Geometry of Knowledge for Intelligent Systems

Germano Resconi

ISBN 10: 3642279716 / ISBN 13: 9783642279713

Published by Springer Berlin Heidelberg, 2012

About this Item

Druck auf Anfrage Neuware - Printed after ordering - The book is on the geometry of agent knowledge. The important concept which we study 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 that are used now. For instance techniques of data mining, neural networks, formal concept analysis, quantum computer and other topics are quite different from tensor calculus. Our aim in this book is to rebuild the tensor calculus and develop a new representation. By using new geometric image we can unify all the topics that have been studied in recent years to create a bridge between the traditional physical phenomena based on an individual and subjective approach to the knowledge.

Seller Inventory # 9783642279713

Bibliographic Details

• Title: Geometry of Knowledge for Intelligent Systems
• Publisher: Springer Berlin Heidelberg
• Publication Date: 2012
• Language: English
• ISBN 10: 3642279716
• ISBN 13: 9783642279713
• Binding: Buch
• Condition: Neu
• Dimensions: 241W x 160H x 21D millimeters 241 millimeters width by 160 millimeters height by 21 millimeters depth
• Weight: 606 grams

About this title

Synopsis

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.