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Ontology of Communication : Agent-Based Data-Driven or Sign-Based Substitution-Driven? / by Roland Hausser

データ種別	電子ブック
版	1st ed. 2023.
出版者	(Cham : Springer Nature Switzerland : Imprint: Springer)
出版年	2023
大きさ	XVI, 258 p. 1 illus : online resource
著者標目	*Hausser, Roland author SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0001903	Computer Scinece R0 2005-6,2022-3				9783031227394

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一般注記	Preface -- Background. - 1. Introduction -- 2. Laboratory Set-up of Database Semantics -- 3. Outline of DBS -- 4. Software Mechanisms of the Content Kinds -- 5. Comparison of Coordination and Gapping -- 6. Are Iterating Slot-Filler Structures Universal? - 7. Computational Pragmatics -- 8. Discontinuous Structures in DBS and PSG -- 9. Classical Syllogisms as Computational Inferences -- 10. Grounding of Concepts in Science -- 11. Function Words -- 12. Language vs. Nonlanguage Cognition -- 13. Grammatical Disambiguation -- 14. Database Semantics vs. Predicate Calculus -- 15. Agent-Based Memory as an On-Board Database -- 16. David Hume’s ‘Causation’ in Database Semantics -- 17. Concepts in Computational Cognition -- 18. Paraphrase and Ambiguity -- 19. Recursion and Grammatical Disambiguation -- Name Index - Bibliography The book gives a comprehensive discussion of Database Semantics (DBS) as an agent-based data-driven theory of how natural language communication essentially works. In language communication, agents switch between speak mode, driven by cognition-internal content (input) resulting in cognition-external raw data (e.g. sound waves or pixels, which have no meaning or grammatical properties but can be measured by natural science), and hear mode, driven by the raw data produced by the speaker resulting in cognition-internal content. The motivation is to compare two approaches for an ontology of communication: agent-based data-driven vs. sign-based substitution-driven. Agent-based means: design of a cognitive agent with (i) an interface component for converting raw data into cognitive content (recognition) and converting cognitive content into raw data (action), (ii) an on-board, content-addressable memory (database) for the storage and content retrieval, (iii) separate treatments of the speak and the hear mode. Data-driven means: (a) mapping a cognitive content as input to the speak-mode into a language-dependent surface as output, (b) mapping a surface as input to the hear-mode into a cognitive content as output. Oppositely, sign-based means: no distinction between speak and hear mode, whereas substitution-driven means: using a single start symbol as input for generating infinitely many outputs, based on substitutions by rewrite rules. Collecting recent research of the author, this beautiful, novel and original exposition begins with an introduction to DBS, makes a linguistic detour on subject/predicate gapping and slot-filler repetition, and moves on to discuss computational pragmatics, inference and cognition, grammatical disambiguation and other related topics. The book is mostly addressed to experts working in the field of computational linguistics, as well as to enthusiasts interested in the history and early development of this subject, starting with the pre-computational foundations of theoretical computer science and symbolic logic in the 30s HTTP:URL=https://doi.org/10.1007/978-3-031-22739-4
件　名	LCSH:Natural language processing (Computer science) LCSH:Artificial intelligence LCSH:Expert systems (Computer science) LCSH:Machine learning LCSH:Computational linguistics FREE:Natural Language Processing (NLP) FREE:Artificial Intelligence FREE:Symbolic AI FREE:Knowledge Based Systems FREE:Machine Learning FREE:Computational Linguistics
分　類	LCC:QA76.9.N38 DC23:006.35
書誌ID	EB00001291
ISBN	9783031227394