Made available in DSpace on 2016-08-17T14:52:51Z (GMT). No. of bitstreams: 1 Steferson Lima Costa Ferreira.pdf: 2457917 bytes, checksum: fea42c69b2215b62be39d9e6847b90be (MD5) Previous issue date: 2004-03-15 / This work proposes DDEMAS, a technique for the construction of multi-agent frameworks based on patterns and ontologies. DDEMAS is a new approach for Domain Design in Multi-agent Domain Engineering. The technique consists of three phases, through which the architectural and detailed design of a family of multi-agent applications is specified in a growing order of detail: modelling of agents and interactions, global design and detailed design. The first phase looks for the definition of agents and interactions. On the second one, it is made the global design of the family of systems, with the agents organized according to coordination and cooperation mechanisms. In the last phase, each agent is analyzed individually in terms of behavior and knowledge. The work also proposes ONTODD, an ontology-based tool which encodes the knowledge of DDEMAS, thus allowing the application of the technique for the creation of multi-agent frameworks. The frameworks construction is made through the instanciation of the metaclasses corresponding to the concepts of modelling and products of modelling of ONTODD. DDEMAS and ONTODD have been evaluetad through the development of a case study where an ontology-based framework for building information access applications has been constructed. / Este trabalho propõe a DDEMAS, uma técnica para a construção de frameworks multiagente baseados em padrões e ontologias. A técnica é uma nova abordagem para o Projeto de Domínio na Engenharia de Domínio Multiagente. A técnica consiste de três fases, através das quais é especificado o projeto de uma família de aplicações multiagente em ordem crescente de detalhamento: modelagem de agentes e interações, projeto global e projeto detalhado. A primeira fase visa a definição dos componentes agentes e suas interações. Na segunda, é feito o projeto global da família de sistemas, com os agentes organizados segundo mecanismos de coordenação e cooperação apropriados. Na ultima fase, cada agente é analisado individualmente em termos comportamentais e de conhecimento. É também proposta a ONTODD, uma ferramenta que modela o conhecimento da técnica DDEMAS, permitindo a aplicação da técnica e guiando o processo de criação de frameworks multiagente. A construção de frameworks é feita através da instanciação das meta-classes relativas aos conceitos da modelagem e produtos da modelagem da ONTODD. A DDEMAS e a ONTODD foram avaliadas através do desenvolvimento de um estudo de caso, onde um framework baseado em ontologias para o acesso a informação foi construído.

Made available in DSpace on 2016-08-17T14:52:52Z (GMT). No. of bitstreams: 1 Ivo Jose da Cunha Serra.pdf: 6848473 bytes, checksum: 2440bf1516e97ef7b712775d5fb7521c (MD5) Previous issue date: 2004-03-15 / To achieve quality and productivity in software development, software reuse is necessary nowadays. One way of doing so is generative reuse, which consists of automatic selecting and grouping software components. Generative software reuse can be done by employing Domain Specific Languages (DSL's). These languages specify a system in a high level of abstraction. This work proposes TOD-LED, a technique based on ontologies for the development of DSL's on Multi-Agent Domain Engineering. This technique guides the specification of DSL's using domain models developed with GRAMO, a technique for Domain Analysis in Multi-Agent Domain Engineering. TOD-LED uses ONTOLED, an ontology that represents the knowledge about the development of DSL's. The specification of a DSL is represented as an instance of ONTOLED. A case study was developed to evaluate TOD-LED. The case study consists of the specification of LESRF, a DSL for the development of systems for dynamic and non structured information access. / Por motivos de qualidade e produtividade, o reuso de software é uma prática necessária no desenvolvimento dos sistemas atuais. Uma das formas do reuso de software é a reutilização gerativa, que consiste em selecionar e agrupar componentes de software de forma automática. A reutilização gerativa pode ser feita com o uso de linguagens específicas de domínio (LED s), que especificam sistemas em alto nível de abstração. Neste trabalho é proposta a TOD-LED, uma técnica baseada em ontologias para o desenvolvimento de LED's na Engenharia de Domínio Multiagente. Esta técnica guia a especificação de LED's a partir de modelos de domínio desenvolvidos com a GRAMO, uma técnica para a análise de domínio na Engenharia de Domínio Multiagente. A TOD-LED utiliza a ONTOLED, uma ontologia que representa o conhecimento acerca do desenvolvimento de LED's. A especificação de uma LED é representada por uma instância da ONTOLED. É também apresentado um estudo de caso para avaliar a técnica proposta. O estudo de caso consiste na especificação da LESRF (Linguagem de Especificação de Sistemas para a Recuperação e Filtragem de informação), uma LED para o desenvolvimento de aplicações para o acesso à informação dinâmica e não estruturada.

Made available in DSpace on 2016-08-17T14:53:03Z (GMT). No. of bitstreams: 1 Claudio Henrique.pdf: 2293947 bytes, checksum: 295cf028346110498a2ca8201da82769 (MD5) Previous issue date: 2007-06-22 / This paper aims at detecting frauds in municipal taxes, using a multi-agent system. To attain such objective, it presents some of the stages of the software development and the implementation of some agents. The paper also proposes the behavior modeling of contributors, obtained from historical data from their actions and from behavior inference functions. That model, after being validated, with the use of data from São Luís County Hall, was transformed in agent. In the stages of analysis and design of the system, the methodologies MAS-Common KADS and the ontology ONTOMADEM (this one based in MADEM Multi-Agent Domain Engineering Methodology), were used. In the stage of development, JADE (Java Agent Development Framework) ambience and the PROTÉGÉ for JADE plug-ins were used, besides JESS, used to implement the ontologies and the rules. / Este trabalho tem por objetivo principal a detecção de fraudes em impostos municipais, utilizando sistema multi-agentes. Para se atingir tal objetivo, apresentam-se algumas das fases de desenvolvimento do software e a implementação de alguns agentes. Propõe-se também a modelagem comportamental de contribuintes obtida a partir de dados históricos de suas ações e de funções de inferência de comportamento. Esse modelo, após validado com a utilização de dados da Prefeitura de São Luís, foi transformado em agente. Nas fases de análise e projeto do sistema, utilizaram-se as metodologias MAS-CommonKADS e a ontologia ONTOMADEM, esta baseada na MADEM (Multi-Agente Domain Engineering Methodology). Na fase de desenvolvimento, foram utilizados o ambiente JADE (Java Agent Development Framework) e os plugins do PROTÉGÉ para JADE, além do JESS, usado para implementar as ontologias e as regras.

Made available in DSpace on 2016-08-17T14:53:06Z (GMT). No. of bitstreams: 1 Luciana Fortes Farias.pdf: 24712291 bytes, checksum: d8760f57e945d0cde298c31a44b38539 (MD5) Previous issue date: 2009-11-04 / This work is discussed the conceptual model of a multi-agent system for environmental monitoring with the use of biomarkers of aquatic organisms present in the port complex of São Luís-Maranhão-Brasil, second most important in the country in cargo handling. Located in the São Marcos Bay, this complex have an estuarine ecosystems which have suffered attacks in the current process of economic development, caused by intense port handling, dumping of ballast water and washing the vessels, overfishing, introduction of exotic species in the middle pollution in urban and industrial effluents, subject to severe environmental impacts that should be monitored. Methodologically, the modeling of the monitoring solution, we used the existing environmental conditions and aquatic life caught in two different sites of the port complex, the first in a potentially contaminated area and the second in a contamination-free (control), proposing the creation of a network of sensors in these locations. Invest conceded data by Carvalho-Neta (2007) whose research includes to catch fish in these perimeters, then submitting them for laboratory analysis to measure the enzyme activity of glutathione S-transferase (GST) and Catalase (CAT), the result was processed and recorded in bio-ontology . The core of the solution of Multi-agent system is based on the results derived from the biochemical analysis of GST, inspiring the modeling software agent that simulates the behavior of this enzyme. The solution also includes an application running on mobile devices that makes the collection of environmental variables in the selected points, validates them and makes the inference of those who could not be collected. Multi-agent System for Environmental Monitoring of the Port Complex of the Island of São Luís-Maranhão- Brasil, therefore, is made up of the bio-ontology, sensor networking, mobile application collection and inference of data from environmental conditions, software agents to simulate biochemical analysis, calculation of GST activity and other staff related to the maintenance and security of the SMA. / Nesta dissertação é discutido o modelo conceitual de um sistema multiagente para monitoramento ambiental com uso de marcadores biológicos de organismos aquáticos presentes no complexo portuário de São Luís-MA, segundo mais importante do país em movimentação de carga. Situado na Baía de São Marcos, esse complexo possui um dos ecossistemas estuarinos que mais têm sofrido agressões no atual processo de desenvolvimento econômico, provocadas pela intensa movimentação portuária, despejo de água de lastro e lavagem dos navios, pesca predatória, introdução de espécies exóticas no meio, poluição por efluentes domésticos e industriais, sujeitando o ambiente a fortes impactos ambientais que devem ser monitorados. Metodologicamente, na modelagem da solução de monitoramento, utilizou-se o registro das condições ambientais e de organismos aquáticos capturados em dois pontos distintos do complexo portuário: o primeiro, em uma área potencialmente contaminada e o segundo em uma livre de contaminação (controle), propondo-se a criação de uma rede de sensores nesses locais. Empregou-se dados cedidos por Carvalho-Neta (2007) cuja pesquisa contou com a captura de peixes nesses perímetros, submetendo-os posteriormente a análise laboratorial para medição da atividade enzimática da Glutationa s- Transferase (GST) e Catalase (CAT), tendo todos os resultados processados e registrados em bio-ontologia. O núcleo da solução do Sistema Multiagente baseia-se nos resultados oriundos da análise bioquímica da GST, inspirando a modelagem de agente de software que simula o comportamento desta enzima. Todos esses dados foram registrados em bio-ontologia. A solução contempla também uma aplicação executada em dispositivos móveis que realiza a coleta das variáveis abióticas nos pontos selecionados, valida-as e realiza a inferência daquelas que não puderam ser coletadas. O Sistema Multiagente para Monitoramento Ambiental do Complexo Portuário da Ilha de São Luís, portanto, é constituído pelo conjunto da bio-ontologia, rede de sensores, aplicação móvel de coleta e inferência de dados das condições do meio ambiente, agentes de software para simulação de análise bioquímica, cálculo da atividade da GST e outros agentes relacionados à manutenção e segurança do SMA.

Made available in DSpace on 2016-08-17T14:53:24Z (GMT). No. of bitstreams: 1 Dissertacao Rafael de Souza.pdf: 5581665 bytes, checksum: 4edbe8b1f2b84008b5129a93038f2fee (MD5) Previous issue date: 2013-03-04 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / In this work, we applied the technology of Multi-Agent Systems (MAS) in the capital market, i.e., the stock market, specifically in Bolsa de Mercadorias e Futuros de São Paulo (BM&FBovespa). The research focused mainly on negotiation protocols and learning of investors agents. Within the Stock Exchange competitive field, the development of an agent that could learn to negotiate, could become differential for investors who wish to increase their profits. The decision-making based on historical data is motivation for further research in the same direction, however, we sought a different approach with regard to the representation of the states of q-learning algorithm. The reinforcement learning, in particular q-learning, has been shown to be effective in environments with various historical data and seeking reward decisions with positive results. That way it is possible to apply in the purchase and sale of shares, an algorithm that rewards the profit and punishes the loss. Moreover, to achieve their goals agents need to negotiate according to specific protocols of stock exchange. Therefore, endeavor was also the specifications of the rules of negotiation between agents that allow the purchase and sale of shares. Through the exchange of messages between agents, it is possible to determine how the trading will occur and facilitate communication between them, because it sets a standard of how it will happen. Therefore, in view of the specification of negotiation protocols based on q-learning, this research has been the modeling of intelligent agents and models of learning and negotiation required for decision making entities involved. / Neste trabalho, aplicou-se a tecnologia de Sistemas MultiAgente (SMA) no mercado de capitais, isto é, na Bolsa de Valores, especificamente na Bolsa de Mercadorias e Futuros de São Paulo (BM&FBovespa). A pesquisa concentrou-se principalmente nos protocolos de negociação envolvidos e na aprendizagem dos agentes investidores. Dentro do cenário competitivo da Bolsa de Valores, o desenvolvimento de um agente que aprendesse a negociar poderia se tornar diferencial para os investidores que desejam obter lucros cada vez maiores. A tomada de decisão baseada em dados históricos é motivação para outras pesquisas no mesmo sentido, no entanto, buscou-se uma abordagem diferenciada no que diz respeito à representação dos estados do algoritmo de aprendizagem-q. A aprendizagem por reforço, em especial a aprendizagem-q, tem demonstrado ser eficiente em ambientes com vários dados históricos e que procuram recompensar decisões com resultados positivos. Dessa forma é possível aplicar na compra e venda de ações, um algoritmo que premia o lucro e pune o prejuízo. Além disso, para conseguir alcançar seus objetivos os agentes precisam negociar de acordo com os protocolos específicos da bolsa de valores. Sendo assim, procurou-se também as especificações das regras de negociação entre os agentes que permitirão a compra e venda de títulos da bolsa. Através da troca de mensagens entre os agentes, é possível determinar como a negociação ocorrerá e facilitará comunicação entre os mesmos, pois fica padronizada a forma como isso acontecerá. Logo, tendo em vista as especificações dos protocolos de negociação baseados em aprendizagem-q, tem-se nesta pesquisa a modelagem dos agentes inteligentes e os modelos de aprendizagem e negociação necessários para a tomada de decisão das entidades envolvidas.

Distributed Mobile Robotics (DMR) is a multidisciplinary research area with many open research questions. This is a survey of the state of the art in Distributed Mobile Robotics research. DMR is sometimes referred to as cooperative robotics or multi-robotic systems. DMR is about how multiple robots can cooperate to achieve goals and complete tasks better than single robot systems. It covers architectures, communication, learning, exploration and many other areas presented in this master thesis. / Uppsatsen är en brett spektrum på vilken forskning som pågår rörande distribuerad mobil robotik, dvs hur många robotar kan samverka för att lösa uppgifter. / Adress: Victor Adolfsson Folkparksvägen 12:24 372 38 Ronneby Telefon: 0457-171 42 Mobil: 0709-441389

Patient’s mobility throughout his lifetime leaves a trial of information scattered in laboratories, clinical institutes, primary care units, and other hospitals. Hence, the medical history of a patient is valuable when subjected to special healthcare units or undergoes home-care/personal-care in elderly stage cases. Despite the rhetoric about patient-centred care, few attempts were made to measure and improve in this arena. In this thesis, we will describe and implement a high-level view of a Patient Centric information management, deploying at a preliminary stage, the use of Agent Technologies and Grid Computing. Thus, developing and proposing an infrastructure that allows us to monitor and survey the patient, from the doctor’s point of view, and investigate a Persona, from the patients’ side, that functions and collaborates among different medical information structures. The Persona will attempt to interconnect all the major agents (human and software), and realize a distributed grid info-structure that directly affect the patient, therefore, revealing an adequate and cost-effective solution for most critical information needs. The results comprehended in the literature survey, consolidating Healthcare Information Management with emerged intelligent Multi-Agent System Technologies (MAS) and Grid Computing; intends to provide a solid basis for further advancements and assessments in this field, by bridging and proposing a framework between the home-care sector and the flexible agent architecture throughout the healthcare domain.

Le changement de croyances vise à trouver des moyens adéquats pour faire évoluer les croyances d'un agent lorsqu'il est confronté à de nouvelles informations. Dans la plupart des travaux sur la révision de croyances, l'ensemble de croyances d'un agent est composé de croyances au sujet de l'environnement (le monde) et est représenté par un ensemble de formules de la logique classique. Dans de nombreuses applications, un agent n'est pas seul dans l'environnement, mais le partage avec d'autres agents, qui ont aussi des croyances. Ainsi les croyances sur les croyances des autres agents constituent un élément d'information important pour l'agent, afin d'être en mesure de prendre les meilleures décisions et d'effectuer les meilleures actions. L'utilisation de croyances sur les croyances des autres agents est par exemple cruciale dans la théorie des jeux. Dans cette thèse, nous étudions dans un premier temps les opérateurs de contraction propositionnelle correspondant aux opérateurs de révision de Katsuno et Mendelzon. Nous étudions ensuite une connexion entre les logiques épistémiques et la théorie du changement de croyances, proche de l'approche AGM. Nous nous sommes intéressés à l'utilisation des opérateurs qui modifient les croyances des agents dans les modèles KD45n standard. Cette tâche est plus compliquée que dans le cadre AGM standard, car, dans un contexte multi-agents, les nouvelles informations peuvent prendre différentes formes. Par exemple, chaque nouvelle information peut être observée/transmise/disponible à tous les agents ou seulement à certains d’entre eux. / Belief change is about finding appropriate ways to evolve an agent's beliefs when confronted with new pieces of information. In most works on belief revision, the set of beliefs of an agent is composed of beliefs about the environment (the world) and is represented by a set of formulas of classical logic. In many applications, an agent is not alone in the environment, but sharing with other agents, which also have beliefs. Thus beliefs about the beliefs of other agents are an important piece of information for the agent in order to be able to make the best decisions and perform the best actions. The use of beliefs about the beliefs of other agents is, for exampel, crucial in game theory. In this thesis, we first study the operators of propositional contraction corresponding to the revision operators proposed by Katsuno and Mendelzon. Then, we study a connection between epistemic logics and belief change theory, close to the AGM approach. We are interested in the use of operators that modify agent beliefs in standard KD45n models. This task is more complicated than in the standard AGM framework because, in a multi-agent context, new information can take different forms. For example, each new information can be observed/transmitted/available to all agents or only some of them.

In car racing simulation games, finishing first is the main goal. To reach that goal, it is required to go around a racing track, competing against other cars aiming for the same goal. Implementing a bot for doing so may have its difficulties, although using a technique called multi-agent systems combined with artificial potential field, let- ting the agents take care of subtasks like keeping the car on the track, minimize how much the car turns in a curvature and basics in navigation around the track, has showed that artificial potential fields very well fit the problem of driving a car in simulated car racing in a competitive way. / Mobiltelefon: 0707422666

This thesis discusses how Multi-agent Systems (MAS) should be designed in the context of diabetic health care. Three fields are touched: computer science, socio-psychology and systems science. Agent Technology is the core technology in the research. Theories from socio-psychology and systems science are applied to facilitate the discussion about computer agents. As the integration of socio-psychology and systems science, Activity Systems Theory is introduced to give a synthesized description of MAS. Laws and models are introduced with benefits on both individual agent and agent communities. Cybernetics from systems science and knowledge engineering from computer science are introduced to approach the design and implementation of the individual agent architecture. A computer agent is considered intelligent if it is capable of reactivity, proactivity and social activity. Reactivity and proactivity can be realized through a cybernetic approach. Social activity is much more complex, since it considers MAS coordination. In this thesis, I discuss it from the perspectives of socio-psychology. The hierarchy and motivation thinking from Activity Systems Theory is introduced to the MAS coordination. To behave intelligent, computer agents should work with knowledge. Knowledge is considered as a run-time property of a group of agents (MAS). During the MAS coordination, agents generate new information through exchanging the information they have. A knowledge component is needed in agent’s architecture for the knowledge related tasks. In my research, I adopt CommonKADS methodology for the design and implementation of agent’s knowledge component. The contribution of this research is twofold: first, MAS coordination is described with perspectives from socio-psychology. According to Activity Systems Theory, MAS is hierarchically organized and driven by the motivation. This thesis introduces a motivation-driven mechanism for the MAS coordination. Second, the research project Integrated Mobile Information Systems for health care (IMIS) indicates that the diabetic health care can be improved by introducing agent-based services to the care-providers and care-receivers. IMIS agents are designed with capabilities of information sharing, organization coordination and task delegation. To perform these tasks, the IMIS agents interact with each other based on the coordination mechanism that is discussed above.