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AI aspects in reasoning, languages, ...

Grabowski, Adam.

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AI aspects in reasoning, languages, and coomputation

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	AI aspects in reasoning, languages, and coomputation/ edited by Adam Grabowski, Roussanka Loukanova, Christoph Schwarzweller.
其他作者:	Grabowski, Adam.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	viii, 105 p. :ill., digital ;24 cm.
內容註:	Type-Theory of Acyclic Algorithms for Models of Consecutive Binding of Functional Neuro-Receptors -- Reﬁning Algebraic Hierarchy in Mathematical Repository of Mizar -- Extending Formal Topology in Mizar by Uniform Spaces.
Contained By:	Springer eBooks
標題:	Artificial intelligence. -
電子資源:	https://doi.org/10.1007/978-3-030-41425-2
ISBN:	9783030414252

AI aspects in reasoning, languages, and coomputation
AI aspects in reasoning, languages, and coomputation[electronic resource] /edited by Adam Grabowski, Roussanka Loukanova, Christoph Schwarzweller. - Cham :Springer International Publishing :2020. - viii, 105 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.8891860-949X ;. - Studies in computational intelligence ;v.889..

Type-Theory of Acyclic Algorithms for Models of Consecutive Binding of Functional Neuro-Receptors -- Reﬁning Algebraic Hierarchy in Mathematical Repository of Mizar -- Extending Formal Topology in Mizar by Uniform Spaces.

This book builds on decades of research and provides contemporary theoretical foundations for practical applications to intelligent technologies and advances in artificial intelligence (AI) Reflecting the growing realization that computational models of human reasoning and interactions can be improved by integrating heterogeneous information resources and AI techniques, its ultimate goal is to promote integrated computational approaches to intelligent computerized systems. The book covers a range of interrelated topics, in particular, computational reasoning, language, syntax, semantics, memory, and context information. The respective chapters use and develop logically oriented methods and techniques, and the topics selected are from those areas of logic that contribute to AI and provide its mathematical foundations. The intended readership includes researchers working in the areas of traditional logical foundations, and on new approaches to intelligent computational systems.

ISBN: 9783030414252

Standard No.: 10.1007/978-3-030-41425-2doiSubjects--Topical Terms:

516317
Artificial intelligence.

LC Class. No.: Q335 / .A337 2020

Dewey Class. No.: 006.3

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