Intelligent Learning Environment
Mostrando 13-24 de 24 artigos, teses e dissertações.
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13. Arquitetura híbrida inteligente para navegação autônoma de robôs / Intelligent hybrid architecture for robot autonomous navigation
This project consists in a autonomous navigation system based on modular neuro-fuzzy networks that is able to guide the robot in unknown environments from a initial point to the goal. Initially, the system is not able to navigate, but after a trial and error period and some collisions, it improves in guiding the robot to the goal efficiently. A intelligent h
Publicado em: 2007
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14. Arquitetura de um agente identificador de fatores motivacionais e afetivos em um ambiente de ensino e aprendizagem / An agent’s architecture that identifies motivational And affective factors in a learning environment
Este trabalho está inserido no grupo de Inteligência Artificial da UFRGS e contribui com os estudos que estão sendo realizados pela Profª. Magda Bercht, ambos sob orientação da Profa. Rosa Maria Viccari. Situa-se na área de Inteligência Artificial, Inteligência Artificial Aplicada à Educação, Sistemas Tutores Inteligentes e Agentes. O objetivo de
Publicado em: 2007
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15. Controle inteligente do caminhar de robôs móveis simulados
The main goal of this dissertation is to propose, to test and to evaluate the use of Machine Learning (ML) techniques in the automatic con_guration of the gait control in legged robots. In order to achieve this goal, an extensive research about state-of-the-art techniques was accomplished and they are described in this work. This research allowed the develop
Publicado em: 2007
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16. Computação Evolutiva para a Construção de Regras de Conhecimento com Propriedades Específicas / Evolutionary Computing for Knowledge Rule Construction with Specific Properties
Most symbolic machine learning approaches use if-then know-ledge rules as the description language in which the learned knowledge is expressed. The aim of these learners is to find a set of classification rules that can be used to predict new instances that have not been seen by the learner before. However, these sorts of learners take into account the rule
Publicado em: 2007
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17. FA_PorT : um framework para sistemas portfólio-tutor baseado em agentes / FA_PorT : a framework for portfolio-tutoring systems basead in agents
Distance Education expands the scope of the inside classroom teaching model since anybody, independent of where he lives or how much available time he has, has the opportunity to initiate or complement his studies. Considering access facility, availability and interaction resources provided, the Internet is a midia sufficiently used for Distance Education. T
Publicado em: 2006
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18. âProject management knowledge learning environment: Ambiente inteligente de aprendizado para educaÃÃo em gerenciamento de projetosâ
Currently, Distance Education (DE) can be seen as a reply to some ever-increasing demands: fast dissemination of knowledge, with low cost and accessibility; qualification, both academic as well as corporative; and life-long learning. However, DE environments have often not reached their potential, because they only present their contents in a very impersonal
Publicado em: 2005
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19. Propostas de metodologias para identificação e controle inteligentes / Proposals of methodologies for intelligent identification and control
This thesis presents proposals of methodologies for intelligent identification and control. A methodology for nonlinear dynamic discrete time systems identification, based on the instrumental variable method and Takagi-Sugeno fuzzy model, is presented. In this methodology, which is an extension of the standard instrumental variable method, the chosen instrum
Publicado em: 2005
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20. Propostas de metodologias para identificação e controle inteligentes
This thesis presents proposals of methodologies for intelligent identification and control. A methodology tor nonlinear dynamic discrete time systems identification, based on the instrumental variable method and Takagi-Sugeno fuzzy model, is presented. In this methodology, which is an extension of the standard instrumental variable method, the chosen instrum
Publicado em: 2005
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21. Um ambiente virtual inteligente e adaptativo baseado em modelos de usuário e conteúdo
Virtual Reality (VR) becomes an attractive alternative for the development of more realistic and interesting visual interfaces for the user. The environments that make use of VR techniques are refered as Virtual Environments (VEs). Nowadays, the attention of research community has been focused to the integration of Artificial Intelligence (AI) and VEs. The o
Publicado em: 2004
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22. HIERARQUICAL NEURO-FUZZY MODELS BASED ON REINFORCEMENT LEARNING FOR INTELLIGENT AGENTS / NOVOS MODELOS NEURO-FUZZY HIERÁRQUICOS COM APRENDIZADO POR REFORÇO PARA AGENTES INTELIGENTES
This thesis investigates neuro-fuzzy hybrid models for automatic learning of actions taken by agents. The objective of these models is to provide an agent with intelligence, making it capable of acquiring and retaining knowledge and of reasoning (infer an action) by interacting with its environment. Learning in these models is performed by a non-supervised p
Publicado em: 2003
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23. ESPECIFICAÇÃO DE UMA SOCIEDADE DE AGENTES PARA UM SISTEMA DE APRENDIZAGEM COOPERATIVA À DISTÂNCIA / SPECIFICATION OF A SOCIETY OF AGENTS FOR A SYSTEM OF COOPERATIVE DISTANCE LEARNING
Cooperative process of teach-learning at a distance of the society of intelligent agents of environment MATHNET. It is presented architecture of the society of agents of the MATHNET that to provide the process with teach-learning. It is in exchange for distinguished the Tutor Agent and the model of communication, based messages and that it uses the FIPA-ACL
Publicado em: 2003
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24. INTELIGÊNCIA COMPUTACIONAL APLICADA EM MACHINE LEARNING / COMPUTATIONAL INTELLIGENCE APLPLIED IN THE FIELD OF MACHINE LEARNING
This work investigates the application and performance of the Computational intelligence technics in the field of Machine Learning. In particular, was investigated the application of intelligent systems (Neural Networks, genetic Algorithms and fuzzy Logic) in the development of algorithms that codify inductive mechanisms in Machine Learning. This work was de
Publicado em: 1999