914 resultados para abstract reasoning


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In this paper, we describe a study of the abstract thinking skills of a group of students studying object-oriented modelling as part of a Masters course. Abstract thinking has long been considered a core skill for computer scientists. This study is part of attempts to gather evidence about the link between abstract thinking skills and success in the Computer Science discipline. The results of this study show a positive correlation between the scores of the students in the abstract thinking test with the marks achieved in the module. However, the small numbers in the study mean that wider research is needed.

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Neuroimaging studies of aesthetic appreciation have shown that activity in the lateral occipital area (LO)—a key node in the object recognition pathway—is modulated by the extent to which visual artworks are liked or found beautiful. However, the available evidence is only correlational. Here we used transcranial magnetic stimulation (TMS) to investigate the putative causal role of LO in the aesthetic appreciation of paintings. In our first experiment, we found that interfering with LO activity during aesthetic appreciation selectively reduced evaluation of representational paintings, leaving appreciation of abstract paintings unaffected. A second experiment demonstrated that, although the perceived clearness of the images overall positively correlated with liking, the detrimental effect of LO TMS on aesthetic appreciation does not owe to TMS reducing perceived clearness. Taken together, our findings suggest that object-recognition mechanisms mediated by LO play a causal role in aesthetic appreciation of representational art.

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In this paper we present a concept of an agent-based strategy to allocate services on a Cloud system without overloading nodes and maintaining the system stability with minimum cost. To provide a base for our research we specify an abstract model of cloud resources utilization, including multiple types of resources as well as considerations for the service migration costs. We also present an early version of simulation environment and a prototype of agent-based load balancer implemented in functional language Scala and Akka framework.

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It is now well established that some patients who are diagnosed as being in a vegetative state or a minimally conscious state show reliable signs of volition that may only be detected by measuring neural responses. A pertinent question is whether these patients are also capable of logical thought. Here, we validate an fMRI paradigm that can detect the neural fingerprint of reasoning processes and moreover, can confirm whether a participant derives logical answers. We demonstrate the efficacy of this approach in a physically non-communicative patient who had been shown to engage in mental imagery in response to simple audi- tory instructions. Our results demonstrate that this individual retains a remarkable capacity for higher cogni- tion, engaging in the reasoning task and deducing logical answers. We suggest that this approach is suitable for detecting residual reasoning ability using neural responses and could readily be adapted to assess other aspects of cognition.

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Metaheuristics performance is highly dependent of the respective parameters which need to be tuned. Parameter tuning may allow a larger flexibility and robustness but requires a careful initialization. The process of defining which parameters setting should be used is not obvious. The values for parameters depend mainly on the problem, the instance to be solved, the search time available to spend in solving the problem, and the required quality of solution. This paper presents a learning module proposal for an autonomous parameterization of Metaheuristics, integrated on a Multi-Agent System for the resolution of Dynamic Scheduling problems. The proposed learning module is inspired on Autonomic Computing Self-Optimization concept, defining that systems must continuously and proactively improve their performance. For the learning implementation it is used Case-based Reasoning, which uses previous similar data to solve new cases. In the use of Case-based Reasoning it is assumed that similar cases have similar solutions. After a literature review on topics used, both AutoDynAgents system and Self-Optimization module are described. Finally, a computational study is presented where the proposed module is evaluated, obtained results are compared with previous ones, some conclusions are reached, and some future work is referred. It is expected that this proposal can be a great contribution for the self-parameterization of Metaheuristics and for the resolution of scheduling problems on dynamic environments.

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In this paper we present a Self-Optimizing module, inspired on Autonomic Computing, acquiring a scheduling system with the ability to automatically select a Meta-heuristic to use in the optimization process, so as its parameterization. Case-based Reasoning was used so the system may be able of learning from the acquired experience, in the resolution of similar problems. From the obtained results we conclude about the benefit of its use.

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Dissertação apresentada à Escola Superior de Educação de Lisboa para a obtenção de grau de Mestre em Didática da Língua Portuguesa no 1.º e 2.º Ciclos do Ensino Básico

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Relatório da Prática Profissional Supervisionada Mestrado em Educação Pré-Escolar

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Relatório final apresentado à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Ensino do 1.º e 2.º Ciclos do Ensino Básico

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I (Prática Pedagógica)- No que se refere à secção da tese dedicada ao estágio, esta pretende desenvolver uma síntese do que se passou ao longo deste ano lectivo. Durante o ano lectivo 2012/2013, tive a oportunidade de assistir a aulas ministradas pela professora Ana Valente. A tese procura focar variados aspectos das aulas a que assisti. De uma forma geral, o relatório do estágio evidencia vários aspectos: metodologias de ensino, questões motivacionais, relação aluno/professor, questões de disciplina, entre outras. No decorrer das aulas, foi possível constatar muitas dessas questões na prática. Tentei registar as actividades desenvolvidas nas aulas relativas a várias questões, nomeadamente questões relacionadas com a prática do instrumento, assim como outras relacionadas com a noção de musicalidade. Como resultado, esta secção apresenta diversos tipos de estratégias de ensino, ilustrando exemplos práticos que efectivamente se passaram nas aulas. É essencialmente, uma secção dedicada à reflexão sobre metodologias de ensino e estudo. A segunda parte desta secção é relativa à análise das gravações das aulas dadas por mim e pretende sobretudo focar-se na crítica pessoal. É uma parte importante do estágio, em que tenho a oportunidade de observar a minha forma pedagógica de lidar com os alunos. Por fim, a terceira parte do relatório refere-se à observação crítica da abordagem da professora tendo por base o meu ponto de vista. Esta parte pretende essencialmente descrever e analisar a forma como a professora dá as aulas. Com base no que disse anteriormente, esta parte do trabalho mostra mais em detalhe as metodologias e estratégias de ensino utilizadas pela professora em questão. De um modo geral, esta secção pretende descrever as três vertentes que mencionei anteriormente (relatório das aulas, análise das gravações, observação crítica ao método pedagógico da professora).

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Projeto de Intervenção apresentado à Escola Superior de Educação de Lisboa para obtenção do grau de Mestre em Educação Especial, Especialização em Problemas de Aprendizagem e Comportamento

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Relatório da Prática Profissional Supervisionada Mestrado em Educação Pré-Escolar