• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.697-698
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• 2017

In this paper, we propose a method that the simulated objects acquire the information in the war game system according to the resolution using information announcement mode. It is confirmed that the time of object information acquisition in the proposed information announcement mode is shorter than that of the conventional direct requesting mode in the simulation.

• Journal of the Korea Institute of Military Science and Technology
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• v.25 no.4
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• pp.390-400
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• 2022

Military deception is an action executed to deliberately mislead enemy's decision by deceiving friendly forces intention. In the lessons learned from war history, deception appears to be a critical factor in the battlefield for successful operations. As training using war-game simulation is growing more important, it is become necessary to implement military deception in war-game model. However, there is no logics or rules proven to be effective for CGF(Computer Generated Forces) to conduct deception behavior automatically. In this study, we investigate methodologies for CGF to learn and conduct military deception using Reinforcement Learning. The key idea of the research is to define a new criterion called a "deception index" which defines how agent learn the action of deception considering both their own combat objectives and deception objectives. We choose Korea Marine Corps Amphibious Demonstrations to show applicability of our methods. The study has an unique contribution as the first research that describes method of implementing deception behavior.

• Proceedings of the Korea Society for Simulation Conference
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• 2003.11a
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• pp.3-10
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• 2003

Developments in science and technology based on computer technology influenced military fields and created up-to-date weapons and equipment, and as a result, which is changing the war accomplishing methods of the future warfare. Due to these changes in the war accomplishing methods, the army command centers are requested to make changes in their decision-making process. In other words, they need to apply more scientific methods rather than just build a scheme by the mere analysis of commanders and the staffs as in the past. Consequently, we propose a model, Vision 21 we developed as a war game model for division-size unit analysis use, in the COA development process, which is the most important part in establishing the OPLAN for mission accomplishment. Vision 21, with a comparative analysis of the other COA built in the COA development process, can be applied to making the best COA. Model employment concept can let us choose the best COA, operating war games on condition that the COA of the opposite forces is fixed and ours sequentially opposed against, and with a comparative analysis also. Moreover, if the time available is limited, before establishing several courses, we can apply the COA to the process for making the best decision, analysing in stages or by main phases and not establishing several courses for a special purpose.

• Journal of the Korea Institute of Military Science and Technology
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• v.19 no.6
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• pp.730-743
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• 2016

Network-Centric Warfare is a forthcoming military revolution paradigm for maximizing combat effectiveness in terms of information superiority. However, quantitative assessment of information effect is a challenging issue. Among the many approaches, war-game is a well known method to evaluate combat effectiveness. However, previous researches and current models have a limited function or logic to simulate information process, which is core concept of NCW. So this research suggests a concept of simulation modeling method to describe the information process as defining of combat information process based on probability decision model. In addition, we suggest a simple scenario to represent proposed concept modelling method. This results can be used in designing war-game analysis model for enhanced information effectiveness.

• Journal of the Korea Society for Simulation
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• v.17 no.4
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• pp.61-69
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• 2008

In order to evaluate the performance of priority queues for future event list in discrete-event simulations, models representing patterns of enqueue and dequeue processes are required. The time complexities of diverse priority queue implementations can be compared using the performance models. This study aims at developing such performance models especially under the environment that a developed simulation model is used repeatedly for a long period. The developed performance model is based on multi-stage Markov process models; probabilistic patterns of enqueue and dequeue are considered by incorporating non-homogeneous transition probability. All necessary parameters in this performance model would be estimated by analyzing a results obtained by executing the simulation model. A case study with a war game simulation model shows how the parameters defined in muti-stage Markov process models are estimated.

• Information Systems Review
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• v.16 no.1
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• pp.89-106
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• 2014

The war simulation systems in Republic of Korea Army have been getting more and more important because soldiers can effectively and efficiently learn and share their war-related knowledge based on the interactions through the systems. But, up to now, the access to the war simulation systems has been limited to only soldiers. So, little research on them has been conducted. This study explores the effects of the antecedents to the flow experience and the characteristics of the systems on soldiers' intentions to use them. Based on the 118 samples collected from officers in Republic of Korea Army, this study empirically shows the logical reality of the war simulation systems and the flow experience positively influence soldiers' intentions to use the systems and the clarified goals, feedbacks, and the levels of the missions in the systems are significant antecedents to the flow experience. Useful implications are presented and discussed based on the new findings.

• Journal of Korea Multimedia Society
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• v.23 no.5
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• pp.667-672
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• 2020

Defense M&S (Modeling&Simulation) is a tool that creates a virtual battle situation similar to the real world, measuring and evaluating the effects of war or combat elements. However, it is very challenging to consider all the possible outcomes on the battlefield. To solve this problem, we propose a battlefield ontology, which conceptualizes the data of battlefield situation with tactical considerations. The proposed battlefield ontology is evaluated based on various communication posts in war game scenarios. The battlefield ontology is expected to assist the process of quick and accurate command decisions in convoluted battlefield situations.

• Journal of the military operations research society of Korea
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• v.36 no.1
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• pp.51-64
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• 2010

In this paper, we investigate and analyze the application of VV&A on the development of war-game models which were developed in Korea. Then we propose VV&A framework which comprises VV&A basic model, VV&A reference model and a supporting tool. The VV&A basic model consists of VV&A process, products and methodologies. The VV&A reference model includes VV&A check lists for each VV&A activities, an assessment model of VV&A execution level and VV&A process maturity model. The VV&A supporting tool is to document and manage VV&A products. The proposed VV&A framework can be used as the foundation of VV&A plan on its execution.

• Journal of the military operations research society of Korea
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• v.33 no.1
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• pp.59-74
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• 2007

Computer simulation models are in general quite complex and time-consuming to run, and therefore, a simpler meta-model is usually constructed for further analysis. In this paper, JANUS, a war-game simulator, is used to describe a certain tank combat situation. Then, second-order response surface and artificial neural network meta-models are developed using the data from eight different experimental designs. Relative performances of the developed meta-models are compared in terms of the mean squared error of prediction. Computational results indicate that, for the given problem, the second-order response surface meta-model generally performs better than the neural network, and the orthogonal array-based Latin hypercube design(LHD) or LHD using maximin distance criterion may be recommended.

• Journal of the Korea Institute of Military Science and Technology
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• v.21 no.6
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• pp.865-876
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• 2018

This study focuses on the operating requirements of multi-resolution modeling(MRM) in training war-game model and proposes solutions for major issues of multi-resolution interoperation between Combat21 model and tank multi-purpose simulator(TMPS). We study the operating requirements of MRM through interviews with defense M&S experts and literature surveys and report the various issues that could occur with low-resolution model Combat21 and high-resolution model TMPS linked, for example, when to switch objects, what information to exchange, what format to switch to, and how to match data resolutions. This study also addresses the purpose and concept of training using multi-resolution interoperation, role of each model included in multi-resolution interoperation, and issue of matching damage assessments when interoperated between models with different resolutions. This study will provide the common goals and directions of MRM research to MRM researchers, defense modeling & simulation organizations and practitioners.