• Journal of the Korean Operations Research and Management Science Society
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• v.23 no.4
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• pp.203-212
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• 1998

본 논문에서는 FCM을 이용하여 의사결정의 질을 높일 수 있는 추론방법을 제시한다. 이를 위하여 FCM의 추론의 질을 저하시키는 문제중의 하나인 동기화 문제(synchronizatinon Problem)를 설명하고. 이를 해결하기 위한 방안으로서 FCM 계층화(levelization) 알고리즘을 제시한다. 본 논문에서 제안된 계층화된 FCM을 이용한 추론절차를 제시하고, 그 활용예를 설명한다.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10b
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• pp.636-641
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• 1992

In the human cognitive activity, experiencing plays a basic role. This is modeled by the idea of experience sequence here, which has been proposed by the author for the incorporation of the factor of experiencing in man-machine communication. Experience sequence is for modeling the human concept formation through experiencing. Knowledge manipulation requires concept understanding as its basis. An experience sequence deals with such a process of concept formation.

• Journal of the Korea Society for Simulation
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• v.7 no.1
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• pp.53-68
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• 1998

FCM은 비구조적인 (unstructured) 문제영역에서 주어진 문제에 대한 효과적인 추론시 적용될 수 있는 매우 유용한 추론도구이다. 그러나, FCM에 사이클이 존재하면 추론효과가 크게 감소한다. 본 노문에서는 사이클이 있는 FCM을 이용한 의사결정의 질을 높일 수 있는 추론방법을 제시한다. 아울러 사이클이 제거된 FCM의 추론이 질을 저하시키는 문제중의 하나인 동기화 문제 (synchronization problem)를 설명하고, 이를 해결하기 위한 방안으로서 FCM 계층화 (levelization) 알고리즘을 제시한다.

• Korean Institute of Interior Design Journal
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• v.15 no.4 s.57
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• pp.138-146
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• 2006

Main elements in definition of space value were physical, formal, and reasonable characteristics in the past. Howener recently, definition of space value is changing by being advanced about study concerned with human's cognition and thinking way in definition and analysis of space. As you see, cognitive psychologists have emphasized the importance of human's cognitive structure and process and studied diverse aspects of human's thinking ; consciousness, perception, memory, image, language, decision-making, inference, and so on. Therefore main elements in definition of space value are five-dimensional, psychological, symbolic, mental, emotional characteristics above physical, formal, and reasonable characteristics. As mentioned above, the conversion of thinking focused on reason to thinking focused on human's spirit and emotion is achieved in contemporary architecture and 'human's experience' in space becomes a very important factor. For that reason, the purpose of this study is consideration of human's cognitive process in space by conversion of thinking and gives a definition about experience. And, I would like to define 'experience design' whose main attribute is experience in space and establish theoretical basis of experience design through theoretical researches about experience. This study on experience design that induces users to participate in space and stimulate human's spirit is a important point in definition of space value not only contemporary interior architecture but also prospective generation.

• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1051-1060
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• 2018

This study aims to propose instituting the serious games of language-based cognitive enhancement for the BIF children. The program consists of 4 cognitive areas (perception, attention, working memory, knowledge inference) in 4 language dimensions (phoneme, word, sentence, discourse). 16 games of 4 areas/2 dimensions with 3 difficulty levels were implemented in a mobile station and pilot-tested to children including BIFs. The results from the pilot tests supported for the validity and effectiveness of our games: Children's game performance correlated with their IQ scores (overall and sub-areas) revealing significant differences between the groups. The stroop scores in pre-and-post training hinted the increase of children's cognitive control.

• Korean Journal of Cognitive Science
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• v.20 no.4
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• pp.439-479
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• 2009

This paper examines the aspects of the inferences between the dimensional terms in Korean, and attempts to give an account of the inference patterns based on the interaction of gestalt and position properties of spatial objects. Following Lang (1987) and Lang, Carstensen & Simmons (1991), we advance the idea that the inferences are possible for the same axis of a spatial object, if some contextually induced positional specifications are reversed to the inherent proportion schema. Two simple inference rules are proposed and justified. They are applied under the assumption that the inferences of the dimensional terms are drawn in a unidirectional way, i.e, from the Primary Perceptional Space to the Inherent Proportional Schema.

• Convergence Security Journal
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• v.21 no.2
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• pp.67-79
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• 2021

Lessons Learned(LL) is a military term defined as all activities that promote future development by finding problems and need improvement in education and reality in the field of warfare development. In this paper, we focus on presenting actual examples and applying AI analysis inference techniques to solve revealed problems in promoting LL activities, such as long-term analysis, budget problems, and necessary expertise. AI legal advice services using cognitive computing-related technologies that have already been practical and in use, were judged to be the best examples to solve the problems of LL. This paper presents intelligent LL inference techniques, which utilize AI. To this end, we want to explore theoretical backgrounds such as LL analysis definitions and examples, evolution of AI into Machine Learning, cognitive computing, and apply it to new technologies in the defense sector using the newly proposed L²-OODA ensemble algorithm to contribute to implementing existing power improvement and optimization.

• Journal of The Korean Association of Information Education
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• v.23 no.5
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• pp.499-511
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• 2019

The preceding study of this study developed puzzle-based computer science education programs to enhance the computational thinking of elementary school students over 1 to 3 times. The preceding study then applied such programs into the field, categorized the effects of education into CT creativity and CT cognitive ability to improve the education programs. Based on the results of these preceding studies, the hierarchical Bayesian inference modeling was performed using age and CT thinking ability as parameters. From the results, this study predicted the effectiveness of puzzle-based computer science education programs in middle and high schools and proposed major improvement areas and directions for puzzle-based computer science education programs that are to be deployed in the future throughout middle and high schools.

• Proceedings of the Korean Society for Cognitive Science Conference
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• 2010.05a
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• pp.37-41
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• 2010

The previous investigations of electroencephalogram (EEG) activity in the memory retrieval tasks demonstrated that event-related potentials (ERP) during recollection showed different durations and the peak levels from those without recollection. However, it has been unknown that recollection in memory retrieval also modulates high-frequency brain rhythms as well as establishes large-scale synchronization across different cortical areas. In this study, we examined the spectral components of the EEG signals, especially the gamma bands (20-80Hz), measured during the memory retrieval tasks. Specifically, we focused on two major spectral components: first, we evaluated the temporal patterns of the power spectral density before and after the onset of the memory retrieval task; second, we estimated phase synchrony between all possible pairs of EEG channels to evaluate large-scale synchronization. Fourteen healthy subjects performed the memory retrieval task in the virtual reality environment where they selected whether or not t he present item was seen in the previous training period. When the subjects viewed the unseen items, the middle gamma power (40-60Hz) appeared to increase 200-500ms after stimulus onset while the low gamma power (20Hz) was suppressed all the way through the post-stimulus period 150ms after onset. The degree of phase synchronization in this low gamma level, however, increased when the subjects fetched the item from memory. This suggests that phase synchrony analysis might reveal different aspects of the memory retrieval process than the gamma power, providing additional information to the inference on the brain dynamics during memory retrieval.

• Korean Journal of Cognitive Science
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• v.17 no.4
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• pp.303-321
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• 2006

According to Harris'(1966) distributional hypothesis, understanding the meaning of a word is thought to be dependent on its context. Under this hypothesis about human language ability, this paper proposes a computational model for native speaker's language processing mechanism concerning word sense disambiguation, based on two sets of experiments. Among the three computational models discussed in this paper, namely, the logic model, the probabilistic model, and the probabilistic inference model, the experiment shows that the logic model is first applied fer semantic disambiguation of the key word. Nexr, if the logic model fails to apply, then the probabilistic model becomes most relevant. The three models were also compared with the test results in terms of Pearson correlation coefficient value. It turns out that the logic model best explains the human decision behaviour on the ambiguous words, and the probabilistic inference model tomes next. The experiment consists of two pans; one involves 30 sentences extracted from 1 million graphic-word corpus, and the result shows the agreement rate anong native speakers is at 98% in terms of word sense disambiguation. The other pm of the experiment, which was designed to exclude the logic model effect, is composed of 50 cleft sentences.