International Journal Papers

Agent Modeling Bae, J. W., Kim, J. H., Moon, I.-C., & Kim, T. G. (2016). Accelerated Simulation of Hierarchical Military Operations with Tabulation Technique. Journal of Simulation, 10(1), 36–49.

2014.03.24 18:22

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Bae, J. W., Kim, J. H., Moon, I.-C., & Kim, T. G. (2016). Accelerated Simulation of Hierarchical Military Operations with Tabulation Technique. Journal of Simulation, 10(1), 36–49.

Abstract :

Recently, a challenge in defence modelling and simulation is that simulating a satisfactory number of scenarios often requires an infeasible runtime. This paper resolves this challenge by utilizing a tabulation technique that encourages reuses of the previous simulation results in hierarchical models. For example, a mission-level model may contain a number of similar engagement scenarios that must be executed multiple times by an engagement-level model. Therefore, we collapse the multiple similar executions into a single simulation run while verifying the statistical stability in the output distribution. This reuse is supported by adapting the tabulation technique to hierarchical models with the extension of an interpolation in matching the lower abstractions. An application in the naval air defence domain shows that the simulation is speeded up a maximum of seven times, while producing statistically identical simulation results with few increments in the variance.

@article{DBLP:journals/jos/BaeKMK16,
  author    = {Jang Won Bae and
               J. H. Kim and
               Il{-}Chul Moon and
               Tag Gon Kim},
  title     = {Accelerated simulation of hierarchical military operations with tabulation
               technique},
  journal   = {J. Simulation},
  volume    = {10},
  number    = {1},
  pages     = {36--49},
  year      = {2016},
  url       = {http://dx.doi.org/10.1057/jos.2014.37},
  doi       = {10.1057/jos.2014.37},
  timestamp = {Tue, 01 Mar 2016 11:42:40 +0100},
  biburl    = {http://dblp.uni-trier.de/rec/bib/journals/jos/BaeKMK16},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}

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http://dblp.uni-trier.de/search?q=Bae%2C+J.+W.%2C+Kim%2C+J.+H.%2C+Moon%2C+I.-C.%2C+%26+Kim%2C+T.+G.+%282016%29.+Accelerated+Simulation+of+Hierarchical+Military+Operations+with+Tabul

http://www.palgrave-journals.com/jos/journal/v10/n1/abs/jos201437a.html

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No.	Subject
32	Dongjun Kim, Kyungwoo Song, Yoon-Yeong Kim, Yongjin Shin, Wanmo Kang, Il-Chul Moon, Weonyoung Joo, Sequential Likelihood-Free Inference with Neural Proposal, Pattern Recognition Letters, Volume 169, 2023, Pages 102-109
31	Hyungho Na, Jaemyung Ahn, and Il-Chul Moon, "Weapon–Target Assignment by Reinforcement Learning with Pointer Network, " Journal of Aerospacce Information Systems, Vol. 20, No. 1 (2023), pp. 53-59
30	Tae-Sub Yun, Dongjun Kim, Il-Chul Moon, Jang Won Bae, (2022) Agent-Based Model for Urban Administration: A Case Study of Bridge Construction and its Traffic Dispersion Effect, Journal of Artificial Societies and Social Simulation
29	Woo-Seop Yun, Sunggil Ko, Muhyun Byun, Heeyoung Kim, Il-Chul Moon and Tae-Eog Lee, Toward Robust Battle Experimental Design for Command and Control of Mechanized Infantry Brigade, Military Operations Research, Vol. 27, No. 1 (2022), pp. 45-72
28	J. H. Lee, I. -C. Moon and R. Oh, "Similarity Search on Wafer Bin Map Through Nonparametric and Hierarchical Clustering," in IEEE Transactions on Semiconductor Manufacturing, vol. 34, no. 4, pp. 464-474, Nov. 2021, doi: 10.1109/TSM.2021.3102679.
27	Kim, D., Yun, TS., Moon, IC. et al. Automatic calibration of dynamic and heterogeneous parameters in agent-based models. Auton Agent Multi-Agent Syst 35, 46 (2021).
26	Kim, Yoon-Yeong, et al. "Black-Box Expectation–Maximization Algorithm for Estimating Latent States of High-Speed Vehicles." Journal of Aerospace Information Systems 18.4 (2021): 175-192.
25	Joo, W., Lee, W., Park, S., & Moon, I. C. (2020). Dirichlet variational autoencoder. Pattern Recognition, Vol. 107, 107514.
24	Tae-Sub Yun and Il-Chul Moon, "Housing Market Agent-Based Simulation with Loan-To-Value and Debt-To-Income", Journal of Artificial Societies and Social Simulation, Vol. 23, Issue 4, 5, 2020
23	Jang, J.; Shin, S.; Lee, H.; Moon, I.-C. Forecasting the Concentration of Particulate Matter in the Seoul Metropolitan Area Using a Gaussian Process Model. Sensors 2020, 20, 3845.
22	J. W. Bae et al., "Layered Behavior Modeling via Combining Descriptive and Prescriptive Approaches: A Case Study of Infantry Company Engagement," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, no. 7, pp. 2551-2565, July 2020
21	Kim, Dohyung, Hyun-Shik Oh, and Il-Chul Moon. "Black-box Modeling for Aircraft Maneuver Control with Bayesian Optimization." International Journal of Control, Automation and Systems 17.6 (2019): 1558-1568.
20	Shin, S. J., Kang, A., Kim, D., Lee, J., Bae, J. W., & Moon, I. C. (2019). Improving counterfire operations with enhanced command and control structure. Computational and Mathematical Organization Theory, 25(4), 464-498.
19	J. W. Bae et al., "Evaluation of Disaster Response System Using Agent-Based Model With Geospatial and Medical Details," in IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 48, no. 9, pp. 1454-1469, Sept. 2018.
18	Il-Chul Moon, Kyungwoo Song, Sang-Hyeon Kim, and Han-Lim Choi, State Prediction of High-speed Ballistic Vehicles with Gaussian Process, International Journal of Control, Automation and Systems, Vol. 16, Issue 3, June 2018, pp 1282-1292
17	Su-Jin Shin, Je-Yong Oh, Sungrae Park, Minki Kim, Il-Chul Moon, Hierarchical prescription pattern analysis with symptom labels, Pattern Recognition Letters, Volume 111, 2018, Pages 94-100
16	Sungrae Park, Doosup Choi, Minki Kim, Wonchul Cha, Chuhyun Kim, Il-Chul Moon, Identifying prescription patterns with a topic model of diseases and medications, Journal of Biomedical Informatics, Volume 75, November 2017, Pages 35-47
15	Su-Jin Shin, and Il-Chul Moon, "Guided HTM: Hierarchical Topic Model with Dirichlet Forest Priors", IEEE Transactions on Knowledge & Data Engineering. vol. 29 no. 2, p. 330-343, Feb., 2017
14	Bae, J. W., Bae, S. W., Moon, I. C., & Kim, T. G. (2016). Efficient Flattening Algorithm for Hierarchical and Dynamic Structure Discrete Event Models. ACM Transactions on Modeling and Computer Simulation (TOMACS), 26(4), 25.
13	Bae, J. W., & Moon, I. C. (2016). LDEF Formalism for Agent-Based Model Development. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(6), 793–808.

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