Download Abstraction in artificial intelligence and complex systems by Lorenza Saitta, Jean-Daniel Zucker (auth.) PDF
By Lorenza Saitta, Jean-Daniel Zucker (auth.)
Abstraction is a basic mechanism underlying either human and synthetic conception, illustration of information, reasoning and studying. This mechanism performs an important position in lots of disciplines, particularly laptop Programming, ordinary and synthetic imaginative and prescient, advanced platforms, synthetic Intelligence and computer studying, paintings, and Cognitive Sciences. This booklet first offers the reader with an summary of the notions of abstraction proposed in a number of disciplines via evaluating either commonalities and ameliorations. After discussing the characterizing houses of abstraction, a proper version, the KRA version, is gifted to trap them. This version makes the proposal of abstraction simply appropriate by way of the creation of a suite of abstraction operators and abstraction styles, reusable throughout diversified domain names and functions. it's the influence of abstraction in synthetic Intelligence, complicated platforms and computing device studying which creates the middle of the ebook. A basic framework, in line with the KRA version, is gifted, and its pragmatic strength is illustrated with 3 case reports: 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
The reason is that the cognitive load imposed by processing relational knowledge depends on the complexity of the relations themselves; actually, the number of arguments of a relation makes a good metric for conceptual complexity. In fact, the cost of instantiating a relation is exponential in the number of arguments. These observations, corroborated by experimental findings, led the authors to conclude that associative processing is not noticeably capacity limited, but that there are, on the contrary, severe capacity limitations on relational processing.
The connectionist view of abstraction suffers from the problem of concept complexity, as neural nets have difficulties in representing structured scenarios. 6 Cognition 33 Abstraction as a representation of a category is contrasted by Barsalou with the exemplar representation. In this context, abstraction is intended as a synthesis of common properties associated to a category, as opposed to the memorization of a set of concrete exemplars of the category itself. The two representations are compared in terms of information storage, revision, and loss, and in terms of types of processing that they support.
Each work of art will resonate in its own way over the whole range of human emotions and each person will be touched in a different way” . Art involves an abstract process, exploiting a communication “language” using a set of symbols. In visual arts, this language is based on colors, forms, lines, and so on. The art language of Western cultures had, in the past, a strict link with the reality that was to be communicated: arts were figurative. Later on, the language acquired more and more autonomy, and (at least parts of) the arts became abstract .