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Computational cognition
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Computational cognition/ by Roland Hausser.
作者:
Hausser, Roland.
出版者:
Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:
xviii, 235 p. :ill., digital ; : 24 cm.;
Contained By:
Springer Nature eBook
標題:
Computational Linguistics. -
電子資源:
https://doi.org/10.1007/978-3-031-37499-9
ISBN:
9783031374999
Computational cognition
Hausser, Roland.
Computational cognition
[electronic resource] /by Roland Hausser. - Cham :Springer Nature Switzerland :2023. - xviii, 235 p. :ill., digital ;24 cm.
Preface -- Part I. Semantics -- 1. Ontology -- 2. Algorithm -- 3. Content Resonating in Memory -- 4. Logical Reasoning -- 5. Common Sense Reasoning -- Part II. Pragmatics -- 6. STAR-0 Content: Origin -- 7. STAR-1 Content: Speaker's Perspective -- 8. STAR-2 Content: Hearer's Perspective -- 9. Pragmatics of Figurative Use -- 10. Nonstandard Variants of Pragmatics -- Part III. Data-Driven Behavior Control -- 11. Interface Component -- 12. Memory Component -- 13. Operation Component -- 14. Degrees of Abstraction -- 15. Conclusion: the Fundamental Alternatives -- Bibliography -- Name Index -- Subject Index.
Modern science is divided into three parts: natural sciences, engineering sciences and humanities. Over the last millennia, natural and engineering sciences evolved a symbiotic relationship, but humanities still stand apart. Today, however, designing and building a talking robot is a comparatively new challenge for which all three branches are needed. Starting from the idea that designing a theory of computational cognition should be as complete as possible, and trying to answer questions such as "Which ontology is required for building a computational cognition?", the current book integrates interfaces, components, functional flows, data structure, database schema, and algorithms into a coherent system with an extensive range of cognitive functions, and constitutes the background to the book "Ontology of Communication" recently published by the author (Springer, 2023) Part I discusses ontological distinctions between a sign-based and an agent-based approach, and continues with explanations of the data structure, the content-addressable database schema; the time-linear derivations of the speak and the hear mode; resonating content; induction, deduction, and abduction in inferencing, and concludes with a reconstruction of eight classical syllogisms as a test suite for DBS inferencing in the think mode. Part II complements the literal use of language in the speak and hear mode with a reconstruction of syntactic mood adaptations and figurative use. The database schema of DBS is shown to lend itself not only to the tasks of traditional storage and retrieval, but also of reference, coreference, shadowing, coactivation of resonating content, and selective activation. Part III complements the treatment of individual topics in linguistics, philosophy, and cognitive psychology with an overall software structure in the form of three interacting main components, called the interface, the memory, and the production component.
ISBN: 9783031374999
Standard No.: 10.1007/978-3-031-37499-9doiSubjects--Topical Terms:
670080
Computational Linguistics.
LC Class. No.: Q342 / .H38 2023
Dewey Class. No.: 006.3
Computational cognition
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Preface -- Part I. Semantics -- 1. Ontology -- 2. Algorithm -- 3. Content Resonating in Memory -- 4. Logical Reasoning -- 5. Common Sense Reasoning -- Part II. Pragmatics -- 6. STAR-0 Content: Origin -- 7. STAR-1 Content: Speaker's Perspective -- 8. STAR-2 Content: Hearer's Perspective -- 9. Pragmatics of Figurative Use -- 10. Nonstandard Variants of Pragmatics -- Part III. Data-Driven Behavior Control -- 11. Interface Component -- 12. Memory Component -- 13. Operation Component -- 14. Degrees of Abstraction -- 15. Conclusion: the Fundamental Alternatives -- Bibliography -- Name Index -- Subject Index.
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Modern science is divided into three parts: natural sciences, engineering sciences and humanities. Over the last millennia, natural and engineering sciences evolved a symbiotic relationship, but humanities still stand apart. Today, however, designing and building a talking robot is a comparatively new challenge for which all three branches are needed. Starting from the idea that designing a theory of computational cognition should be as complete as possible, and trying to answer questions such as "Which ontology is required for building a computational cognition?", the current book integrates interfaces, components, functional flows, data structure, database schema, and algorithms into a coherent system with an extensive range of cognitive functions, and constitutes the background to the book "Ontology of Communication" recently published by the author (Springer, 2023) Part I discusses ontological distinctions between a sign-based and an agent-based approach, and continues with explanations of the data structure, the content-addressable database schema; the time-linear derivations of the speak and the hear mode; resonating content; induction, deduction, and abduction in inferencing, and concludes with a reconstruction of eight classical syllogisms as a test suite for DBS inferencing in the think mode. Part II complements the literal use of language in the speak and hear mode with a reconstruction of syntactic mood adaptations and figurative use. The database schema of DBS is shown to lend itself not only to the tasks of traditional storage and retrieval, but also of reference, coreference, shadowing, coactivation of resonating content, and selective activation. Part III complements the treatment of individual topics in linguistics, philosophy, and cognitive psychology with an overall software structure in the form of three interacting main components, called the interface, the memory, and the production component.
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