| 書目名稱 | Geometry of Knowledge for Intelligent Systems |
| 編輯 | Germano Resconi |
| 視頻video | http://file.papertrans.cn/384/383813/383813.mp4 |
| 概述 | Contains the latest research in the area of intelligent systems.The foundation of intelligent systems is presented from mathematical and physical point of view |
| 叢書名稱 | Studies in Computational Intelligence |
| 圖書封面 |  |
| 描述 | The book is on the geometry of agent knowledge. The important concept studied in this book is the Field and its Geometric Representation. To develop a geometric image of the gravity , Einstein used Tensor Calculus but this is very different from the knowledge instruments used now, as for instance techniques of data mining , neural networks , formal concept analysis ,quantum computer and other topics. The aim of this book is to rebuild the tensor calculus in order to give a geometric representation of agent knowledge. By using a new geometry of knowledge we can unify all the topics that have been studied in recent years to create a bridge between the geometric representation of the physical phenomena and the geometric representation of the individual and subjective knowledge of the agents. |
| 出版日期 | Book 2013 |
| 關(guān)鍵詞 | Computational Intelligence; Intelligent Systems; Uncertainty |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-27972-0 |
| isbn_softcover | 978-3-642-42681-0 |
| isbn_ebook | 978-3-642-27972-0Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2013 |
|Archiver|手機(jī)版|小黑屋|
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