Coverart for item
The Resource Geometry of knowledge for intelligent systems, Germano Resconi, (electronic resource)

Geometry of knowledge for intelligent systems, Germano Resconi, (electronic resource)

Label
Geometry of knowledge for intelligent systems
Title
Geometry of knowledge for intelligent systems
Statement of responsibility
Germano Resconi
Creator
Subject
Language
eng
Summary
  • 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
  • Annotation:
Member of
Cataloging source
SzZUIDS
http://library.link/vocab/creatorName
Resconi, Germano
Dewey number
515.63
LC call number
QA433
LC item number
.R47 2013
Series statement
Studies in computational intelligence
Series volume
407
http://library.link/vocab/subjectName
  • Calculus of tensors
  • Logic, Symbolic and mathematical
  • Intelligent agents (Computer software)
  • Tensoranalysis
  • Agent
  • Soft Computing
  • Visualisierung
  • Wissensrepräsentation
Summary expansion
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
Label
Geometry of knowledge for intelligent systems, Germano Resconi, (electronic resource)
Instantiates
Publication
Note
Also published electronically
Bibliography note
Includes bibliographical references
Contents
  • 1. An introduction to the geometry of agent knowledge -- 2. Tensor calculus and formal concepts -- 3. Geometry and agent coherence -- 4. Field theory for knowledge -- 5. Brain neurodynamic and tensor calculus -- 6. Electrical circuit as constrain in the multidimensional space of the voltages or currents -- 7. Superposition and geometry for evidence and quantum mechanics in the tensor calculus -- 8. The logic of uncertainty and geometry of the worlds
  • 1. An introduction to the geometry of agent knowledge -- 2. Tensor calculus and formal concepts -- 3. Geometry and agent coherence -- 4. Field theory for knowledge -- 5. Brain neurodynamic and tensor calculus -- 6. Electrical circuit as constrain in the multidimensional space of the voltages or currents -- 7. Superposition and geometry for evidence and quantum mechanics in the tensor calculus -- 8. The logic of uncertainty and geometry of the worlds
  • 1. An introduction to the geometry of agent knowledge -- 2. Tensor calculus and formal concepts -- 3. Geometry and agent coherence -- 4. Field theory for knowledge -- 5. Brain neurodynamic and tensor calculus -- 6. Electrical circuit as constrain in the multidimensional space of the voltages or currents -- 7. Superposition and geometry for evidence and quantum mechanics in the tensor calculus -- 8. The logic of uncertainty and geometry of the worlds
  • 1. An introduction to the geometry of agent knowledge -- 2. Tensor calculus and formal concepts -- 3. Geometry and agent coherence -- 4. Field theory for knowledge -- 5. Brain neurodynamic and tensor calculus -- 6. Electrical circuit as constrain in the multidimensional space of the voltages or currents -- 7. Superposition and geometry for evidence and quantum mechanics in the tensor calculus -- 8. The logic of uncertainty and geometry of the worlds
  • 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
Control code
OCM1bookssj0000745972
Dimensions
unknown
Isbn
9783642279720
Lccn
2011945322
Specific material designation
remote
System control number
(WaSeSS)bookssj0000745972
Label
Geometry of knowledge for intelligent systems, Germano Resconi, (electronic resource)
Publication
Note
Also published electronically
Bibliography note
Includes bibliographical references
Contents
  • 1. An introduction to the geometry of agent knowledge -- 2. Tensor calculus and formal concepts -- 3. Geometry and agent coherence -- 4. Field theory for knowledge -- 5. Brain neurodynamic and tensor calculus -- 6. Electrical circuit as constrain in the multidimensional space of the voltages or currents -- 7. Superposition and geometry for evidence and quantum mechanics in the tensor calculus -- 8. The logic of uncertainty and geometry of the worlds
  • 1. An introduction to the geometry of agent knowledge -- 2. Tensor calculus and formal concepts -- 3. Geometry and agent coherence -- 4. Field theory for knowledge -- 5. Brain neurodynamic and tensor calculus -- 6. Electrical circuit as constrain in the multidimensional space of the voltages or currents -- 7. Superposition and geometry for evidence and quantum mechanics in the tensor calculus -- 8. The logic of uncertainty and geometry of the worlds
  • 1. An introduction to the geometry of agent knowledge -- 2. Tensor calculus and formal concepts -- 3. Geometry and agent coherence -- 4. Field theory for knowledge -- 5. Brain neurodynamic and tensor calculus -- 6. Electrical circuit as constrain in the multidimensional space of the voltages or currents -- 7. Superposition and geometry for evidence and quantum mechanics in the tensor calculus -- 8. The logic of uncertainty and geometry of the worlds
  • 1. An introduction to the geometry of agent knowledge -- 2. Tensor calculus and formal concepts -- 3. Geometry and agent coherence -- 4. Field theory for knowledge -- 5. Brain neurodynamic and tensor calculus -- 6. Electrical circuit as constrain in the multidimensional space of the voltages or currents -- 7. Superposition and geometry for evidence and quantum mechanics in the tensor calculus -- 8. The logic of uncertainty and geometry of the worlds
  • 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
Control code
OCM1bookssj0000745972
Dimensions
unknown
Isbn
9783642279720
Lccn
2011945322
Specific material designation
remote
System control number
(WaSeSS)bookssj0000745972

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