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|a 9783642279720
|9 978-3-642-27972-0
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|a 10.1007/978-3-642-27972-0
|2 doi
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|a TA329-348
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|a Resconi, Germano.
|e author.
|4 aut
|4 http://id.loc.gov/vocabulary/relators/aut
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|a Geometry of Knowledge for Intelligent Systems
|h [electronic resource] /
|c by Germano Resconi.
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|a 1st ed. 2013.
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2013.
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|a X, 282 p.
|b online resource.
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|a text
|b txt
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|a computer
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|a online resource
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|a text file
|b PDF
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|a Studies in Computational Intelligence,
|x 1860-9503 ;
|v 407
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|a An Introduction to the Geometry of Agent Knowledge -- Tensor Calculus and Formal Concepts -- Geometry and Agent Coherence -- Field Theory for Knowledge -- Brain Neurodynamic and Tensor Calculus -- Electrical Circuit as constrain in the multidimensional space of the voltages or currents -- Superposition and Geometry for Evidence and Quantum Mechanics in the Tensor Calculus -- The Logic of Uncertainty and geometry of the worlds.
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|a 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.
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|a Engineering mathematics.
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|a Engineering-Data processing.
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|a Artificial intelligence.
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|a Mathematics.
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|a Mathematical and Computational Engineering Applications.
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|a Artificial Intelligence.
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|a Applications of Mathematics.
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783642279713
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|i Printed edition:
|z 9783642279737
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|i Printed edition:
|z 9783642426810
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|a Studies in Computational Intelligence,
|x 1860-9503 ;
|v 407
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|u https://doi.uam.elogim.com/10.1007/978-3-642-27972-0
|z Texto Completo
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|a ZDB-2-ENG
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|a ZDB-2-SXE
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|a Engineering (SpringerNature-11647)
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|a Engineering (R0) (SpringerNature-43712)
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