• 아동학회지
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• 제26권5호
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• pp.185-204
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• 2005

This paper demonstrated how application of evolutionary knowledge to developmental perspectives enhances understanding of human ontogeny. Evolutionary Developmental Psychology (EDP) explains human behavior through evolutionary principles and focuses on ontogeny rather than phylogeny. In this paper, the authors review concepts of evolution, adaptations, and the processes of evolution from EDP perspectives. The definition and basic assumptions of EDP are introduced, followed by explanations of how evolution happens in ontogeny by looking at developmental systems approaches, concepts of ontogenetic and deferred adaptations, evolution of childhood, and brain plasticity. Possible pathways of evolution in ontogeny are also discussed. Finally, some research methodology for applying EDP to child development is suggested with specific hypotheses and studies.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.265-271
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• 2001

It is highly for the research in artificial intelligence area to be able to manage knowledge as human beings do. One of the fantastic natures that human knowledge management systems have is being active. Human beings actively manage their knowledge, solve conflicts and make inference. It makes a major difference from artificial intelligent systems. This paper focuses on the discussion of the features of that human knowledge systems, which underlies the active nature. With the features extracted, further research can be done to construct a suitable infrastructure to facilitate these features to build a man-made active knowledge management system. This paper proposed 10 features that human beings follow to maintain their knowledge. We believe it will advance the evolution of active knowledge management systems by realizing these features with suitable knowledge representation/decision models and software agent technology.

• 지식경영연구
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• 제1권1호
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• pp.19-46
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• 2000

Today, knowledge is considered the most strategically important resource. As research in knowledge management advances, it ought to review and categorize the already published literatures on knowledge management in the area of business strategy, accounting/finance, human resource management and management information technology. To identify the knowledge management research trend, we analyze 168 articles published in prominent academic journal during last two decades. This paper develops three stages model for knowledge management research: observation, initiation and evolution stage. Also, we classify the given researches according to the three criteria of contents, related academic area and applied research method.

• 천문학회지
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• 제36권3호
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• pp.149-158
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• 2003

Deep surveys at mid-infared through submillimeter wavelengths indicate that a substantial fraction of the total luminosity output from galaxies at high redshift (z > 1) emerges at wavelengths 30 - 300${\mu}m$. In addition, much of the star formation and AGN activity associated with galaxy building at these epochs appears to reside in a class of luminous infrared galaxies (LIGs), often so heavily enshrouded in dust that they appear as 'blank-fields' in deep optical/UV surveys. Here we present an update on the state of our current knowledge of the cosmic evolution of LIGs from z = 0 to z $\~$ 4 based on the most recent data obtained from ongoing ground-based redshift surveys of sources detected in ISO and SCUBA deep fields. A scenario for the origin and evolution of LIGs in the local Universe (z < 0.3), based on results from multiwavelength observations of several large complete samples of luminous IRAS galaxies, is then discussed.

• Journal of Astronomy and Space Sciences
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• 제33권4호
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• pp.257-264
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• 2016

A planet revolving around binary star system is a familiar system. Studies of these systems are important because they provide precise knowledge of planet formation and orbit evolution. In this study, a method to determine the evolution of an exoplanet revolving around a binary star system using different rates of stellar mass loss will be introduced. Using a hierarchical triple body system, in which the outer body can be moved with the center of mass of the inner binary star as a two-body problem, the long period evolution of the exoplanet orbit is determined depending on a Hamiltonian formulation. The model is simulated by numerical integrations of the Hamiltonian equations for the system over a long time. As a conclusion, the behavior of the planet orbital elements is quite affected by the rate of the mass loss from the accompanying binary star.

• 한국시스템다이내믹스연구
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• 제6권2호
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• pp.5-23
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• 2005

This paper investigates a dynamic mechanism underlying the process of knowledge creation and evolution with a focus on the SECI model(standing for Socialization, Externalization, Combination, Internalization) as proposed by Nonaka and Takeuchi(1991) and broadly accepted especially among the practitioners in knowledge management field. The SECI model provides with intuitive logic and clear delineation of knowledge types between the tacit and the explicit, and embodies an interaction dynamic. However explanations of the propelling forces for the knowledge transfer over the four quadrants of the model is yet to be made. And the transmission mechanisms are not prescribed though the model mentions knowledge is created and evolved in a spiral process. This paper, therefore attempts first to extend and elaborate it into a dynamic SECI model by identifying those propelling factors and their relationships(linkages) based on the systems thinking.

• Asian Journal of Innovation and Policy
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• 제7권3호
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• pp.511-533
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• 2018

As the developed and developing economies make the transition to knowledge-based economies, the high-tech sector has been the primary engine in enabling this transformation. Given this context, the policy making and implementation abilities of the countries' local administration assume significance. This study therefore attempts to examine the policy evolution undertaken by China and India which resulted in the emergence of high-tech startup ecosystems in these countries. Further, using a theoretical framework for an ideal entrepreneurial ecosystem, it tries to understand the similarities and differences prevalent currently in the Indian and Chinese high-tech startup ecosystem. The results of the study indicate that although both the countries took different paths, from a macro-perspective, they follow the same pattern as observed in the US and Israel policy making - that of the change in the role of Government as a regulator to that of an enabler of the entrepreneurial ecosystem. The differences and similarities between the key entrepreneurial ecosystem components provide additional knowledge about the currently prevailing conditions of the ecosystem in these countries.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 추계학술대회 논문요약집
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• pp.149-149
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• 2003

• 한국CDE학회논문집
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• 제18권5호
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• pp.309-320
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• 2013

Augmented reality (AR) is considered to be an excellent user interface to a 3D information space embedded within physical reality. For this reason, it has been applied to various applications such as design, medical service, interaction, and collaboration. However, there is no formal way of analyzing the research trend and evolution of augmented reality. This paper identifies the research trend and change in augmented reality (AR) via co-citation analysis. The co-citation analysis provides how the AR research has evolved, who are main contributors, and which papers suggest essential and influencing impact. To systematically analyze the cocitation, we have retrieved 1,145 papers from the Web of Science and applied a scientomertric analysis using CiteSpace. Based on the co-citation analysis of authors and documents, it is possible to analyze the evolution of augmented reality, key authors and papers, and breakthroughs. We have also compared the proposed approach with survey papers written by experts so that the result of the co-citation analysis can compromise the qualitative result done by experts, and thus it can provide a different view and insight for visualizing the research on augmented reality.

• 지능정보연구
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• 제12권3호
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• pp.67-82
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• 2006

가상 로봇의 행동 진화를 위해서 규칙 구성자와 연결 구성자를 구성하여 분류 규칙과 진화 신경망을 형성하는 혼합형 행동 진화 모델(Hybrid Behavior Evolution Model)을 제안한다. 본 모델에서는 행동 지식을 두 수준에서 표현하였다. 상위 수준에서는 규칙 구성자와 연결 구성자를 구성하여 표현력을 향상시켰다. 하위 수준에서는 행동 지식을 비트 스트링 형태의 염색체로 표현하여, 이들 염색체를 대상으로 유전자 연산을 적용하여 학습을 수행시켰다. 적합도가 최적인 염색체를 추출하여 가상 로봇을 구성하였다. 구성된 가상 로봇은 주변 상황을 인식하여 입력 정보와 규칙 정보를 이용하여 패턴을 분류하였고, 그 결과를 신경망에서 처리하여 행동하였다. 제안된 모델을 평가하기 위해서 HBES(Hybrid Behavior Evolution System)를 개발하여 가상 로봇의 먹이 수집 문제에 적용하였다. 제안한 시스템을 실험한 결과, 동일한 조건의 진화 신경망보다 학습 시간이 적게 소요되었다. 그리고, 규칙이 적합도 향상에 주는 영향을 평가하기 위해서, 학습이 완료된 염색체들에 대해서 규칙을 적용한 것과, 그렇지 않은 것을 각각 수행하여 적합도를 측정하였다. 그 결과, 규칙을 적용하지 않으면 적합도가 저하되는 것을 확인하였다. 제안된 모델은 가상 로봇의 행동 진화에 있어서 기존의 진화 신경망 방식 보다 학습 성능이 우수하고 규칙적인 행동을 수행하는 것을 확인하였다.