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Titlebook: Advances in Simulation and Digital Human Modeling; Proceedings of the A Daniel N Cassenti,Sofia Scataglini,Julia L. Wright Conference proce

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Computer Analysis of Images and Patternsimilate information, identify any discrepancies between information sources and determine ground truth. As a result, it is critical to prepare individual performers to make effective decisions when faced with information conflicts. This paper presents a discussion of training techniques which can ut
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Computer Analysis of Images and Patterns refine skills. Performance within these training tasks are likely to benefit from appropriate feedback and assessments. As the usefulness of VEs and adaptive training technology become more valuable, recommendations and considerations on their integration are important to explore. There are opportu
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Lecture Notes in Computer Science and intelligent agents across many domains. For humans to make effective, well-informed decisions, visualizations must maximize the amount of critical information communicated in a way that complexity is not prohibitive of fast and accurate understanding. In this review, we first identify common ap
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Junli Tao,Bok-Suk Shin,Reinhard Klette, such research has been limited by a lack of publicly available claim settlement data. This paper takes an initial step in resolving that problem by developing an agent-based model simulating negotiation between insurance companies and restoration vendors. We examine the role that macro level const
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Hayato Itoh,Atsushi Imiya,Tomoya Sakais pairwise comparisons of simple advertisement leaflets, differed in their layout orientation and captions’ styles. A simulation experiment was conducted to specify the most appropriate HMMs in terms of information criteria. Six best models were discussed in detail. The identified hidden states toge
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