• Title, Summary, Keyword: Artificial Intelligence

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Constructive Artificial Intelligence (구성적 인공지능)

  • Park Choong Shik
    • Korean Journal of Cognitive Science
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    • v.15 no.4
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    • pp.61-66
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    • 2004
  • I think constructivism can be considered as the new count proposal for understanding human to Cartesian rationalism. Constructivism has the common area not only with recent results of evolutionary biology, evolutionary psychology. brain science, system theory, and complex adaptive system but also with recent trends of humanities, and social science. In artificial intelligence, the studies which can be considered as constructivistic methods is going on. In this paper, from a constructivistic pint of view, to broaden the concept of intelligence in artificial intelligenve, I will examine constructivistic methodologies to intelligent machine and look about the artificial intelligence techniques which are constructivistic. Throughout such a discussion I want to promote the integral understanding of various kinds of mind theories and techniques, and pave the way of general intelligence in artificial intelligence.

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Predicting Future Technology Development in the Fusional Aspect of Brain Science and Artificial Intelligence (뇌과학과 인공지능 융합 미래 기술 발전 방향 예측)

  • Yoon, C.W.;Huh, J.D.
    • Electronics and Telecommunications Trends
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    • v.33 no.1
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    • pp.1-10
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    • 2018
  • Artificial intelligence, which is based on deep learning, is emerging as a fundamental technology that will bring about future social changes. Artificial intelligence technology in IT is an essential intelligent system, and will overcome the performance limit of computing systems, and is expected to be the foundation for the development of computing environment destructively. The development of artificial intelligence technology in developed countries is a direction toward convergence with brain science. In this article, we will look at the prospect of artificial intelligence as the manifestation of imagination, as well as the technology and policy trends of artificial intelligence both at home and abroad, and discuss the direction of future technology development in terms of fusion with brain science.

Intelligent Resource Management Schemes for Systems, Services, and Applications of Cloud Computing Based on Artificial Intelligence

  • Lim, JongBeom;Lee, DaeWon;Chung, Kwang-Sik;Yu, HeonChang
    • Journal of Information Processing Systems
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    • v.15 no.5
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    • pp.1192-1200
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    • 2019
  • Recently, artificial intelligence techniques have been widely used in the computer science field, such as the Internet of Things, big data, cloud computing, and mobile computing. In particular, resource management is of utmost importance for maintaining the quality of services, service-level agreements, and the availability of the system. In this paper, we review and analyze various ways to meet the requirements of cloud resource management based on artificial intelligence. We divide cloud resource management techniques based on artificial intelligence into three categories: fog computing systems, edge-cloud systems, and intelligent cloud computing systems. The aim of the paper is to propose an intelligent resource management scheme that manages mobile resources by monitoring devices' statuses and predicting their future stability based on one of the artificial intelligence techniques. We explore how our proposed resource management scheme can be extended to various cloud-based systems.

'Artificial Intelligence' Acceptability in Online Dispute Resolution: A Comparison Study of Korean Age Groups

  • Chung, Yongkyun
    • Journal of Arbitration Studies
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    • v.30 no.3
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    • pp.95-113
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    • 2020
  • The worldwide diffusion of COVID-19 contributes to electronic commerce all over the world. The proliferation of high volume and small value electronic commerce naturally has combined artificial intelligence with online dispute resolution (ODR). This paper investigates the age effect on Artificial Intelligence acceptability in online dispute resolution and its empirical findings are as follows. First, seven measures out of the nine employed in this case study shows a coherent dynamic pattern over the age spectrum. In other words, the total samples are a heterogenous group rather than a homogeneous one. Second, medium answer occupies a non-negligible portion across answers from nine research questions. It seems to indicate that a considerable portion of Korean respondents are hesitant to make a choice on artificial intelligence at this juncture. Third, all of the respondents agree that the introduction of AI to the dispute resolution could contribute to the hastening of the dispute resolution process. Fourth, most of the respondents agree that artificial intelligence might have the cognitive ability but not the sympathetic or affective ability to handle the electronic commerce disputes.

A Study on the History, Classification and Development Direction of Artificial Intelligence (인공지능의 역사, 분류 그리고 발전 방향에 관한 연구)

  • Cho, Min-Ho
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.2
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    • pp.307-312
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    • 2021
  • Artificial Intelligence has a long history and is used in various fields including image recognition and automatic translation. Therefore, when we first encounter artificial intelligence, many terms, concepts and technologies often have difficulty in setting or implementing research direction. This study summarized important concepts related to artificial intelligence and summarized the progress of the past 60 years to help researcher suffering from these difficulties. Through this, it is possible to establish the basis for the use of vast artificial intelligence technologies and establish the right direction for research.

An Exploratory Study on Artificial Intelligence Quality, Preference and Continuous Usage Intention: A Case of Online Job Information Platform (인공지능이 적용된 온라인 구인정보 플랫폼의 품질 및 선호가 지속사용의도에 미치는 영향에 관한 탐색적 연구)

  • An, Kyung-Min;Lee, Young-Chan
    • Journal of Digital Convergence
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    • v.17 no.7
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    • pp.73-87
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    • 2019
  • The purpose of this study is to clarify the continuous usage intention of artificial intelligence products and services. In this study, we try to define the artificial intelligence quality and preference on the online job information platform and investigate the effect of artificial intelligence on continues usage intention. A survey of artificial intelligence users was conducted and recalled 184. The empirical analysis shows that the artificial intelligence quality and preference have a positive effect on satisfaction, and that the satisfaction has significant effect on the intention of continuing use. but the artificial intelligence quality does not significantly affect the intention of continuing use. These results are expected to provide useful guidelines for artificial intelligence technology products or services in the future.

Expectations and Anxieties Affecting Attitudes toward Artificial Intelligence Revolution (인공지능 혁신에 대한 기대와 불안 요인 및 영향 연구)

  • Rhee, Chang Seop;Rhee, Hyunjung
    • The Journal of the Korea Contents Association
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    • v.19 no.9
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    • pp.37-46
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    • 2019
  • Humans have anxieties as well as expectations for artificial intelligence. This study attempted to identify the expectation and anxiety factors affecting the attitude toward artificial intelligence innovation and to ascertain how much influence they have on current artificial intelligence innovation. This study considered that attitudes toward artificial intelligence may be different for each generation sharing a similar technology change culture. Therefore, the researchers limited the research subjects to I generation, which is the main users of artificial intelligence in the future. As a main result, the factors of expectiation of 'performance gain', 'positive social impact', and the factor of anxiety of 'threat to human-oriented social value' were drawn, and these factors influenced weak and strong artificial intelligence respectively. The results of this study suggests that artificial intelligence should develop into a pleasant relationship with humankind.

A Study of Unified Framework with Light Weight Artificial Intelligence Hardware for Broad range of Applications (다중 애플리케이션 처리를 위한 경량 인공지능 하드웨어 기반 통합 프레임워크 연구)

  • Jeon, Seok-Hun;Lee, Jae-Hack;Han, Ji-Su;Kim, Byung-Soo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.5
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    • pp.969-976
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    • 2019
  • A lightweight artificial intelligence hardware has made great strides in many application areas. In general, a lightweight artificial intelligence system consist of lightweight artificial intelligence engine and preprocessor including feature selection, generation, extraction, and normalization. In order to achieve optimal performance in broad range of applications, lightweight artificial intelligence system needs to choose a good preprocessing function and set their respective hyper-parameters. This paper proposes a unified framework for a lightweight artificial intelligence system and utilization method for finding models with optimal performance to use on a given dataset. The proposed unified framework can easily generate a model combined with preprocessing functions and lightweight artificial intelligence engine. In performance evaluation using handwritten image dataset and fall detection dataset measured with inertial sensor, the proposed unified framework showed building optimal artificial intelligence models with over 90% test accuracy.

A Study on the Factors Affecting the Intention to Use Artificial Intelligence Speakers of the People with Physical Disability (지체장애인의 인공지능 스피커 사용 의도에 영향을 미치는 요인에 관한 연구)

  • Park, Hyehyun;Lee, Sunmin
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.572-578
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    • 2021
  • The purpose of this study was to verify the impact of cognitive and emotional factors on artificial intelligence speakers on the intention of using artificial intelligence speakers. The method for this study was online surveys of people with physical disability. The recognition and necessity of artificial intelligence speakers were also identified, the perceived intimacy, joy, and intention to use them, and a multiple linear regression analysis was conducted to check the influence of each variable on the intention of the disabled to use artificial intelligence speakers. This study have shown that the perceived enjoyment of AI speakers in people with disabilities has shown a significant static effect on their intended use. However, the recognition and necessity of artificial intelligence speakers of the physically handicapped, as well as the perceived intimacy, do not have a statistically significant impact on the intention of using artificial intelligence speakers, according to the analysis. The results of this study suggest that it is necessary to strengthen the elements of enjoyment in order to improve the intention of the disabled to use artificial intelligence speakers, and it is meaningful in that it provides basic data to develop artificial intelligence products and customized services for people with disabilities.

An Artificial Intelligence Education Program Development and Application for Elementary Teachers (초등 교사들을 위한 인공지능 교육 프로그램 개발 및 적용)

  • Kim, Kapsu
    • Journal of The Korean Association of Information Education
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    • v.23 no.6
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    • pp.629-637
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    • 2019
  • Rapid changes in the knowledge and information society of the 21st century should be embraced and applied to teachers. Since artificial intelligence(AI) is an important axis of rapid change, artificial intelligence education should be started from elementary school. This change requires elementary school teachers to have basic skills for AI education. In this study, an AI education program for elementary school teachers is developed. This development consists of three stages, the first stage is the understanding of artificial intelligence, the second stage is the understanding and application of artificial intelligence tools, and the final stage is the creation and application of artificial intelligence programs. 15 elementary school teachers were tested. The result of this study will be a useful educational program for teachers in charge of AI education in elementary school students.