Cargando…
Geometry of Knowledge for Intelligent Systems
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 te...
Autor principal: | |
---|---|
Lenguaje: | eng |
Publicado: |
Springer
2013
|
Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-3-642-27972-0 http://cds.cern.ch/record/1500256 |
_version_ | 1780926871153672192 |
---|---|
author | Resconi, Germano |
author_facet | Resconi, Germano |
author_sort | Resconi, Germano |
collection | CERN |
description | 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. |
id | cern-1500256 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2013 |
publisher | Springer |
record_format | invenio |
spelling | cern-15002562021-04-22T00:02:02Zdoi:10.1007/978-3-642-27972-0http://cds.cern.ch/record/1500256engResconi, GermanoGeometry of Knowledge for Intelligent SystemsEngineeringThe 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.Springeroai:cds.cern.ch:15002562013 |
spellingShingle | Engineering Resconi, Germano Geometry of Knowledge for Intelligent Systems |
title | Geometry of Knowledge for Intelligent Systems |
title_full | Geometry of Knowledge for Intelligent Systems |
title_fullStr | Geometry of Knowledge for Intelligent Systems |
title_full_unstemmed | Geometry of Knowledge for Intelligent Systems |
title_short | Geometry of Knowledge for Intelligent Systems |
title_sort | geometry of knowledge for intelligent systems |
topic | Engineering |
url | https://dx.doi.org/10.1007/978-3-642-27972-0 http://cds.cern.ch/record/1500256 |
work_keys_str_mv | AT resconigermano geometryofknowledgeforintelligentsystems |