| 期刊全称 | Abstraction in Artificial Intelligence and Complex Systems | | 影响因子2023 | Lorenza Saitta,Jean-Daniel Zucker | | 视频video | | | 发行地址 | Collects, describes and compares various approaches to abstraction proposed in the literature of various fields.Discusses why abstraction plays a key role in AI artifacts, using concrete examples, suc | | 图书封面 |  | | 影响因子 | 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 Mode | | Pindex | Book 20131st edition |
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发表于 2025-3-21 18:06:54
