• Management & Information Systems Review
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• v.30 no.3
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• pp.107-132
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• 2011

The purposes of this paper are to examine the effect of emotional intelligence and logic intelligence on organizational citizenship behavior and to examine the moderating effect of intelligence labor on these relationship. For these purposes, literature review and survey research were conducted. The 420 questionnaires were sent to the 12 manufactural firms in the Busan and Kyungsang Nam-Do region for empirical analysis. Total 363 usable responses were collected(effective response rate : 86.40%). The major findings of the empirical research are as follows ; First, emotional intelligence and logic intelligence have positive influence organizational citizenship behavior. but emotional intelligence have more positive influence than logic intelligence on organizational citizenship behavior. Second, emotional intelligence has differential influence on organizational citizenship behavior by emotional labor, but logic intelligence hasn't that. In conclusion, emotional intelligence is expected to improve organizational citizenship behavior which is extra-role behavior in an organization. Therefore, managers have to develop organizational citizenship behavior by exhibiting emotional intelligence, considering emotional labor.

• Journal for History of Mathematics
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• v.32 no.5
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• pp.217-231
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• 2019

Mathematics and philosophy are considered as ways to get knowledges and cognitions of truths. They are human thoughts and epistemes. Thinking is in fact carried out in a systematic way, which consists of sort of syntax and semantics of thinking, called logic. We observe the logic from mathematical and philosophical perspectives with layman's language. We conclude that mathematics, philosophy and logic are the abilities necessary for the human beings of the 21st century, the age of artificial intelligence.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.13-26
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• 2023

Recently, the development of wireless network technologies has been advancing in several directions: increasing data transmission speed, enhancing user mobility, expanding the range of services offered, improving the utilization of the radio frequency spectrum, and enhancing the intelligence of network and subscriber equipment. In this research, a series of contradictions has emerged in the field of wireless network technologies, with the most acute being the contradiction between the growing demand for wireless communication services (on operational frequencies) and natural limitations of frequency resources, in addition to the contradiction between the expansions of the spectrum of services offered by wireless networks, increased quality requirements, and the use of traditional (outdated) management technologies. One effective method for resolving these contradictions is the application of artificial intelligence elements in wireless telecommunication systems. Thus, the development of technologies for building intelligent (cognitive) radio and cognitive wireless networks is a technological imperative of our time. The functions of artificial intelligence in prospective wireless systems and networks can be implemented in various ways. One of the modern approaches to implementing artificial intelligence functions in cognitive wireless network systems is the application of fuzzy logic and fuzzy processors. In this regard, the work focused on exploring the application of fuzzy logic in prospective cognitive wireless systems is considered relevant.

• Lingua Humanitatis
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• v.1 no.1
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• pp.13-31
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• 2001

This essay seeks new possibilities in experimental thinking and to find ways in which philosophy can aid humanistic imagination. In emphasizing logical precision, philosophy has so far ignored the role of imagination in philosophical logic and limited itself to deductive logic. Despite the obvious fact that no degree of logical precision can fully account for, nor provide complete expression for, the vast range of human thought, other modes of thinking have suffered in the shadow of deductive logic. But these non-deductive models of thinking can in many cases better explain the emotive, aesthetic logic of the humanities. The kinds of models (deductive and non-deductive) in humanistic thinking include dialectic, abductive, analogic, pragmatic, inductive, and deductive logic. Each mode of logical thinking may be assigned a color that represents its emotive characteristics: red for dialectics (opposition): blue for abduction (transcendence); yellow for analogy (flexibility); green for pragmatics (peace); violet/purple for induction (fantasy); and finally orange for deduction (trust). And each mode can also be keyed to major areas in humanistic thought, making up the following connections: dialectic-red-history; abduction-blue-literature; analogy-yellow-philosophy ; pragmatics-green-religion ; induction-violet/purple-arts; and deduction-orange-science. These connections serve to illustrate the interrelationship between emotion and intelligence, leading us toward considerations of emotional intelligence and intelligent emotion. The former is increasingly gaining attention, as the effect of 'mood space' on intelligence is being scrutinized. That the rate of suicide among mathematicians is very high points to the need for careful study of the reverse relationship between emotion and intelligence, intelligent emotion. The need for the latter is all the more pressing, as the emergence of new technology is allowing, even forcing, us more and more to experience the world intellectually (i.e., sans emotive experience) through a new virtual space called cyberspace.

• Journal of Information Management
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• v.24 no.4
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• pp.43-57
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• 1993

This paper discusses the basic concept of artificial intelligence(AI) and expert system and a particular technique(fuzzy logic) applied to expert systems. It examines expert system as search intermediaries during the past few years, particularly in terms of the following functions: 1) handling certain classes of questions on a particular database, 2) assisting in decision making for selecting databases or search terms, and 3) offering advice while keeping the end-user in the control of the searching process. The limitations and difficulties involved in developing such expert systems are also presented.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.517-520
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• 2003

A quasi-optimization algorithm for generating a chain restaurant work scheduling (WS) is proposed based on Genetic Algorithm with fuzzy logic, where the whole weekly chain restaurant WS problem is decomposed to 7 daily WS problems and a combined weekly WS problem. Experimental result shows that a weekly schedule for 15 workers and 24 hours in a chain restaurant is produced in 6 minutes using the proposed algorithm implemented with C++ and executed on a PC(Athlon XP 1900+), where the quality of WS is satisfactorily evaluated by professional experts.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.3
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• pp.257-263
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• 2022

The objective of this study was to see how artificial intelligence applications affected organizational innovation in Jordanian commercial banks. Both independent and dependent variables were measured in three dimensions: expert systems, neural network systems, and fuzzy logic systems for artificial intelligence applications variable. Product innovation, process innovation, and management innovation for the organizational innovation variable. To achieve study objectives, a questionnaire was developed and distributed to a sample of one hundred fifty-three managers in Jordanian commercial banks, who were selected according to the simple random sampling method. Except for the neural network systems dimension, which comes in at an average level, the study indicated that there is a high level of organizational innovation and artificial intelligence applications. Furthermore, the findings revealed that artificial intelligence applications have a significant impact on organizational innovation in Jordanian commercial banks, with the most important artificial intelligence application being a fuzzy logic system. The study suggested keeping track of technological advancements in the field of artificial intelligence applications and incorporating them into banking operations by benchmarking with the best commercial bank practices and allocating a portion of the budget to technological applications and infrastructure development, as well as balancing between technology use and information security risks to ensure client privacy is protected.

• Journal of the International Relations & Interdisciplinary Education
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• v.1 no.1
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• pp.61-79
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• 2021

In order to implement an artificial intelligence lawyer, this study looked at how to structure legal principles, and then gave specific examples of how structured legal principles can be expressed in predicate logic. While previous studies suggested a method of introducing predicate logic for the reasoning engine of artificial intelligence lawyers, this study focused on the method of expressing legal principles with predicate logic based on the structural appearance of legal principles. Jurisprudence was limited to the content of articles and precedents, and the vertical hierarchy leading to 'law facts - legal requirements - legal effect' and the horizontal hierarchy leading to 'legal effect - defense - defense' were examined. In addition, legal facts were classified and explained that most of the legal facts can be usually expressed in unary or binary predicates. In future research, we plan to program the legal principle expressed in predicate logic and realize an inference engine for artificial intelligence lawyers.

• Korean Journal of Child Studies
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• v.25 no.4
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• pp.115-128
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• 2004

In this study, we examined the relationship among Multiple Intelligence constructs and the relationship among the sub-areas and analysed the development of the Multiple Intelligence according to age and gender to evaluate Korean children's Multiple Intelligence structures that teachers evaluated based on MIDAS-MYC. The subjects of the study consisted of 158 4-5 year old children (71 4-year-old group(boy 38, girl 33); 87 5-year-old group(boy 40, girl 47)) in Seoul and Gyeonggi. We found several results which are as follows. 1) Reliability on each area of intelligence in MIDAS-MYC was good. 2) The result of confirmatory factor analysis using the model of structural equation modeling was consistent with the results of other studies that children's Multiple Intelligence consists of eight intelligent areas that are independent to each other but are relative to each other. In particular, interpersonal-intrapersonal intelligence, languistic-intrapersonal intelligence, languistic-Interpersonal intelligence, and languistic-logic/math intelligence were high correlation. However, physical/motion-naturalist intelligence and musical-logic/math intelligence were low correlation. 3) Children's multiple intelligence differed according to age and sex, the 5-year-old was higher than 4-year-old and girls were higher than boys in a general way. 4) There was high correlation between the result of evaluation based on MIDAS-MYC and the result of teacher's subjective evaluation about children's Multiple Intelligence.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2007.06a
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• pp.779-780
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• 2007