International Conference Papers


Yun, W.-S., Moon, I.-C. and Lee, T.-E., 2013. Entity Level Combat Modeling with Functions of Unit Level Combat. In Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) 2013. Orlando, FL.

 

Abstract : 
 Both unit level and entity level combat models are required with different strengths and weaknesses. Unit level combat models have certain advantage in terms of computations while entity level combat models have higher fidelity than unit level models. Whether both or either one of those models should be applied for making a combat model depends on the objective of the model.
In combat modeling for brigade or lower level of echelon, entity level combat modeling should be appropriate since the computational load is felicitous and describing individual combat entities in detail is necessary on that level of echelon. Yet functions that allows to do unit level operations could be still required for certain simulation systems such as a constructive simulation model for command post exercise of commanders and staffs in a brigade level of echelon.
In this research, a method of entity level combat modeling that also has necessary functions of unit level combat models is suggested. The method is to model all combat entities and their interactions individually but allow operators or training audiences of the simulation system to control a set of entities as a unit according to military doctrine and tactics. We introduces commanding agents that receive orders from operators or training audiences, process the orders, and issue the processed orders to their subordinate commanding agents or individual entities. Agent-based modeling techniques are used to model such commanding agents. A case study to show the concept of this study is also presented.

 

@inproceedings{Yun2013a,
address = {Orlando, FL},
author = {Yun, W.-S. and Moon, I.-C. and Lee, T.-E.},
booktitle = {Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) 2013},
mendeley-groups = {test,WORK},
title = {{Entity Level Combat Modeling with Functions of Unit Level Combat}},
year = {2013}
}

 

No. Subject
31 Muhyun Byun, Hyungho Na, IL-Chul Moon, Time-Efficient Weapon-Target Assignment by Actor-Critic Reinforcement, IEEE Conference on System, Man, and Cybernetics (SMC 2023), Maui, Hawaii, USA, Oct 1-4, 2023 file
30 Tae-Sub Yun, Hanbit Lee, and Il-Chul Moon, Finance and Decreasing Business Dynamics: Using Macroeconomic Agent-Based Simulation, Social Simulation Conference (SSC 2022), Milan, Italy, Sep 14 file
29 Dongjun Kim, Tae-Sub Yun, Il-Chul Moon, Jang Won Bae, Automatic Calibration Framework of Agent-Based Models for Dynamic and Heterogeneous Parameters, International Conference on Autonomous Agent and Multi-Agent Systems (AAMAS 2022), Virtual, May 9 file
28 Mu Hyun Byun, Il-Chul Moon, Categorization of AI-Enabled Command and Control in Ballistic Missile Defense, International Command and Control Research and Technology Symposium (ICCRTS 2021), Oct 18, 2021 file
27 Tae-Sub Yun, Young-Chul Kim, Ki-Sung Jin, and Il-Chul Moon, AGENT-BASED MODELING AND SIMULATION ON RESIDENTIAL POPULATION MOVEMENT PATTERNS: THE CASE OF SEJONG CITY, Proceedings of the 2020 Winter Simulation Conference (WinterSim 2020), Dec 13-16 file
26 Tae-Sub Yun and Il-Chul Moon, Housing Market Agent Based Simulation with Loan-To-Value and Debt-To-Income, International Conference on Principles and Practice of Multi-Agent Systems (PRIMA 2019), Torino, Italy, Oct 28-31. file
25 Seongcheol Woo, Juneyeong Yeon, Mingi Ji, Il-Chul Moon, Jinkyoo Park. Deep Reinforcement Learning with Fully Convolutional Neural Network to Solve An Earthwork Scheduling Problem. IEEE Conference on System, Man, and Cybernetics 2018 (SMC 2018) file
24 Jang Won Bae, Bowon Nam, Kee-Eung Kim, Junseok Lee and Il-Chul Moon. Hybrid Modeling and Simulation of Tactical Maneuvers in Computer Generated Force, IEEE Conference on System, Man, and Cybernetics 2017 (SMC 2017), Banff, Canada, Oct 5-8 file
23 T. Lee et al., "Characterizing emergency responses in localities with different social infrastructures using EMSSim," 2016 Winter Simulation Conference (WSC), Washington, DC, USA, 2016, pp. 1926-1937. file
22 Chi-Jung Jung and Il-Chul Moon. Intelligent Behavior Modeling on Information Delivery of Time-Sensitive Targets, 2016 International Simulation Muti-Conference, AsiaSim / SCS AutumnSim, Beijing, China. file
21 Doyun Kim, Do-hyeong Kim, and Il-Chul Moon. Inverse Modeling of Combat Behavior with Virtual-Constructive Simulation Training, 2016 International Simulation Muti-Conference, AsiaSim / SCS AutumnSim, Beijing, China. file
20 Yun, W.-S., S.-G. Ko, I.-C. Moon, and T.-E. Lee. 2015. “Effectiveness of Command and Control Time in Combat Outcome.” In Asia Simulation Conference. Jeju Island, Korea. file
19 I.C. Moon et al. 2015. EMSSIM: EMERGENCY MEDICAL SERVICE SIMULATOR WITH GEOGRAPHIC AND MEDICAL DETAILS. In Winter Simulation Conference. Huntington Beach, CA. file
18 A.R. Kang, D.Y. Kim, J.S. Lee, J.W. Bae, and I.C. Moon. 2015. COMPARATIVE STUDY OF COMMAND AND CONTROL STRUCTURE BETWEEN ROK AND US FIELD ARTILLERY BATTALION. In Winter Simulation Conference. Huntington Beach, CA. file
17 Lee, W.S., Park, S.R. and Moon, I.-C., 2014. Modeling Multiple Fields of Collective Emotions with Brownian Agent-Based Model. In AAMAS. Paris, France. file
16 Lee, S.H., Bae, J.W., Lee, J.S., Hong, J.H. and Moon, I.-C., 2014. Simulation Experiment of Routing Strategy for Evacuees and Disaster Responders. In Spring Simulation Multiconference. Tampa, FL., Apr. 13-16, 2014 file
» Yun, W.-S., Moon, I.-C. and Lee, T.-E., 2013. Entity Level Combat Modeling with Functions of Unit Level Combat. In Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) 2013. Orlando, FL. file
14 Moon, I.-C. and Hong, J.H., 2013. Theoretic Interplay Between Abstraction, Resolution, and Fidelity in Model Information. In Proceedings of the 2013 Winter Simulation Conference. Washington D. C.: IEEE, pp. 1283–1291. file
13 Lee, S.H., Shin, J.S., Lee, G.H. and Moon, I.-C., 2013. Impact of Relocation to City Commerce: Micro-Level Estimation with Agent-Based Model. In 2013 Spring Simulation Multiconference. San Diego, CA, USA, pp. 77–84. file
12 Bae, J.W., Lee, G. and Moon, I.-C., 2012. Formal Specification Supporting Incremental and Flexible Agent-Based Modeling. In 2012 Winter Simulation Conference. Berlin, Germany. file