找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Computational Cognitive Modeling and Linguistic Theory; Adrian Brasoveanu,Jakub Dotla?il Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) a

[復制鏈接]
查看: 14516|回復: 46
樓主
發(fā)表于 2025-3-21 18:57:44 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Computational Cognitive Modeling and Linguistic Theory
編輯Adrian Brasoveanu,Jakub Dotla?il
視頻videohttp://file.papertrans.cn/233/232171/232171.mp4
概述Presents an introduction to ACT-R for linguists and semanticists, with a focus on semantic phenomena in natural language.Provides a novel incremental dynamic semantic system and detailed theory of sem
叢書名稱Language, Cognition, and Mind
圖書封面Titlebook: Computational Cognitive Modeling and Linguistic Theory;  Adrian Brasoveanu,Jakub Dotla?il Book‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) a
描述.This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science..The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson’s ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even
出版日期Book‘‘‘‘‘‘‘‘ 2020
關鍵詞Open Access; ACT-R Based Left-corner Parser; Incremental Dynamic Predicate Logic; Cataphoric Presupposi
版次1
doihttps://doi.org/10.1007/978-3-030-31846-8
isbn_ebook978-3-030-31846-8Series ISSN 2364-4109 Series E-ISSN 2364-4117
issn_series 2364-4109
copyrightThe Editor(s) (if applicable) and The Author(s) 2020
The information of publication is updating

書目名稱Computational Cognitive Modeling and Linguistic Theory影響因子(影響力)




書目名稱Computational Cognitive Modeling and Linguistic Theory影響因子(影響力)學科排名




書目名稱Computational Cognitive Modeling and Linguistic Theory網(wǎng)絡公開度




書目名稱Computational Cognitive Modeling and Linguistic Theory網(wǎng)絡公開度學科排名




書目名稱Computational Cognitive Modeling and Linguistic Theory被引頻次




書目名稱Computational Cognitive Modeling and Linguistic Theory被引頻次學科排名




書目名稱Computational Cognitive Modeling and Linguistic Theory年度引用




書目名稱Computational Cognitive Modeling and Linguistic Theory年度引用學科排名




書目名稱Computational Cognitive Modeling and Linguistic Theory讀者反饋




書目名稱Computational Cognitive Modeling and Linguistic Theory讀者反饋學科排名




單選投票, 共有 1 人參與投票
 

1票 100.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 21:57:27 | 只看該作者
Modeling Linguistic Performance, this chapter, we introduce the ‘subsymbolic’ declarative memory components of ACT-R. These are essential to modeling performance, i.e., actual human behavior in experimental tasks. We then build end-to-end models for a variety of psycholinguistic tasks—list recall, lexical decision, (self-paced) re
板凳
發(fā)表于 2025-3-22 01:01:36 | 只看該作者
Competence-Performance Models for Lexical Access and Syntactic Parsing, with respect to the way they simulate interactions with the environment, but they are too simplistic in their assumptions about memory, since memory retrievals are not dependent on any parameters of the retrieved word. In this chapter, we will improve on both models by incorporating the ACT-R model
地板
發(fā)表于 2025-3-22 07:27:51 | 只看該作者
5#
發(fā)表于 2025-3-22 11:15:17 | 只看該作者
6#
發(fā)表于 2025-3-22 15:06:05 | 只看該作者
Kenzo Fushitani,Austen F. Riggsretrievals are not dependent on any parameters of the retrieved word. In this chapter, we will improve on both models by incorporating the ACT-R model of declarative memory we just introduced in the previous chapter.
7#
發(fā)表于 2025-3-22 18:17:51 | 只看該作者
Competence-Performance Models for Lexical Access and Syntactic Parsing,retrievals are not dependent on any parameters of the retrieved word. In this chapter, we will improve on both models by incorporating the ACT-R model of declarative memory we just introduced in the previous chapter.
8#
發(fā)表于 2025-3-23 00:13:45 | 只看該作者
9#
發(fā)表于 2025-3-23 03:30:23 | 只看該作者
10#
發(fā)表于 2025-3-23 07:26:09 | 只看該作者
Book‘‘‘‘‘‘‘‘ 2020ified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-25 10:27
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
亚东县| 青冈县| 定远县| 梓潼县| 无为县| 尚志市| 孝义市| 思茅市| 靖边县| 建始县| 海原县| 鲁山县| 柳林县| 南靖县| 巴中市| 澄城县| 曲沃县| 清流县| 柳林县| 措美县| 大洼县| 香港 | 阜宁县| 灵丘县| 徐水县| 惠安县| 南平市| 米泉市| 道孚县| 伊川县| 托里县| 蓝田县| 闻喜县| 勐海县| 大冶市| 芷江| 威信县| 霍山县| 慈利县| 凌源市| 瑞丽市|