• Science & Technology Policy
• /
• v.17 no.3 s.164
• /
• pp.1-3
• /
• 2007

• Proceedings of the Korea Information Processing Society Conference
• /
• 2021.05a
• /
• pp.483-486
• /
• 2021

기존의 심층 강화학습은 상태, 행동, 정책 등을 모두 벡터 형태로 표현하는 강화학습으로서, 학습된 정책의 일반성과 해석 가능성에 제한이 있고 영역 지식을 학습에 효과적으로 활용하기도 어렵다는 한계성이 있다. 이러한 문제점들을 해결하기 위해 제안된 새로운 관계형 강화학습 프레임워크인 dNL-RRL은 상태, 행동, 그리고 학습된 정책을 모두 논리 서술자와 규칙들로 표현할 수 있다. 본 논문에서는 dNL-RRL을 기초로 공장 내 운송용 모바일 로봇의 제어를 위한 행동 정책 학습을 수행하였으며, 학습의 효율성 향상을 위해 인간 전문가의 사전 영역 지식을 활용하는 방안들을 제안한다. 다양한 실험들을 통해, 본 논문에서 제안하는 영역 지식을 활용한 관계형 강화학습 방법의 학습 성능 개선 효과를 입증한다.

• Convergence Security Journal
• /
• v.18 no.1
• /
• pp.69-84
• /
• 2018

This study examines antecedents of the intention of compliance with information security policies based on Ajzen's Theory of Planned Behavior. The study conducted the following: Verification of casual relations between role of management and protection motivation and the antecedents of planned behavior as parameters to determine the effect on the intention of compliance with information security policy, and comparative analysis between the research model and a competition model. The result of the study disclosed that, in the research model, attitude and subjective norm took an intermediary role on management beliefs, response efficacy, response cost, self-efficacy, and compliance intention, and perceived behavior control on management beliefs, self-efficacy and compliance intention.

• Journal of Digital Convergence
• /
• v.16 no.2
• /
• pp.421-430
• /
• 2018

The purpose of this study is to analyze the scale of health risk behaviors among adolescents in Daegu area. The purpose of this study was to develop a health risk behavior measurement item for the adolescent adolescents in Korea and to analyze the validity (CVR) of the existing THI measurement items and then to quantify the health risk behavior Were compared and analyzed. As a result of the analysis, the reliability of the health risk behavior scale of adolescents developed through the factor analysis was verified to derive measurement items such as general condition, respiratory, circulatory, digestive, mental health and other items. The reliability and validity of the developed health risk behavior scale were found to be fairly good. Through these studies, it will be possible to develop a preventive program that can reduce the risk of health related adolescents' youth, and to devise a strategy that can provide basic data for policy formulation.

• Journal of KIISE:Software and Applications
• /
• v.35 no.3
• /
• pp.179-188
• /
• 2008

An important issue in multiagent reinforcement learning is how an agent should team its optimal policy through trial-and-error interactions in a dynamic environment where there exist other agents able to influence its own performance. Most previous works for multiagent reinforcement teaming tend to apply single-agent reinforcement learning techniques without any extensions or are based upon some unrealistic assumptions even though they build and use explicit models of other agents. In this paper, basic concepts that constitute the common foundation of multiagent reinforcement learning techniques are first formulated, and then, based on these concepts, previous works are compared in terms of characteristics and limitations. After that, a policy model of the opponent agent and a new multiagent reinforcement learning method using this model are introduced. Unlike previous works, the proposed multiagent reinforcement learning method utilize a policy model instead of the Q function model of the opponent agent. Moreover, this learning method can improve learning efficiency by using a simpler one than other richer but time-consuming policy models such as Finite State Machines(FSM) and Markov chains. In this paper. the Cat and Mouse game is introduced as an adversarial multiagent environment. And effectiveness of the proposed multiagent reinforcement learning method is analyzed through experiments using this game as testbed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.12 no.2
• /
• pp.41-54
• /
• 2017

The purpose of this study is to find out how the support system of the government and the local governments for enhancing the success rate of the startup firms affected the performance of the enterprises according to the behavior characteristics of the founders. It is divided entrepreneurial support system into entrepreneurial policy support such as entrepreneurial education, mentoring and consulting, and funding of startup support such as policy fund and R & D fund, distinguished the behavior of founder into behaviors for discovery of entrepreneurial opportunities and behaviors for exploiting entrepreneurial opportunities. In order to analyze whether it affects the corporate management performance, a research model was created based on the previous research and hypotheses were set up, and the hypotheses were verified based on this questionnaire. The results of this study are as follows: First, it is found that the support for entrepreneurial policy has a positive effect on the behavior characteristics of entrepreneur. Second, it is found that the startup support such as policy fund affects the behavioral characteristics for finding the opportunity of the founder, but it does not affect the behavioral characteristics for the opportunity exploit. Third, it was found that the behavior characteristics of entrepreneur founding opportunity and exploition of entrepreneurial opportunity influenced the performance of the company. According to the this study, the following conclusion were obtained, First, it is necessary to apply different policies according to the stage of growth of startup companies. Second, startup companies grow through the stages of development of new technologies and ideas, commercialization, and marketing, at each stage, entrepreneur must overcome the so-called Death Valley, which requires funding.

• Journal of Digital Convergence
• /
• v.10 no.1
• /
• pp.77-86
• /
• 2012

The significances of this study are that it offers the possibility of empirical measure, and analysis of the relevance among the temperament according to the degree of Internet addiction, parental rearing behaviors, and committing school violence and that, based on this, were drawn policy suggestions to prevent school violence according to the degree of Internet addiction. According to the results of this study it was revealed that there are differences in Internet addiction depending on the demographical and sociological characteristics. The result of investigating the impact of Internet addiction's degree on the actions of committing school violence shows that the level of general activities is high in the group of young people of Internet addiction and addiction risk, their low access/withdrawal temperament and mood temperament affect significantly the actions of committing school violence, and in parenting behavior mother's high expectations and low supervision affect youth Internet addiction and school violence. Thus, policy suggestions to prevent school violence according to Internet addiction were presented y dividing the role of government and schools, and homes.

• Science & Technology Policy
• /
• v.25 no.8
• /
• pp.14-15
• /
• 2015

• Journal of Digital Convergence
• /
• v.15 no.7
• /
• pp.81-90
• /
• 2017

The purpose of this study is to analyze the strategic behaviors of the Broadcasting advocacy coalition and IT advocacy coalition in the process of establishing the Korea Communications Commission(KCC) in 2008. Broadcasting and telecommunications convergence policy has been confronted with long-term conflicts because of ideological clashes between public interest and industrialism and stakeholder relations. Under this circumstance, the two advocacy coalitions sought to bring out the favorable outcomes through strategic behavior. However, the strategic behaviors were limited, and the establishment of the Korea Communications Commission was decided by political negotiation. Since then, KCC has been buried in political issues and has produced policy failure cases. In order to reduce these adverse effects, it is necessary to establish institutional devices in the reorganization process. Above all, efforts are needed to overcome the practice of using organizational restructuring as a political tool.

• Proceedings of the Korea Multimedia Society Conference
• /
• 2004.05a
• /
• pp.571-574
• /
• 2004

최근의 가상현실은 모든 컴퓨터 응용분야의 통합의 결과로 산출되고 있다. 이에따라 가상현실은 현실세계를 기본으로 하는 다양한 가상현실 객체들을 구성하고 표현한다. 그러나 획일적인 객체들의 속성정책으로는 다양한 가상현실 객체의 다양성을 표현하기에 적합하지 않다. 그러므로 본 논문에서는 가상현실 객체의 속성과 이벤트로 객체 행동을 결정하도록 하는 오토마타를 정의한다. 오토마타의 기본 개념은 단순한 상태의 수를 가지고 있는 객체일지라도 전이 함수로 복합적이고 동적인 행동을 생성할 수 있다. 전이함수를 이용하여 가상현실 객체의 데이터 모델로 객체가 가지는 행동들을 다양하게 부여 할 수 있으며, 객체군집의 통일적인 행동까지 양산할 수 있는 가상현실 객체 오토마타를 제안한다.