850 resultados para Navy Center for Applied Research in Artificial Intelligence (U.S.)


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The purpose of the current study was to examine two different trajectories of sport participation and explore any similarities or differences that may result regarding per­sonal development and sport outcomes. Seventy-four youth athletes (40 “specializ­ers” and 34 “samplers”) were recruited for the current study and four measures were employed to assess sport experiences and outcomes. Discriminant function analyses revealed no differences between groups in asset possession or sources of enjoyment however, differences were reported in sport experiences and burnout. The “samplers” reported more experiences regarding the integration of sport and family as well as linkages to the community. Although the “specializers” reported higher levels of physical/emotional exhaustion than did the “samplers,” they also reported more expe­riences related to diverse peer groups. The differences highlight the importance of examining specific pathways of development in sport to gain a deeper understanding of youths’ experiences in sport.

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Bibliographical footnotes.

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In this paper a prior knowledge representation for Artificial General Intelligence is proposed based on fuzzy rules using linguistic variables. These linguistic variables may be produced by neural network. Rules may be used for generation of basic emotions – positive and negative, which influence on planning and execution of behavior. The representation of Three Laws of Robotics as such prior knowledge is suggested as highest level of motivation in AGI.