• Title/Summary/Keyword: 행동진화

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말뫼의 눈물-이제는 시장이다

  • Kim, Hong-Geun
    • 정보보호뉴스
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    • s.126
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    • pp.8-9
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    • 2008
  • 사이버 공간에서의 보안은 공격자와 방어자가 서로의 행동에 연속적으로 반응하는 일종의 군비확장 경쟁(Arms Race)에 비유된다. 정보기술과 사이버 공간이 현재와 같은 속도로 진화하는 동안에는 이런 경쟁이 계속될 가능성이 높다. 따라서 방어자의 입장에서 사이버 보안에 대한 접근은 보호하고자 하는 정보자산의 가치에 따라 예방적(Preventive)이고 선제적(Preemptive)인 대책을 구사할 필요가 있다. 그렇지 않으면 일이 터지고 그때서야 대책 마련에 부지런을 떠는 '소 잃고 외양간 고치는'식의 대응적(Responsive) 수준에 머무를 수 밖에 없다. 상황에 따라 대응적 수준의 보안대책이 최선인 경우도 있으나, 정보기술 환경 또는 사이버 공간의 안전.신뢰성을 적극적으로 확보하기 위해서는 예방적이고 선제적인 보안 수단을 다양한 조직과 시스템에 광범위하게 적용할 필요가 있다.

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Evolving Cooperative Behavior of Autonomous Mobile Robots Using Genetic Programming (유전자 프로그래밍을 이용한 자율 이동 로봇군의 헙조행동 진화)

  • Cho, Dong-Yeon;Zhang, Byoung-Tak
    • Proceedings of the KIEE Conference
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    • 1998.07g
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    • pp.2197-2199
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    • 1998
  • Many multiagents cooperative problems, such as table transport problem, require several emergent behaviors and a proper coordination of these is essential for successful accompishment of the task. We study in this paper the genetic programming method, called fitness switching, to evolve cooperation strategies of robots in these kind of tasks and show simulation results to demonstrate its effectiveness.

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Human sensibility depending on the personality (개인 성향에 의존하는 감성)

  • Kim, Won-Sik
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2009.11a
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    • pp.152-153
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    • 2009
  • 개인의 감성에 영향을 미치는 요인은 개인적, 사회적, 문화적 요인이 중요한 비중을 차지한다. 여러 자료를 추적해보면 하나의 개체로서의 인간은 다른 개체와 마찬가지로 종족유지 본능이 가장 우선하며 생활경험을 통하여 그 종족유지의 극대화를 위하여 그 구성요소로서의 유전인자들이 최적화되는 방향으로 진화하고 있다고 볼 수 있다. 즉, 우리의 생체는 무엇이 우리의 종족유지를 위한 환경인지 경험을 통하여 터득하게 되고 새로운 내적, 외적 환경자극에 무의식적으로 직관적으로 대처하며, 감성이란 이러한 대처 양상의 하나라고 볼 수 있다. 본 연구에서는 이러한 관점에서 개인적, 사회적, 문화적 요인, 생애초기특정기간(critical period)의 경험, 감성유발 직전의 기분상태 등이 어떻게 감성에 영향을 미치는가를 고찰해보고자 한다.

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생체모방 알고리즘 기반 통신 네트워크 기술

  • Choe, Hyeon-Ho;Lee, Jeong-Ryun
    • Information and Communications Magazine
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    • v.29 no.4
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    • pp.62-71
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    • 2012
  • 수십 억년 동안 진화를 거듭해온 지구상의 생명체들은 외부의 제어 없이 독자적으로 단순한 행동 규칙에 따라 기능을 수행하여 주어진 목적의 최적해를 달성한다. 이러한 다양한 생명체의 행동 원리를 모델링하여 만든 알고리즘을 생체모방 알고리즘(Bio-Inspired Algorithm)이라 한다. 생체모방 알고리즘은 다수의 개체가 존재하며, 주변 환경이 동적으로 변하고, 가용 자원의 제약이 주어지며, 이질적인 특성을 갖는 개체들이 분잔 및 자율적으로 움직이는 환경에서 안정성, 확장성, 적응성과 같은 특징을 보여주는데, 이는 통신 네트워크 환경 및 서비스 요구사항과 유사성을 갖는다. 본 논문에서는 대표적인 생체모방 알고리즘으로 통신 및 네트워킹 기술로 사용되는 Ant Colony 알고리즘, Bee 알고리즘, Firefly 알고리즘, Flocking 알고리즘에 대해 살펴보고, 관련 프로젝트 및 연구 동향을 정리한다. 이를 통해 현재의 생체모방 알고리즘의 한계를 극복하고 미래 통신 및 네트워킹 기술이 나아갈 방향을 제시한다.

Realization of Artificial Life in 3D virtual space (3D 가상 공간상에서의 인공생명의 구현)

  • Kim, Do-Wan;Kwon, Min-Soo;Jung, Jin-Wook;Kang, Hoon
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.05a
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    • pp.221-224
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    • 2003
  • 본 논문에서는 Genetic Algorithm을 이용하여 사용자의 행동에 따라, Artificial Life의 반응과 행동을 3D 가상 공간상에서 구현하였다. 이러한 방법을 사용하여 어떻게 Artificial Life가 성장하고 어떻게 진화하는지를 3D 시뮬레이션을 통해 보여 주고 있다. 3D 가상 공간은 여러 명의 사용자가 이용할 수 있는 네트워크 프로그램을 기반으로 DirectX 8.1로 구현하였다.

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Neural-Fuzzy Controller Based on Reinforcement Learning (강화 학습에 기반한 뉴럴-퍼지 제어기)

  • 박영철;김대수;심귀보
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.05a
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    • pp.245-248
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    • 2000
  • In this paper we improve the performance of autonomous mobile robot by induction of reinforcement learning concept. Generally, the system used in this paper is divided into two part. Namely, one is neural-fuzzy and the other is dynamic recurrent neural networks. Neural-fuzzy determines the next action of robot. Also, the neural-fuzzy is determined to optimal action internal reinforcement from dynamic recurrent neural network. Dynamic recurrent neural network evaluated to determine action of neural-fuzzy by external reinforcement signal from environment, Besides, dynamic recurrent neural network weight determined to internal reinforcement signal value is evolved by genetic algorithms. The architecture of propose system is applied to the computer simulations on controlling autonomous mobile robot.

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Development of a Model of Brain-based Evolutionary Scientific Teaching for Learning (뇌기반 진화적 과학 교수학습 모형의 개발)

  • Lim, Chae-Seong
    • Journal of The Korean Association For Science Education
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    • v.29 no.8
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    • pp.990-1010
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    • 2009
  • To derive brain-based evolutionary educational principles, this study examined the studies on the structural and functional characteristics of human brain, the biological evolution occurring between- and within-organism, and the evolutionary attributes embedded in science itself and individual scientist's scientific activities. On the basis of the core characteristics of human brain and the framework of universal Darwinism or universal selectionism consisted of generation-test-retention (g-t-r) processes, a Model of Brain-based Evolutionary Scientific Teaching for Learning (BEST-L) was developed. The model consists of three components, three steps, and assessment part. The three components are the affective (A), behavioral (B), and cognitive (C) components. Each component consists of three steps of Diversifying $\rightarrow$ Emulating (Executing, Estimating, Evaluating) $\rightarrow$ Furthering (ABC-DEF). The model is 'brain-based' in the aspect of consecutive incorporation of the affective component which is based on limbic system of human brain associated with emotions, the behavioral component which is associated with the occipital lobes performing visual processing, temporal lobes performing functions of language generation and understanding, and parietal lobes, which receive and process sensory information and execute motor activities of the body, and the cognitive component which is based on the prefrontal lobes involved in thinking, planning, judging, and problem solving. On the other hand, the model is 'evolutionary' in the aspect of proceeding according to the processes of the diversifying step to generate variants in each component, the emulating step to test and select useful or valuable things among the variants, and the furthering step to extend or apply the selected things. For three components of ABC, to reflect the importance of emotional factors as a starting point in scientific activity as well as the dominant role of limbic system relative to cortex of brain, the model emphasizes the DARWIN (Driving Affective Realm for Whole Intellectual Network) approach.

Study on the influencing factors of rural tourism behavior intention in China based on the theory of planned behavior (계획행동이론을 바탕으로 한 중국 농촌관광 행동의도 영향요인에 관한 연구)

  • He, Zhen hua;Sim, Jae yeon
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.207-224
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    • 2020
  • With the gradual improvement of China's residents' economic level, the continuous improvement of the holiday system, and the main purpose of relaxing mood and experiencing life, rural tourism has developed rapidly. In order to further achieve the goals of farmers' entrepreneurship, agricultural income increase, rural prosperity, and tourism management departments and tourism enterprises' management and operation objectives, this paper puts forward research hypotheses on the basis of relevant literature review and references. Based on the previous research results, this paper designs a questionnaire on Residents' rural tourism behavior intention, and uses SPSS23.0 to conduct correlation analysis and hypothesis test on the sample data, and draws the following conclusions: (1) rural tourism attitude, subjective norms, and perceived behavior control have a significant positive impact on rural tourism behavior intention; (2) policy system and resource conditions have a significant positive impact on rural tourism behavior intention; (3) policy system has a significant positive impact on subjective norms and perceived behavior control, and resource conditions have a significant positive impact on rural tourism attitude, subjective norms, and perceived behavior control.

Emotional Contagion as an Eliciting Factor of Altruistic Behavior: Moderating Effects by Culture (이타행동의 유발요인으로서 정서전염: 문화변인의 조절효과)

  • Jungsik Kim;Wan-Suk Gim
    • Korean Journal of Culture and Social Issue
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    • v.13 no.2
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    • pp.55-76
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    • 2007
  • This study investigated the relationship between emotional contagion and altruistic behaviors and also examined the moderating effect of self-construals(independent and interdependent self) in this relationship. It was hypothesized that the emotional expression of people in need would be caught by others through automatic mimicry, that emotional information would be internalized through the facial-feedback process and that the transferred emotion would eventually result in a motive to call for altruistic behaviors. In Study 1, participants watched a video clip about a disabled student reporting difficulties in school life but showing facial expression opposite to the contents of message to separate emotional contagion and empathy. Participants' decision to participate in voluntary works for the disabled student was measured. As a result, it was found that the more participants experienced emotional contagion, the more they participated in altruistic behaviors. Study 2 measured the vulnerability to emotional contagion, actual experiences of altruistic behaviors, and self-construals. The results of hierarchical regression showed that interdependent self moderated the influence of emotional contagion on altruistic behaviors whereas independent self moderated the relationship in an opposite direction. The implications of emotion and altruistic behaviors in human evolution process are discussed.

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