The Geometry of Meaning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


The Geometry of Meaning

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Peter Gärdenfors 作者
The MIT Press
譯者
2014-1-17 出版日期
360 頁數
USD 35.00 價格
Hardcover
叢書系列
9780262026789 圖書編碼

The Geometry of Meaning 在線電子書 圖書標籤: 語言學  語義學  認知科學  哲學  Semantics   


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發表於2024-11-07

The Geometry of Meaning 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

The Geometry of Meaning 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

The Geometry of Meaning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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The Geometry of Meaning 在線電子書 著者簡介


The Geometry of Meaning 在線電子書 著者簡介


The Geometry of Meaning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

The Geometry of Meaning 在線電子書 圖書描述

In The Geometry of Meaning, Peter Gärdenfors proposes a theory of semantics that bridges cognitive science and linguistics and shows how theories of cognitive processes, in particular concept formation, can be exploited in a general semantic model. He argues that our minds organize the information involved in communicative acts in a format that can be modeled in geometric or topological terms -- in what he terms conceptual spaces, extending the theory he presented in an earlier book by that name. Many semantic theories consider the meanings of words as relatively stable and independent of the communicative context. Gärdenfors focuses instead on how various forms of communication establish a system of meanings that becomes shared between interlocutors. He argues that these "meetings of mind" depend on the underlying geometric structures, and that these structures facilitate language learning. Turning to lexical semantics, Gärdenfors argues that a unified theory of word meaning can be developed by using conceptual spaces. He shows that the meaning of different word classes can be given a cognitive grounding, and offers semantic analyses of nouns, adjectives, verbs, and prepositions. He also presents models of how the meanings of words are composed to form new meanings and of the basic semantic role of sentences. Finally, he considers the future implications of his theory for robot semantics and the Semantic Web.

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