• Title/Summary/Keyword: Intelligence Theory

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Problems in Conceptualization of Emotional Intelligence (감성지능 개념화의 문제점)

  • 이수정
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2000.04a
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    • pp.26-29
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    • 2000
  • This study would review how important to define emotional intelligence could be in measuring individual differences in emotional experience. For this purpose, the definitions of emotion, built by psychological theorists, would first reviewed, in connection to the newly developed techniques in the area of emotional engineering. Comparing peripheral theories of emotion and cognitive appraisal theories, the multi-facets of emotional experience would be illustrated and it would discussed what these facets mean to predict emotional health of individuals.

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Context-Awareness for Location Based-Service for Ubiquitous Learning with underlying Principles of Ontology, Constructivism, Artificial Intelligence

  • Gelogo, Yvette;Kim, Hye-jin
    • International Journal of Internet, Broadcasting and Communication
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    • v.4 no.2
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    • pp.7-11
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    • 2012
  • In this paper, we defined constructivism and ontology theory and associate it in ubiquitous learning. The typical ubiquitous learning involving the Context Aware Intelligent system was presented. Also the Architecture for learning environment including the key idea and technical concept is being presented in this paper. Guided with these principles and with the advancement of information and communication technology the context-awareness based on Artificial intelligence for Location based Service for ubiquitous Learning was conceptualized.

Western Music as an Abstract Art Form (추상 예술로서의 서양 음악)

  • 윤중선;황성호;주동욱;하영명
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.11a
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    • pp.450-455
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    • 1996
  • Emotional intelligence is investigated in terms of a composing machine as a modern abstract art form. Music has the longest tradition of being an art form which has an explicit formal foundation. Formal aspects of traditional and modern music theory are explained in terms of simple numerical relationship and illustrated with examples. The exploration of art in the view of intelligence, information and structure will restore the balanced sense of art and science which seeks happiness in life.

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A Systematic Mapping Study on Artificial Intelligence Tools Used in Video Editing

  • Bieda, Igor;Panchenko, Taras
    • International Journal of Computer Science & Network Security
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    • v.22 no.3
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    • pp.312-318
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    • 2022
  • From the past two eras, artificial intelligence has gained the attention of researchers of all research areas. Video editing is a task in the list that starts leveraging the blessing of Artificial Intelligence (AI). Since AI promises to make technology better use of human life although video editing technology is not new yet it is adopting new technologies like AI to become more powerful and sophisticated for video editors as well as users. Like other technologies, video editing will also be facilitated by the majestic power of AI in near future. There has been a lot of research that uses AI in video editing, yet there is no comprehensive literature review that systematically finds all of this work on one page so that new researchers can find research gaps in that area. In this research we conducted a statically approach called, systematic mapping study, to find answers to pre-proposed research questions. The aim and objective of this research are to find research gaps in our topic under discussion.

Preliminary Studies on Embedding Qualitative Reasoning into Qualitative Analysis and Laboratory Simulation

  • Pang, Jen-Sen;Syed Mustapha, S.M.F.D;Mohd.Zain, Sharifuddin
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.01a
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    • pp.230-236
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    • 2001
  • In this paper, we explored the possibilities of embedding Qualitative Reasoning techniques, the Qualitative Process Theory (QPT), and its implementation in the field of inorganic chemistry. The target field of implementation is Qualitative Chemical Analysis and Laboratory Simulation. By embedding such technique in this education software we aim to combine theory and practice into a single package. The system, are able to generate reasoning and explanation based on chemical theories, helping student in mastering basic chemistry knowledge and practical skill as well. We also review the suitability of embedding QPT techniques into chemistry in general, by comparing some examples from both fields.

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The Representation of Emotion in RIDE (RIDE 감성 표현 기법)

  • Jun, Sungtaeg;Han, Jae-Il
    • Proceedings of the Korea Contents Association Conference
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    • 2004.11a
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    • pp.489-492
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    • 2004
  • In this paper, we propose a representation method of emotions in RIDE(Robot Intelligence with Digital Emotion) project. The method used in RIDE not only represents the emotional state in James-Lange Theory but also represents that of the Cannon-Bard Theory. Furthermore, our method allow the memorization of an emotion so as to process the self-inflicting emotion mentioned in the Schafter-Singer Theory. We also allow the similarity and differences in the characteristics by compaing of two emotions.

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An Integrative Framework for Creating Collective Intelligence and Enhancing Performance (집단지성과 성과창출을 위한 통합적 개념틀 검토)

  • Chu, Cheol Ho;Ryu, Su Young
    • Knowledge Management Research
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    • v.19 no.3
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    • pp.173-187
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    • 2018
  • This study was aimed at suggesting an integrative framework for creating collective intelligence and enhancing group performance after reviewing previous studies including those related to learning organizations, organizational learning, knowledge management, and collective intelligence. In the first, we examined that the similarities and differences between collective intelligence and other similar concepts, such as learning organizations, organizational learning, and knowledge management. Next, an integrative framework for creating collective intelligence and channeling it into strong group performance were suggested. In this process, we reviewed conditions for creating collective intelligence and segmented the major variables as expectancy, valence, and instrumentality, according to Vroom's (1964) expectancy theory. Characteristics of problems and the roles of leaders were respectively considered as valence for inducing collaboration and expectancy for managing probability to achieve goals. Instrumental factors were also adopted from conditions for creating group intelligence suggested from several researchers, such as creativity, openness, willingness for working together, horizontal communication, centralization in decision making, and building effective information and communication technology system and active usage of it. We discussed two potentially disputable matters about the scope and level of collective intelligence and group performance and suggest several theoretical and practical implications in the Discussion.

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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A Study on Policy Acceptance Intention to Use Artificial Intelligence-Based Public Services: Focusing on the Influence of Individual Perception & Digital Literacy Level (인공지능 기반 공공서비스 정책수용 의도에 관한 연구: 개인의 인식과 디지털 리터러시 수준이 미치는 영향을 중심으로)

  • Jang, Changki;Sung, WookJoon
    • Informatization Policy
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    • v.29 no.1
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    • pp.60-83
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    • 2022
  • The purpose of this study is to empirically analyze the effect of individual perception of artificial intelligence and the level of digital literacy on the acceptance of artificial intelligence-based public services. For empirical analysis, a research model was set up based on the technology acceptance model and planned behavior theory using survey data of 2017 and analyzed through structural equations. To summarize the results of the analysis, firstly, the positive perception of individuals about artificial intelligence technology plays a role in reinforcing attitudes toward benefits and reducing concerns about public service in which artificial intelligence technology has been introduced. Secondly, the level of digital literacy reinforces both benefits and concerns about artificial intelligence technology, but it was found that the intention to use public services was reinforced through the benefits of artificial intelligence technology perceived by individuals, rather than privacy concerns about artificial intelligence technology. Thirdly, it was confirmed that the perceived benefits of individuals on artificial intelligence technology reinforced the intention to use public civil services, and privacy concerns negatively influenced the intention to use. It was confirmed that the influence of a perceived ease of use and usefulness, as opposed to privacy concerns, further reinforces the intention to use. Both citizens' positive perceptions regarding the accuracy and reliability of information provided through artificial intelligence technology and institutional complementation of responsibility for errors caused by artificial intelligence technology are strengthened, and technical problems related to privacy protection are solved.

Fuzzy Theory based Electronic Commerce Navigation Agent that can Query by Natural Language (자연어 질의가 가능한 퍼지 기반 지능형 전자상거래 검색 에이전트)

  • 김명순;정환묵
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.05a
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    • pp.270-273
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    • 2001
  • In this paper, we proposed the intelligent navigation agent model for successive electronic commerce management. For allowing intelligence, we used fuzzy theory. Fuzzy theory is very useful method where keywords have vague conditions and system must process that conditions. So, using theory, we proposed the model that can process the vague keywords effectively. Through the this, we verified that we can get the more appropriate navigation result than any other crisp retrieval keywords condition.

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