Overview
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.
Full Product Details
Author: Germano Resconi
Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition: 2013 ed.
Volume: 407
Dimensions:
Width: 15.50cm
, Height: 1.70cm
, Length: 23.50cm
Weight: 0.606kg
ISBN: 9783642279713
ISBN 10: 3642279716
Pages: 282
Publication Date: 27 July 2012
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
Reviews
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 computer science, mathematics or physics, express as well interest in philosophy. (Ruxandra Stoean, Zentralblatt MATH, Vol. 1260, 2013)
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 computer science, mathematics or physics, express as well interest in philosophy. (Ruxandra Stoean, Zentralblatt MATH, Vol. 1260, 2013)
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 computer science, mathematics or physics, express as well interest in philosophy.” (Ruxandra Stoean, Zentralblatt MATH, Vol. 1260, 2013)
