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Titlebook: KI 2014: Advances in Artificial Intelligence; 37th Annual German C Carsten Lutz,Michael Thielscher Conference proceedings 2014 Springer Int

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书目名称KI 2014: Advances in Artificial Intelligence
副标题37th Annual German C
编辑Carsten Lutz,Michael Thielscher
视频videohttp://file.papertrans.cn/542/541643/541643.mp4
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: KI 2014: Advances in Artificial Intelligence; 37th Annual German C Carsten Lutz,Michael Thielscher Conference proceedings 2014 Springer Int
描述.This book constitutes the refereed proceedings of the 37th Annual German Conference on Artificial Intelligence, KI 2014, held in Stuttgart, Germany, in September 2014. The 24 revised full papers presented together with 7 short papers were carefully reviewed and selected from 62 submissions. The papers are organized in thematic topics on cognitive modeling, computer vision, constraint satisfaction, search, and optimization, knowledge representation and reasoning, machine learning and data mining, planning and scheduling..
出版日期Conference proceedings 2014
关键词case-based reasoning; cognitive modeling; computer vision; constraint satisfaction, search, and optimiz
版次1
doihttps://doi.org/10.1007/978-3-319-11206-0
isbn_softcover978-3-319-11205-3
isbn_ebook978-3-319-11206-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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A Note on Chances and Limitations of Psychometric AInce is not entirely clear; there are no criteria commonly agreed upon necessary or sufficient for the ascription of intelligence other than similarity to human performance (and even this criterion is open for a plethora of possible interpretations); there is a lack of clarity concerning how to prope
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Applying AI for Modeling and Understanding Analogy-Based Classroom Teaching Tools and Techniquespired analogy engines in an educational context. It complements the earlier work with an additional fully worked out example by providing a short analysis and a detailed formal model (based on the Heuristic-Driven Theory Projection computational analogy framework) of the Number Highrise, a tool for
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Environment-Adaptive Learning: How Clustering Helps to Obtain Good Training Datan a given environment with very little user interaction. The main idea of our approach is that clustering methods can help to reduce the number of required label queries from user interaction, and at the same time provide the potential to select useful data to learn from. In contrast to standard met
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Energy-Efficient Routing: Taking Speed into Accountpproaches we do not only make use of variation of the routes to save energy but also allow variation of driving speed along the route to achieve energy savings. Our approach is based on a simple yet fundamental insight about the optimal velocities along a fixed route and a reduction to the constrain
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