Abstraction in artificial intelligence and complex systems
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...
| Main Author: | Saitta, Lorenza, 1944- |
|---|---|
| Other Authors: | Zucker, Jean-Daniel,, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
New York, NY :
Springer,
©2013.
New York, NY : [2013] |
| Physical Description: |
1 online resource (xvi, 484 pages) : illustrations (some color) |
| Subjects: |
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| 100 | 1 | |a Saitta, Lorenza, |d 1944- | |
| 245 | 1 | 0 | |a Abstraction in artificial intelligence and complex systems / |c Lorenza Saitta, Jean-Daniel Zucker. |
| 260 | |a New York, NY : |b Springer, |c ©2013. | ||
| 264 | 1 | |a New York, NY : |b Springer, |c [2013] | |
| 264 | 4 | |c ©2013. | |
| 300 | |a 1 online resource (xvi, 484 pages) : |b illustrations (some color) | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |6 880-01 |t Introduction -- |t Abstraction in Different Disciplines -- |t Abstraction in Artificial Intelligence -- |t Definitions of Abstraction -- |t Boundaries of Abstraction -- |t The KRA KRA Model -- |t Abstraction Operators and Design Patterns -- |t Properties of the KRA Model -- |t Abstraction in Machine Learning -- |t Simplicity, Complex Systems, and Abstraction -- |t Case Studies and Applications -- |t Discussion -- |t Conclusion. |
| 520 | |a 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. | ||
| 588 | 0 | |a Print version record. | |
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| 650 | 0 | |a Artificial intelligence |x Philosophy. | |
| 650 | 0 | |a Abstraction. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 2 | |a Artificial Intelligence. | |
| 650 | 1 | 0 | |a Computer science. |
| 650 | 2 | 0 | |a Artificial intelligence. |
| 650 | 2 | 0 | |a Image processing. |
| 650 | 2 | 0 | |a Computer vision. |
| 630 | 0 | 0 | |a Chapman & Hall/CRC data mining and knowledge discovery series. |
| 650 | 2 | 4 | |a Computer Appl. in Arts and Humanities. |
| 650 | 6 | |a Intelligence artificielle |x Philosophie. | |
| 650 | 6 | |a Abstraction. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 7 | |a artificial intelligence. |2 aat. | |
| 650 | 7 | |a COMPUTERS |x Enterprise Applications |x Business Intelligence Tools. |2 bisacsh. | |
| 650 | 7 | |a abstraction. |2 aat. | |
| 650 | 7 | |a COMPUTERS |x Intelligence (AI) & Semantics. |2 bisacsh. | |
| 650 | 7 | |a Artificial intelligence. |2 fast. | |
| 650 | 7 | |a Abstraction. |2 fast. | |
| 650 | 7 | |a Artificial intelligence |x Philosophy. |2 fast. | |
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| 700 | 1 | |a Zucker, Jean-Daniel, |e author. | |
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| 880 | 8 | |6 505-01/(S |a 7.4 Hierarchy Generating Operators7.4.1 Operator that Builds a Hierarchy of Types: }hiertype; 7.4.2 Operator that Builds a Hierarchy of Attribute Values: }hierattrval; 7.5 Composition Operators; 7.5.1 Operator that Builds a Collective Object: }coll; 7.5.2 Operator that Aggregates Objects/Types: }aggr; 7.5.3 Operator that Builds up a Group of Objects: }group; 7.5.4 Operator that Constructs a New Description Element: }constr; 7.6 Approximation Operators; 7.6.1 Replacement Operator: urepl; 7.6.2 Identification Operator; 7.7 Reformulation; 7.8 Overview of Operators; 7.9 Abstraction Processes. | |
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