• Korean Journal of Logic
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• v.15 no.3
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• pp.323-347
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• 2012

After Byeongdeok Lee(2008) argued against the so-called uncontested principle (UP), Song(2008) and Choi(2011) gave arguments against Lee(2008) and instead for UP. One important point to mention in their arguments is that they all accept that UP is justifiable in deduction. First, I show that there are some problems in their arguments. Next, I show that UP itself is not justifiable in deduction; it is only justifiable under some (restrictive) conditions.

• Industry Promotion Research
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• v.2 no.1
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• pp.39-44
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• 2017

The purpose of this study is to analyze the effect of the Naeil Chaeum deduction system on job satisfaction. The results of the study are summarized as follows. A total of 159 small to medium-sized enterprise workers participated in the deduction for Naeil Chaeum. The data were analyzed using SPSS Statistics 20, which included frequency analysis, factor analysis, reliability analysis, correlation analysis, regression analysis, and post analysis. First, the suitability of the method of the Naeil Chaeum deduction system has the highest positive effect on the job satisfaction. Second, the correlation of job satisfaction after filling in Naeil Chaeum deductions showed that fitness (p <.01, ${\beta}=.307$) and efficiency (p <.01, ${\beta}=.296$) had a significant effect on job satisfaction. Third, the analysis of the difference of job satisfaction according to the academic ability of the workers who were enrolled in Naeil Chaeum deduction system was analyzed that professional college graduates (2.08) were higher than job college graduates (1.99).The purpose of this study is to analyze the impact of the Fill - Down System on the job satisfaction by analyzing the importance of quality of life, job satisfaction, and muscle strength, analyzing the difference according to the demographic characteristics of the workers, And helping to stabilize the work life, and to verify the effectiveness of the study.

• Journal for History of Mathematics
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• v.35 no.2
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• pp.43-56
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• 2022

The 21st century world has experienced all-around changes from the 4th industrial revolution. In this developmental changes, artificial intelligence is at the heart, with data science adopting certain scientific methods and tools on data. It is necessary to investigate on the logic lying underneath the methods and tools. We look at the origins of logic, deduction and induction, and scientific methods, together with mathematical induction, probabilistic method and data science, and their meaning.

• Journal of The Korean Association For Science Education
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• v.33 no.1
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• pp.181-192
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• 2013

This study aims to explore scientific reasoning that students and their teachers constructed in elementary science classroom discourses in terms of basic reasoning types; deduction, induction, and abduction. For this research, data were collected from 13 classes of 4th grade science activities during a period of three months and analyzed three types of scientific reasoning in elementary school science discourses. We found that deduction (one discourse segment), induction (one discourse segment), and deduction-abduction (two discourse segments) were presented in the discourses. They showed that: first, scientific reasoning proceeded explicitly or implicitly in elementary science discourses; second, the students and their teachers have potentials to increase the quality of reasoning depending on their inter-subjectivity; and last, the students' background knowledge were very important in the development of their reasoning. Implication and remarks on science education and research were presented based on this results as well.

• Korean Journal of Logic
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• v.21 no.1
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• pp.59-96
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• 2018

${\bot}$It is often said that in a purely formal perspective, intuitionistic logic has no obvious advantage to deal with the liar-type paradoxes. In this paper, we will argue that the standard intuitionistic natural deduction systems are vulnerable to the liar-type paradoxes in the sense that the acceptance of the liar-type sentences results in inference to absurdity (${\perp}$). The result shows that the restriction of the Double Negation Elimination (DNE) fails to block the inference to ${\perp}$. It is, however, not the problem of the intuitionistic approaches to the liar-type paradoxes but the lack of expressive power of the standard intuitionistic natural deduction system. We introduce a meta-level negation, ⊬$_s$, for a given system S and a meta-level absurdity, ⋏, to the intuitionistic system. We shall show that in the system, the inference to ${\perp}$ is not given without the assumption that the system is complete. Moreover, we consider the Double Meta-Level Negation Elimination rules (DMNE) which implicitly assume the completeness of the system. Then, the restriction of DMNE can rule out the inference to ${\perp}$.

• The Journal of Industrial Distribution & Business
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• v.11 no.10
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• pp.7-16
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• 2020

Purpose: It suggests that making a policy and strategies in a way of AI and its impact of commercialization on economic efficiency, social custom ethics. Research design, data, and methodology: The paper has analyzed the data based on the proposed model when derived as AI vs. FI job, etc. It is very different for each professional evaluation, which is artificial intelligence or robot job. One concept case was selected as a substitute job, with a relatively low level of occupation ability, such as direct labors, easily replaced. By the induction data has resulted in modeling. Results: The paper suggests that AI at high level become something how to make real decisions on ethical value modeling. Through physical simulation with the deduction data, it can be tuned to design and control what has not been solved, from human senses to climate. Conclusion: For the exploiting of new AI decision-making jobs in markets, the deduction data is possible to prove to AI's Decision-making that the percentage who can easily have different leadership as is different for each person. what is generated by some information silos may be applied to occupation societies. The empirical results indicate the deduction data that if AI determines ethical decisions (VC) for that modifications, it may replace future jobs.

• Korean Journal of Cognitive Science
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• v.1 no.2
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• pp.347-360
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• 1989

Retearches on epistemology for artificial intelligence have started quite recently.Recently,Konolige made a contribution to epistemology by proposing a deduction model based on an efficieit modal logic for a proof mechanism for belief.In this thesis,a unified and generalized proof mechanism for the epistemic logic using a formal system called a View is pesented.In addition,the algorithm to adapt the theorem prover according to the given rule schema,which charncterizes the deduction model of the epistemic logic,is constructed. With this algorlthm,multiple agents having different rule schemas can co-exist in the proposed system. The soundness and completeness of the proposed proof mechanism is proved and a simple theorem prover is implemented to demonstrate the usefulness and practilcality.

• Journal of Information Technology Applications and Management
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• v.23 no.3
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• pp.13-23
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• 2016

In recent years, big data has usefully been deployed by organizations with the aim of getting a better prediction for the future. Moreover, knowledge management systems are being used by organizations to identify and create knowledge. Here, the output from analysis of big data and a knowledge management system are used to develop a new model with the goal of minimizing the cost of implementing new recognized processes including staff training, transferring and employment costs. Strategies are proposed from big data analysis and new processes are defined accordingly. The company requires various skills to execute the proposed processes. Organization's current experts and their skills are known through a pre-established knowledge management system. After a gap analysis, managers can make decisions about the expert arrangement, training programs and employment to bridge the gap and accomplish their goals. Finally, deduction graph is used to analyze the model.

• Journal of Families and Better Life
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• v.26 no.5
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• pp.177-194
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• 2008

The purpose of this article was to be offered data for the efficient management of healthy family support center as the deduction of the standard job of healthy family supporter. The process of this study take the major steps as subject selection based on career, investigation about range and contens of healthy family support work and deduction and examination job areas, duty and task. Consequently, the job areas of healthy family supporter are generalization, counseling, education, culture, administrative affairs, taking care of children and taking care of children for family living with a handicapped child. The standards of job analysis are frequency, importance and number of human power. The result and procedure of this article provides the main data and idea for the development of a tool of measurement, ajob analysis and information of the specialty and role of healthy family supporter.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.4
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• pp.388-395
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• 2009

An accelerated fatigue test is essentially required to maintain the reliability of the actual structures of KTX under operation conditions. However, actual fatigue life cannot be obtained because the conventional fatigue tests are not adequate to the real load conditions. Moreover foreign component makers have not provided data of the loading stresses (S) versus cycles at the failure (N). In this study, we suggested a deduction method of the S-N curve for establishing an accelerating test under various load levels. Load history was acquired from the field tests. A Rainflow method was used on the cycle counting of the field load data. After that, an S-N curve was obtained through the iteration process under the condition that the damage index satisfies to 1 in the Miner's rule. The deduced S-N curve was applied to the performance evaluation of Korean-made sealed knuckles compared with imports.