified that the Municipal district doesn't have specialized professionals, making difficult the routing and treatment. Based on these results, it was concluded that in spite of the articulation of mental health with FHS is necessary and benefactor to the population, it still doesn't exist, worsening the situation, mainly in small Municipal districts, once they don't have mental health services. Thus, the population is exposed and without follow-up, which allows the identification of installed diseases and with gravity, like depression, because there are no prevention and control activities. It is recommended, due the extreme need, the elaboration and implantation of a mental health program in these municipal districts, articulated with FHS

Algoritmos inteligentes para auto-correção, auto-verificação e auto-validação de medidas em sensores

This work presents a set of intelligent algorithms with the purpose of correcting calibration errors in sensors and reducting the periodicity of their calibrations. Such algorithms were designed using Artificial Neural Networks due to its great capacity of learning, adaptation and function approximation. Two approaches willbe shown, the firstone uses Multilayer Perceptron Networks to approximate the many shapes of the calibration curve of a sensor which discalibrates in different time points. This approach requires the knowledge of the sensor s functioning time, but this information is not always available. To overcome this need, another approach using Recurrent Neural Networks was proposed. The Recurrent Neural Networks have a great capacity of learning the dynamics of a system to which it was trained, so they can learn the dynamics of a sensor s discalibration. Knowingthe sensor s functioning time or its discalibration dynamics, it is possible to determine how much a sensor is discalibrated and correct its measured value, providing then, a more exact measurement. The algorithms proposed in this work can be implemented in a Foundation Fieldbus industrial network environment, which has a good capacity of device programming through its function blocks, making it possible to have them applied to the measurement process

Análise comparativa do desempenho de um Controlador Fuzzy acoplado a um PID Neural sintonizado por um Algoritmo Genético com Controladores Inteligentes Convencionais

On this paper, it is made a comparative analysis among a controller fuzzy coupled to a PID neural adjusted by an AGwith several traditional control techniques, all of them applied in a system of tanks (I model of 2nd order non lineal). With the objective of making possible the techniques involved in the comparative analysis and to validate the control to be compared, simulations were accomplished of some control techniques (conventional PID adjusted by GA, Neural PID (PIDN) adjusted by GA, Fuzzy PI, two Fuzzy attached to a PID Neural adjusted by GA and Fuzzy MISO (3 inputs) attached to a PIDN adjusted by GA) to have some comparative effects with the considered controller. After doing, all the tests, some control structures were elected from all the tested techniques on the simulating stage (conventional PID adjusted by GA, Fuzzy PI, two Fuzzy attached to a PIDN adjusted by GA and Fuzzy MISO (3 inputs) attached to a PIDN adjusted by GA), to be implemented at the real system of tanks. These two kinds of operation, both the simulated and the real, were very important to achieve a solid basement in order to establish the comparisons and the possible validations show by the results

Identificação de nematóides através de técnicas de processamento inteligentes de imagens

abstract

Técnicas inteligentes hídridas para o controle de sistemas não lineares

A neuro-fuzzy system consists of two or more control techniques in only one structure. The main characteristic of this structure is joining one or more good aspects from each technique to make a hybrid controller. This controller can be based in Fuzzy systems, artificial Neural Networks, Genetics Algorithms or rein forced learning techniques. Neuro-fuzzy systems have been shown as a promising technique in industrial applications. Two models of neuro-fuzzy systems were developed, an ANFIS model and a NEFCON model. Both models were applied to control a ball and beam system and they had their results and needed changes commented. Choose of inputs to controllers and the algorithms used to learning, among other information about the hybrid systems, were commented. The results show the changes in structure after learning and the conditions to use each one controller based on theirs characteristics