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 fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.mst.edu/portal/Geometry-of-knowledge-for-intelligent-systems/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/Geometry-of-knowledge-for-intelligent-systems/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>
