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Download e-book for kindle: Abstraction in artificial intelligence and complex systems by Lorenza Saitta, Jean-Daniel Zucker (auth.)

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

ISBN-10: 146147051X

ISBN-13: 9781461470519

ISBN-10: 1461470528

ISBN-13: 9781461470526

Abstraction is a basic mechanism underlying either human and synthetic belief, illustration of information, reasoning and studying. This mechanism performs a vital function in lots of disciplines, significantly laptop Programming, traditional and synthetic imaginative and prescient, complicated structures, synthetic Intelligence and computing device studying, artwork, and Cognitive Sciences. This e-book first offers the reader with an summary of the notions of abstraction proposed in numerous disciplines through evaluating either commonalities and transformations. After discussing the characterizing homes of abstraction, a proper version, the KRA version, is gifted to catch them. This version makes the inspiration of abstraction simply acceptable by way of the advent of a suite of abstraction operators and abstraction styles, reusable throughout diverse domain names and purposes. it's the influence of abstraction in man made Intelligence, advanced platforms and desktop studying which creates the center of the booklet. A common framework, in response to the KRA version, is gifted, and its pragmatic energy is illustrated with 3 case experiences: Model-based prognosis, Cartographic Generalization, and studying Hierarchical Hidden Markov Models.

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Additional resources for Abstraction in artificial intelligence and complex systems

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201] identify abstraction as a fundamental principle to master complexity in Software Engineering. A specific example is abstract interpretation for program analysis, where a concrete program domain is mapped to an abstract one, in order to capture its semantics. Actually, as most computers can only manipulate two-state physical devices, the whole software development can be considered abstract. Technically, there are two main types of abstraction in Computer Science: procedural abstraction and data abstraction [62].

All three may show different degrees of abstraction, and all three may or may not be classified as art at all: history, context, culture, and social constraints, all play a role in this evaluation. Even before photography, some painter, such as James McNeill Whistler, stressed the importance of transmitting visual sensations rather than precise representations of objects. His work Nocturne in Black and Gold, reported in Fig. 3, is often considered as a first step toward abstract art. A scientific approach to abstract art was proposed by Kandinsky [279], who defined some primitives (points, lines, surfaces) of a work of art, and associated to them an emotional content.

An intriguing process, in which abstraction is likely to play a fundamental role, is fast categorization of animals in natural scenes [132, 158, 211]. It has been observed that humans and non-human primates are able to classify a picture as containing a living being (or some similar task) after an exposure to the picture of only 30 ms, and with a time constraint of at most 1 s (the median is actually 400 ms) for manifesting recognition. The speed at which humans and monkeys can perform the task (answers may be reached within 250 ms, with a minimum of 100 ms [211]) is puzzling, because it suggests that the visual analysis of the pictures must occur in a single feed-forward wave.

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


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