The Resource Geometry of knowledge for intelligent systems, Germano Resconi, (electronic resource)
Geometry of knowledge for intelligent systems, Germano Resconi, (electronic resource)
Resource Information
The item Geometry of knowledge for intelligent systems, Germano Resconi, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.This item is available to borrow from 1 library branch.
Resource Information
The item Geometry of knowledge for intelligent systems, Germano Resconi, (electronic resource) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Missouri University of Science & Technology Library.
This item is available to borrow from 1 library branch.
 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:
 Language
 eng
 Note
 Also published electronically
 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
 Isbn
 9783642279720
 Label
 Geometry of knowledge for intelligent systems
 Title
 Geometry of knowledge for intelligent systems
 Statement of responsibility
 Germano Resconi
 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:
 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)
 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)
 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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<div class="citation" vocab="http://schema.org/"><i class="fa faexternallinksquare fafw"></i> Data from <span resource="http://link.library.mst.edu/portal/Geometryofknowledgeforintelligentsystems/kCHvLnMsZ2U/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.mst.edu/portal/Geometryofknowledgeforintelligentsystems/kCHvLnMsZ2U/">Geometry of knowledge for intelligent systems, Germano Resconi, (electronic resource)</a></span>  <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.mst.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.mst.edu/">Missouri University of Science & Technology Library</a></span></span></span></span></div>