간행물

서울대학교 인지과학연구소> Journal of Cognitive Science

Journal of Cognitive Science update

  • : 서울대학교 인지과학연구소
  • : 사회과학분야  >  심리학
  • : KCI등재
  • : SCOPUS
  • : 연속간행물
  • : 계간
  • : 1598-2327
  • : 1976-6939
  • :

수록정보
수록범위 : 1권1호(2000)~23권1호(2022) |수록논문 수 : 317
Journal of Cognitive Science
23권1호(2022년 03월) 수록논문
최근 권호 논문
| | | |

KCI등재 SCOPUS

1Misconceptions ― Johnson-Laird and Piaget on Reasoning

저자 : M. A. Winstanley

발행기관 : 서울대학교 인지과학연구소 간행물 : Journal of Cognitive Science 23권 1호 발행 연도 : 2022 페이지 : pp. 1-32 (32 pages)

다운로드

(기관인증 필요)

초록보기

Both Johnson-Laird and Jean Piaget proposed psychological theories of reasoning. Johnson-Laird formulated a mental-model theory in opposition to rule-based theories of reasoning; however, he put Piaget's theory in the latter pigeonhole. In this paper, I argue that this is a misconception of Piaget's theory of propositional reasoning and that further misconceptions have separated Johnson-Laird's and Piaget's theory of reasoning unnecessarily. To this end, I outline and compare salient aspects of Piaget's operatory theory and Johnson-Laird's mental-model theory of propositional reasoning. I conclude that a misconception lies at the heart of the purported opposition of the mental-model and operatory theories and suggest that both theories correctly understood might even complement each other.

KCI등재 SCOPUS

2Brain Tumor Detection Using Wavelet Transform and Convolution Neural Network in Magnetic Resonance Imaging

저자 : Sahar Solaymanpour , Zahra Einalou , Hamidreza Hosseinzadeh , Mehrdad Dadgostar

발행기관 : 서울대학교 인지과학연구소 간행물 : Journal of Cognitive Science 23권 1호 발행 연도 : 2022 페이지 : pp. 33-55 (23 pages)

다운로드

(기관인증 필요)

초록보기

The brain tumor is the growth of an abnormal mass in the brain which may be malignant or benign. Misdiagnosis of different types of brain tumors reduces the patients' chances of survival. In the last years, efforts have been made to automate the present process for clinical and research reasons. For this purpose, machine learning methods were highly considered for a long time. In this paper, we presented a method for classification of brain tumors from magnetic resonance images using a convolutional neural network and two-level discrete wavelet transform algorithm. The BRATS 2013 dataset contains FLAIR, T1, T1c and T2 images of 20 patients with high-grade glioma, and ten patients with low-grade glioma were used in this investigation. This study aimed to classify the data into two classes of high-grade glioma and low-grade glioma by convolution neural network using a two-level wavelet transform algorithm on images. The Image wavelet coefficients contain more information than the original images, thus increasing the network performance. All the experiments were performed on the main dataset and two synthetic datasets with 60 and 300 data. The highest classification accuracy is obtained for T1 images in all three sets of 30, 60 and 300 data that were 86.25%, 94.58%, and 95.86%, respectively.

KCI등재 SCOPUS

3Individual Differences in the Expectation-based Comprehension of Korean Dative Sentences: An ERP Study

저자 : Hongoak Yun , Dongsu Lee , Yunju Nam

발행기관 : 서울대학교 인지과학연구소 간행물 : Journal of Cognitive Science 23권 1호 발행 연도 : 2022 페이지 : pp. 57-94 (38 pages)

다운로드

(기관인증 필요)

초록보기

Readers' active use of linguistic cues from a given context elicits anticipatory processing of yet-to-be-encountered information. In this study, we aimed to examine whether the patterns of anticipatory comprehension would systematically differ by the degree of readers' working memory capacity. Readers' evoked responses potentials (ERPs) in response to words were recorded in the processing of Korean dative sentences (i.e., subject+[recipient+theme]/[theme-recipient]+adverb+verb) in which the presentation order of arguments (i.e., role predictability) and the likelihood corresponding to argument role fillers (i.e., word predictability) were manipulated. We found quantitative and qualitative differences in ERPs among readers during sentence comprehension. The N400 emerged in the integration of unpredictable words, and it occurred more frequently among readers with low working memory. Of our interest, we observed the asymmetrical distribution of the negativity and the positivity, attributable to the differences in readers' working memory, at adverbs and verbs in which readers were busy with integrating previously-presented arguments into sentences and processing incoming words. Our results suggested that readers with low working memory are more involved in the lexical retrieval process, whereas those with high working memory are more attentive to the structural or semantic integration process. In short, we argued that the lack of working memory capacity could make readers fall behind in using lexical and structural information during sentence processing, particularly for argument integration.

KCI등재 SCOPUS

4A Realizational Approach to Light Verb Ellipsis in Korean: Non-constituent Ellipsis as Zero Vocabulary Insertion

저자 : Changguk Yim

발행기관 : 서울대학교 인지과학연구소 간행물 : Journal of Cognitive Science 23권 1호 발행 연도 : 2022 페이지 : pp. 95-121 (27 pages)

다운로드

(기관인증 필요)

초록보기

In Distributed Morphology, the operation of Vocabulary Insertion applies a phonological exponent (Vocabulary Item) to a functional terminal morpheme. In this article, I propose that even if there is a candidate Vocabulary Item for the designated terminal node, Vocabulary Insertion may not insert a Vocabulary Item, which I dud Zero Vocabulary Insertion. Specifically, based on the fact that the light verb ha- 'do' in Korean may be elided in certain contexts, I offer a realizational, morpheme-based analysis of the phenomenon of the light verb in which the ha- ellipsis is not a bona fide syntactic constituent ellipsis. Rather, it occurs post-syntactically when the operation of Vocabulary Insertion does not apply a Vocabulary Item to the relevant functional morpheme for the verb at stake. Zero Vocabulary Insertion explains the property of the non-constituent ellipsis of the light verb.

1
권호별 보기

내가 찾은 최근 검색어

최근 열람 자료

맞춤 논문

보관함

내 보관함
공유한 보관함

1:1문의

닫기