The Resource Abstraction in artificial intelligence and complex systems, Lorenza Saitta, Jean-Daniel Zucker
Abstraction in artificial intelligence and complex systems, Lorenza Saitta, Jean-Daniel Zucker
Resource Information
The item Abstraction in artificial intelligence and complex systems, Lorenza Saitta, Jean-Daniel Zucker represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Abstraction in artificial intelligence and complex systems, Lorenza Saitta, Jean-Daniel Zucker represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- Summary
- Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning. This mechanism plays a crucial role in many disciplines, notably Computer Programming, Natural and Artificial Vision, Complex Systems, Artificial Intelligence and Machine Learning, Art, and Cognitive Sciences. This book first provides the reader with an overview of the notions of abstraction proposed in various disciplines by comparing both commonalities and differences. After discussing the characterizing properties of abstraction, a formal model, the KRA model, is presented to capture them. This model makes the notion of abstraction easily applicable by means of the introduction of a set of abstraction operators and abstraction patterns, reusable across different domains and applications. It is the impact of abstraction in Artificial Intelligence, Complex Systems and Machine Learning which creates the core of the book. A general framework, based on the KRA model, is presented, and its pragmatic power is illustrated with three case studies: Model-based diagnosis, Cartographic Generalization, and learning Hierarchical Hidden Markov Models
- Language
- eng
- Extent
- 1 online resource (xvi, 484 pages)
- Contents
-
- Properties of the KRA Model
- Abstraction in Machine Learning
- Simplicity, Complex Systems, and Abstraction
- Case Studies and Applications
- Discussion
- Conclusion
- Introduction
- Abstraction in Different Disciplines
- Abstraction in Artificial Intelligence
- Definitions of Abstraction
- Boundaries of Abstraction
- The KRA KRA Model
- Abstraction Operators and Design Patterns
- Isbn
- 9781461470519
- Label
- Abstraction in artificial intelligence and complex systems
- Title
- Abstraction in artificial intelligence and complex systems
- Statement of responsibility
- Lorenza Saitta, Jean-Daniel Zucker
- Subject
-
- Abstraction
- Artificial Intelligence
- Artificial Intelligence (incl. Robotics)
- Artificial intelligence -- Philosophy
- Artificial intelligence -- Philosophy
- Artificial intelligence -- Philosophy
- Artificial intelligence.
- COMPUTERS -- Enterprise Applications | Business Intelligence Tools
- COMPUTERS -- Intelligence (AI) & Semantics
- Computer Appl. in Arts and Humanities
- Computer Appl. in Arts and Humanities.
- Computer Science
- Computer science.
- Computer vision.
- Data Mining and Knowledge Discovery
- Data mining.
- Image Processing and Computer Vision
- Image Processing and Computer Vision.
- Information systems.
- Abstraction
- Abstraction
- Language
- eng
- Summary
- Abstraction is a fundamental mechanism underlying both human and artificial perception, representation of knowledge, reasoning and learning. This mechanism plays a crucial role in many disciplines, notably Computer Programming, Natural and Artificial Vision, Complex Systems, Artificial Intelligence and Machine Learning, Art, and Cognitive Sciences. This book first provides the reader with an overview of the notions of abstraction proposed in various disciplines by comparing both commonalities and differences. After discussing the characterizing properties of abstraction, a formal model, the KRA model, is presented to capture them. This model makes the notion of abstraction easily applicable by means of the introduction of a set of abstraction operators and abstraction patterns, reusable across different domains and applications. It is the impact of abstraction in Artificial Intelligence, Complex Systems and Machine Learning which creates the core of the book. A general framework, based on the KRA model, is presented, and its pragmatic power is illustrated with three case studies: Model-based diagnosis, Cartographic Generalization, and learning Hierarchical Hidden Markov Models
- Cataloging source
- GW5XE
- http://library.link/vocab/creatorDate
- 1944-
- http://library.link/vocab/creatorName
- Saitta, Lorenza
- Dewey number
- 006.301
- Illustrations
- illustrations
- Index
- index present
- Language note
- English
- LC call number
- Q335
- LC item number
- .S25 2013
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- NLM call number
- Q 335
- http://library.link/vocab/relatedWorkOrContributorName
- Zucker, Jean-Daniel
- http://library.link/vocab/subjectName
-
- Artificial intelligence
- Abstraction
- Artificial Intelligence
- Computer Science
- Artificial Intelligence (incl. Robotics)
- Image Processing and Computer Vision
- Data Mining and Knowledge Discovery
- Computer Appl. in Arts and Humanities
- COMPUTERS
- COMPUTERS
- Abstraction
- Artificial intelligence
- Label
- Abstraction in artificial intelligence and complex systems, Lorenza Saitta, Jean-Daniel Zucker
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Properties of the KRA Model
- Abstraction in Machine Learning
- Simplicity, Complex Systems, and Abstraction
- Case Studies and Applications
- Discussion
- Conclusion
- Introduction
- Abstraction in Different Disciplines
- Abstraction in Artificial Intelligence
- Definitions of Abstraction
- Boundaries of Abstraction
- The KRA KRA Model
- Abstraction Operators and Design Patterns
- Control code
- 847976995
- Dimensions
- unknown
- Extent
- 1 online resource (xvi, 484 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781461470519
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4614-7052-6
- Other physical details
- illustrations (some color)
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)847976995
- Label
- Abstraction in artificial intelligence and complex systems, Lorenza Saitta, Jean-Daniel Zucker
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and index
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Properties of the KRA Model
- Abstraction in Machine Learning
- Simplicity, Complex Systems, and Abstraction
- Case Studies and Applications
- Discussion
- Conclusion
- Introduction
- Abstraction in Different Disciplines
- Abstraction in Artificial Intelligence
- Definitions of Abstraction
- Boundaries of Abstraction
- The KRA KRA Model
- Abstraction Operators and Design Patterns
- Control code
- 847976995
- Dimensions
- unknown
- Extent
- 1 online resource (xvi, 484 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781461470519
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4614-7052-6
- Other physical details
- illustrations (some color)
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)847976995
Subject
- Abstraction
- Artificial Intelligence
- Artificial Intelligence (incl. Robotics)
- Artificial intelligence -- Philosophy
- Artificial intelligence -- Philosophy
- Artificial intelligence -- Philosophy
- Artificial intelligence.
- COMPUTERS -- Enterprise Applications | Business Intelligence Tools
- COMPUTERS -- Intelligence (AI) & Semantics
- Computer Appl. in Arts and Humanities
- Computer Appl. in Arts and Humanities.
- Computer Science
- Computer science.
- Computer vision.
- Data Mining and Knowledge Discovery
- Data mining.
- Image Processing and Computer Vision
- Image Processing and Computer Vision.
- Information systems.
- Abstraction
- Abstraction
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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.missouri.edu/portal/Abstraction-in-artificial-intelligence-and/MY47X2yQWrg/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Abstraction-in-artificial-intelligence-and/MY47X2yQWrg/">Abstraction in artificial intelligence and complex systems, Lorenza Saitta, Jean-Daniel Zucker</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>