This paper presents an adaptive learning model for market-making under the reinforcement learning framework. Reinforcement learning is a learning technique in which agents aim to maximize the long-term accumulated rewards. No knowledge of the market environment, such as the order…

Environmental assessments of regional development projects have been used in Mexico to determine where conflicts between conservation of biodiversity and resource extraction are likely to occur. Speciesrich areas have been acknowledged as a priority for conservation. However, biological information is…

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This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

Over the past several decades, abundant research has investigated the onset of gender role development in early childhood, suggesting that children as young as 3 possess substantial awareness of gender stereotypes and, by age 5, strong beliefs about the need…

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El proyecto KNOW pretende añadir significado, conocimiento y razonamiento a las tecnologías actuales de Procesamiento del Lenguaje Natural., The KNOW project aims to add meaning, knowledge and reasoning to current Natural Language Processing technologies., TIN2006-15049-C03.

The underlying assumption of this study is the understanding of a specialized term as a summary of disciplinary knowledge, formalized at a textual level in the contextual relations which structure disciplinary lexical knowledge and are therefore essential for the successful…

This paper outlines and exemplifies the features of Learning Study, a form of teacher action research which has the potential to create the conditions necessary for building pedagogical knowledge. Learning Study is a coalescence of lesson study, design based research…

Evolutionary algorithms (EAs) are merely blind search algorithms, which only make use of the relative fitness of solutions, but completely ignore the nature of the problem. Their performance can be improved by using new multirecombinative approaches, which provide a good…