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Geometry of Knowledge for Intelligent Systems
Germano Resconi
€ 118.87
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Description for Geometry of Knowledge for Intelligent Systems
Paperback. Series: Studies in Computational Intelligence. Num Pages: 292 pages, biography. BIC Classification: PBW; TBJ; UYQ. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 15. Weight in Grams: 450.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
292
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
282
Place of Publication
Berlin, Germany
ISBN
9783642426810
SKU
V9783642426810
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Geometry of Knowledge for Intelligent Systems
From the reviews: “The book puts forward a bridge between agent-based systems and tensor calculus, presenting agent knowledge in a geometric way. … all the modern topics for modeling agent-based systems, like data mining, neural networks, fuzzy and many value logic, are brought together through a geometric reference. The book will be especially valued by those researchers that, beyond ... Read more