Durham Medical Books > Data Mining > Abstraction in artificial intelligence and complex systems - download pdf or read online

Abstraction in artificial intelligence and complex systems - download pdf or read online

By Lorenza Saitta, Jean-Daniel Zucker (auth.)

ISBN-10: 146147051X

ISBN-13: 9781461470519

ISBN-10: 1461470528

ISBN-13: 9781461470526

Abstraction is a primary mechanism underlying either human and synthetic notion, illustration of information, reasoning and studying. This mechanism performs an important function in lots of disciplines, particularly desktop Programming, traditional and synthetic imaginative and prescient, complicated structures, synthetic Intelligence and laptop studying, paintings, and Cognitive Sciences. This ebook first presents the reader with an summary of the notions of abstraction proposed in a number of disciplines via evaluating either commonalities and alterations. After discussing the characterizing homes of abstraction, a proper version, the KRA version, is gifted to catch them. This version makes the proposal of abstraction simply appropriate through the creation of a suite of abstraction operators and abstraction styles, reusable throughout varied domain names and functions. it's the impression of abstraction in synthetic Intelligence, complicated structures and laptop studying which creates the center of the ebook. A basic framework, in accordance with the KRA version, is gifted, and its pragmatic strength is illustrated with 3 case experiences: Model-based analysis, Cartographic Generalization, and studying Hierarchical Hidden Markov Models.

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The place occupied by the subject can be defined as the federating core of panoramic local views, because it is the point of view of all local views that can be obtained by a 360◦ rotation around the subject. Another aspect of spatial cognition where abstraction comes into play is place and spatial relationship invariance. When an invisible target place has to be reached, invariant relations among visible landmarks can be exploited. Knowledge of this invariance is abstract, as it does not depend anymore from the concrete descriptions.

These authors define other types of abstraction as well, which will be described in Sect. 2. Colburn and Shute [111] make a point is differentiating Computer Science from empirical sciences, because the latter ones have concrete models in the form of experimental apparata as well as abstract mathematical models, whereas the former has only software models, which are not physically concrete. , the use of formalism), and the objectives. The main reason of abstraction in Mathematics are inference structures (theorems and their proofs), while in Computer Science it is interaction patterns (pieces of software).

For example, in La Fontaine’s fable Les deux coqs (VII, 13) the sentence “tout cet orgueil périt … (all this pride dies)”, refers, actually to the dying cock. 3 Mathematics Mathematics is similar to languages with respect to its relation to abstraction; in fact, in some generic way everything in it is abstract, because Mathematics only manipulates objects that are far from the sensory world. As Staub and Stern put it [506], “most people would agree that Mathematics is more abstract than Geography.

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Abstraction in artificial intelligence and complex systems by Lorenza Saitta, Jean-Daniel Zucker (auth.)

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