找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

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

[复制链接]
查看: 14297|回复: 46
发表于 2025-3-21 18:57:44 | 显示全部楼层 |阅读模式
书目名称Computational Cognitive Modeling and Linguistic Theory
编辑Adrian Brasoveanu,Jakub Dotlačil
视频video
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
丛书名称Language, Cognition, and Mind
图书封面Titlebook: Computational Cognitive Modeling and Linguistic Theory;  Adrian Brasoveanu,Jakub Dotlačil 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
关键词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

书目名称Computational Cognitive Modeling and Linguistic Theory影响因子(影响力)




书目名称Computational Cognitive Modeling and Linguistic Theory影响因子(影响力)学科排名




书目名称Computational Cognitive Modeling and Linguistic Theory网络公开度




书目名称Computational Cognitive Modeling and Linguistic Theory网络公开度学科排名




书目名称Computational Cognitive Modeling and Linguistic Theory被引频次




书目名称Computational Cognitive Modeling and Linguistic Theory被引频次学科排名




书目名称Computational Cognitive Modeling and Linguistic Theory年度引用




书目名称Computational Cognitive Modeling and Linguistic Theory年度引用学科排名




书目名称Computational Cognitive Modeling and Linguistic Theory读者反馈




书目名称Computational Cognitive Modeling and Linguistic Theory读者反馈学科排名




单选投票, 共有 1 人参与投票
 

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

您所在的用户组没有投票权限
发表于 2025-3-21 21:57:27 | 显示全部楼层
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
发表于 2025-3-22 01:01:36 | 显示全部楼层
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
发表于 2025-3-22 07:27:51 | 显示全部楼层
发表于 2025-3-22 11:15:17 | 显示全部楼层
发表于 2025-3-22 15:06:05 | 显示全部楼层
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.
发表于 2025-3-22 18:17:51 | 显示全部楼层
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.
发表于 2025-3-23 00:13:45 | 显示全部楼层
发表于 2025-3-23 03:30:23 | 显示全部楼层
发表于 2025-3-23 07:26:09 | 显示全部楼层
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
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-7-6 02:46
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表