Titlebook: Chance Discovery; Yukio Ohsawa,Peter McBurney Book 2003 Springer-Verlag Berlin Heidelberg 2003 Computer.Forecast.Prediction.Rare Events.Ta

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https://doi.org/10.1007/978-0-387-46115-1oblem that the community has, but that solution must come from without. In this chapter, we separate the area into three facets, chance discovery of online communities, between communities, and within a community. This separation is adequate to capture most contemporary research. We examine and illu

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Statistical methods in physical geodesy,extual shifts of a human, which carries him/her into deeper concerns with actions on chances to be discovered. In other words, scenic information guides a human to the imagination of new environments with new chances. This chapter shows the role of scenic information in up-to-date application domain

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Gravity field outside the earth,ser is immersed into a virtual story world where he or she interacts with animated agents and can make decisions that affect the future development of the story, eventually leading to positive or negative consequences. Our . approach to chance discovery relies on existing real-world stories that are

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Statistical methods in physical geodesy,and thereby produce insights. Here, we present a new kind of representational change associated with analogical reminding called .. We derived the algorithm in part from human data we have on packing. Here, we explain packing and its role in analogy making, and then present a computer model of packi

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https://doi.org/10.1007/978-3-211-33545-1xample of computational abductive reasoning. This hypothetical reasoning system can be applied to explanatory reasoning such as design and diagnosis. However, it can not generate new hypotheses. In our explanation of hypothetical reasoning, we also show the possibilities and the limitations of conve