• Korean Journal of Child Studies
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• v.26 no.5
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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.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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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.

• Knowledge Management Research
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• v.1 no.1
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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.

• Journal of The Korean Astronomical Society
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• v.36 no.3
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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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• v.33 no.4
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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.

• Korean System Dynamics Review
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• v.6 no.2
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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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• v.7 no.3
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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.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2003.10a
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• pp.149-149
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• 2003

• Korean Journal of Computational Design and Engineering
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• v.18 no.5
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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.

• Journal of Intelligence and Information Systems
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• v.12 no.3
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• pp.67-82
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• 2006

We propose the HBEM(Hybrid Behavior Evolution Model) composed of rule classification and evolutionary neural network using rule descriptor and link descriptor for evolutionary behavior of virtual robots. In our model, two levels of the knowledge of behaviors were represented. In the upper level, the representation was improved using rule and link descriptors together. And then in the lower level, behavior knowledge was represented in form of bit string and learned adapting their chromosomes by the genetic operators. A virtual robot was composed by the learned chromosome which had the best fitness. The composed virtual robot perceives the surrounding situations and they were classifying the pattern through rules and processing the result in neural network and behaving. To evaluate our proposed model, we developed HBES(Hybrid Behavior Evolution System) and adapted the problem of gathering food of the virtual robots. In the results of testing our system, the learning time was fewer than the evolution neural network of the condition which was same. And then, to evaluate the effect improving the fitness by the rules we respectively measured the fitness adapted or not about the chromosomes where the learning was completed. In the results of evaluating, if the rules were not adapted the fitness was lowered. It showed that our proposed model was better in the learning performance and more regular than the evolutionary neural network in the behavior evolution of the virtual robots.