• Smart Structures and Systems
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• v.8 no.1
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• pp.69-92
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• 2011

This paper presents an emergent pattern recognition approach based on the immune network theory and hierarchical clustering algorithms. The immune network allows its components to change and learn patterns by changing the strength of connections between individual components. The presented immune-network-based approach achieves emergent pattern recognition by dynamically generating an internal image for the input data patterns. The members (feature vectors for each data pattern) of the internal image are produced by an immune network model to form a network of antibody memory cells. To classify antibody memory cells to different data patterns, hierarchical clustering algorithms are used to create an antibody memory cell clustering. In addition, evaluation graphs and L method are used to determine the best number of clusters for the antibody memory cell clustering. The presented immune-network-based emergent pattern recognition (INEPR) algorithm can automatically generate an internal image mapping to the input data patterns without the need of specifying the number of patterns in advance. The INEPR algorithm has been tested using a benchmark civil structure. The test results show that the INEPR algorithm is able to recognize new structural damage patterns.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.2781-2792
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• 2018

From a cognitive perspective, this study investigates the role of emergent leaders in developing team cognition and affecting team performance. With application of the cognitive complexity theory, this study hypothesizes that emergent leaders' cognitive complexity will be positively associated with team cognitive complexity, and that team cognitive complexity will be positively associated with team performance. In addition, team cognitive complexity is hypothesized to mediate the effect of the cognitive complexity of emergent leaders on team performance. To test the research hypotheses, data were obtained from 100 teams comprising a total of 339 undergraduate students who participated in a business simulation game. The findings of this study suggests that the cognitive complexity of emergent leaders is a significant predictor of team cognitive complexity, and that team cognitive complexity is positively related to team performance. Moreover, team cognitive complexity significantly mediates the effect of emergent leaders' cognitive complexity and team performance.

• Journal of Information Technology Applications and Management
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• v.18 no.1
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• pp.15-39
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• 2011

A deeper understanding of how organizations behave as social complex adaptive systems is needed. In this paper we demonstrate how the Leadership Invigorating Flows of Energies model can help with this understanding. The model highlights the role of emergent leadership as a force encouraging the creation, diffusion, and utilization of knowledge through self-organizing mechanisms. We illustrate our approach by examining Wikipedia and show how it can be described as a social CAS. Our analysis of Wikipedia describes how emerging intrapreneurship behaviors result in dynamic flows of knowledge and self-organizing feedback mechanisms across the organization. We provide implications for organization studies and present evidence to support claims made by advocates of complexity theory. We conclude by proposing that Wikipedia can be seen as a new form of organization, and finish with a brief note highlighting a possible way forward.

• Journal of Korea Game Society
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• v.14 no.4
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• pp.7-16
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• 2014

This empirical study is to investigate the influence of MMORPG player's social as well as individual characteristics on the emergent party play. First, we have tested our research model by surveying 231 active players of Lineage 2. The results demonstrate that both the personal values, such as self-efficacy and job satisfaction, and also the organizational values, such as task interdependence and trust, have significant influences on the organizational citizenship behaviors among the party players. This study suggests both theoretical and practical implications on how to encourage gamers' altruistic concern and organizational adaptation in MMORPG.

• Journal of Korean Academy of Nursing
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• v.49 no.5
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• pp.505-514
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• 2019

Purpose: This study aimed to introduce and elucidate changes in Strauss and Corbin's grounded theory and discuss its application to the field of nursing in South Korea. Methods: The changes in grounded theory by Strauss and Corbin were examined through a literature review of grounded theory from its inception. Results: Strauss and Corbin acknowledged their philosophical backgrounds of symbolic interactionism and pragmatism; however, their methodology based on positivism overwhelmed their epistemology and ontology. This inconsistency has been represented by the coding paradigm and the premise of "emergent from the data." In the revised version of Basics, Strauss and Corbin modified their theory to weaken the coding paradigm and strengthen the strategies for the development of substantive theory. Conclusion: Strauss and Corbin's revised grounded theory did not fully address the inconsistency of their epistemology and ontology between their acknowledgement and methodology. However, these changes constitute a meaningful step toward resolving inconsistencies and highlight the development of substantive theory. This has implications for Korean nursing researchers who have utilized methodologies in grounded theory with dogmatic approaches; grounded theory, with its evolving nature, is not a finalized method and calls for open approaches for the development of a grounded theory that fits Korean nursing.

• Journal of Korea Game Society
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• v.14 no.4
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• pp.37-44
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• 2014

In this paper, we propose a NPC decision making model based on Prospect Theory which tries to model real-life choice, rather than optimal decision. For this purpose, we analyse the problems of reference point setting, diminishing sensitivity and loss aversion which are known as limitations of the utility theory and then apply these characteristics into the decision making in game. Dynamic Terrain Analysis is utilized to evaluate the proposed model and experimental result shows the method have effects on inducing diverse personality and emergent behavior on NPC.

• School Mathematics
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• v.16 no.4
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• pp.709-726
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• 2014

The purpose of the study was to pay attention to the studies of P. Cobb which have actively been quoted in the international research of mathematics education for the last three decades and to look at the result and effect of his research. In particular, we in-depth studied theories and the methods of the study which he has tried to reduce the gap in the theory and practice and investigated effects of his research to the Korean societies of mathematics education. Cobb made special effort to integrate radical constructivism and social constructivism and used emergent theory and symbolic interactionism as theoretical background of the study. Also he analyzed the mathematics classroom in individual and social perspectives based on the interpretive frames of social norm, sociomathematical norm and classroom-mathematical practices then dealt with equity and identity of the students. Because Cobb contributed significantly to the development of practical theory using design experiment as the method of studies, we presented the definition, characteristics, principles, processes and practices of the design experiment. We anticipate that his ways of research would be used as means of unifying the theory and the practice in school.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.747-750
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• 1995

As railway trains run faster high performance braking system are necessary because more energy needs to be dissipated due to increased kinetic energy. In this work a portable computer based prediction system for emergency braking distance has been developed. The algorithm for the system is based on braking theory and empirical results of actual braking test. The computer is connected to the sensors to measure the velocity and the braking pressure in real train. It is expected that this system will be utilized to predict emergency braking distance during actual operation of the train

• Journal of Information Technology Applications and Management
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• v.17 no.3
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• pp.191-211
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• 2010

Existing models of knowledge processing do not feature a systemic meaning of knowledge management and ignore the role of leadership and social energy in the knowledge processing system (KPS). This conceptual paper introduces the Leadership Invigorating Flows of Energies, (LIFE) Model as an attempt to remedy that situation and provide a more useful description of the KPS. The LIFE Model highlights the role of emergent leadership and flows of social energies as forces encouraging knowledge creation and dynamic diffusion within an organization through the Knowledge Processing Cycle in eight activities interacting with its social knowledge base in a self-organizing system.

• Journal of the military operations research society of Korea
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• v.32 no.2
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• pp.114-130
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• 2006

This paper deals with complexity theory to describe amphibious warfare situation using EINSTein (Enhanced ISAAC Neural Simulation Tool) simulation model. EINSTein model is an agent-based artificial "laboratory" for exploring self-organized emergent behavior in land combat. Many studies have shown that existing Lanchester equations used in most war simulation models does not describe changes of combat. Future warfare will be information warfare with various weapon system and complex combat units. We have compared and tested combat results with Lanchester models and EINSTein model. Furthermore, the EINSTein model has been applied and analyzed to amphibious warfare model such as amphibious assault and amphibious sudden attack. The results show that the EINSTein model has a possibility to apply and analyze amphibious warfare more properly than Lanchester models.