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020 _a9783031227394
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024 7 _a10.1007/978-3-031-22739-4
_2doi
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_2bicssc
072 7 _aCOM073000
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082 0 4 _a006.35
_223
100 1 _aHausser, Roland.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aOntology of Communication
_h[electronic resource] :
_bAgent-Based Data-Driven or Sign-Based Substitution-Driven? /
_cby Roland Hausser.
250 _a1st ed. 2023.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2023.
300 _aXVI, 258 p. 1 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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505 0 _aPreface -- 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.
520 _aThe 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 thefield 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.
650 0 _aNatural language processing (Computer science).
650 0 _aArtificial intelligence.
650 0 _aExpert systems (Computer science).
650 0 _aMachine learning.
650 0 _aComputational linguistics.
650 1 4 _aNatural Language Processing (NLP).
650 2 4 _aArtificial Intelligence.
650 2 4 _aSymbolic AI.
650 2 4 _aKnowledge Based Systems.
650 2 4 _aMachine Learning.
650 2 4 _aComputational Linguistics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031227387
776 0 8 _iPrinted edition:
_z9783031227400
776 0 8 _iPrinted edition:
_z9783031227417
856 4 0 _uhttps://doi.org/10.1007/978-3-031-22739-4
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
942 _cSPRINGER
999 _c176234
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