International Conference Papers

Agent Modeling 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.

2013.06.12 09:33

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.

Abstract :

Modeling and simulating a real world scenario is fundamentally an abstraction that takes only part of the given scenario into the model. Furthermore, the level of detail in the model, a.k.a. theresolution, plays an important role in the modeling and simulation process. Finally, theabstraction and resolution of the model determine the fidelity of the modeling and simulation, which becomes the ultimate utility for the model users. While abstraction, resolution and fidelityare the corner stones of the modeling and simulation discipline, they are often casually utilized. Moreover, their interplay is not investigated in-depth with explicit operationalization of the concepts. This article operationalizes the concept of abstraction, resolution, and fidelity by focusing on the aspect of model information. This theoretic investigation answers propositions involving these concepts, i.e. whether or not a higher resolution model has higher fidelity and why, through set theoretic approaches.

@INPROCEEDINGS{6721515,
author={I. C. Moon and J. H. Hong},
booktitle={2013 Winter Simulations Conference (WSC)},
title={Theoretic interplay between abstraction, resolution, and fidelity in model information},
year={2013},
pages={1283-1291},
keywords={modelling;set theory;simulation;abstraction;explicit concept operationalization;fidelity;model information;modeling and simulation process;resolution;set theoretic approaches;theoretic interplay;Abstracts;Accuracy;Communities;Computational modeling;Computer science;Moon},
doi={10.1109/WSC.2013.6721515},
ISSN={0891-7736},
month={Dec},}

Source Website:

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6721515&newsearch=true&queryText=Moon,%20I.-C.%20and%20Hong,%20J.H.,%202013.%20Theoretic%20Interplay%20Between%20Abstraction,%20Resolution,%20and%20Fidelity%20in%20Model%20Information.%20In%20Proceedings%20of%20the%202013%20Winter%20Simulation%20Conference.%20Washington%20D.%20C.:%20IEEE,%20pp.%201283%E2%80%931291.

WinterSim-2013-icmoon.pdf [File Size:631.4KB/Download:463]

I want to

List

Comment 0

List

No.	Subject
37	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.
36	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.
35	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.
34	K.W. Song and S.H. Kim and J.H. Tak and H.L. Choi and I.C. Moon, 2016, Data-Driven Ballistic Coefficient Learning for Future State Prediction of High-Speed Vehicles, 19th International Conference on Information Fusion (FUSION), Heidelberg, Germany
33	Lee, W.S., Lee, Y.M., Kim, H.Y., and Moon, I.-C., 2016. Bayesian Nonparametric Collaborative Topic Poisson Factorization for Electronic Health Records-Based Phenotyping. In International Joint Conference on Artificial Intelligence (IJCAI 2016). New
32	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.
31	Shin, S.-J., J.Y. Oh, S.R. Park, M.K. Kim, and I.-C. Moon. 2015. “Hierarchical Prescription Pattern Analysis with Symptom Labels.” In Workshop on Biological Data Mining and Its Applications in Healthcare, International Conference on Data Mining.
30	Park, S.R., W.S. Lee, and I.-C. Moon. 2015. “Supervised Dynamic Topic Models for Associative Topic Extraction with A Numerical Time Series.” In Workshop on Topic Models: Post-Processing and Applications, ACM Conference on Information and
29	I.C. Moon et al. 2015. EMSSIM: EMERGENCY MEDICAL SERVICE SIMULATOR WITH GEOGRAPHIC AND MEDICAL DETAILS. In Winter Simulation Conference. Huntington Beach, CA.
28	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.
27	Song, K. -W., Kim, D. -H., Shin, S. -J., and Moon, I. -C., 2014. Identifying the Evolution of Disasters and Responses with Network-Text Analysis, IEEE International Conference on SMC, San Diego, USA, Oct. 5-8, 2014
26	Park, S.R., Choi, D.S., Jung, D., Kim, M. and Moon, I. -C., 2014. Disease-Medicine Topic Models for Prescription Record Mining, IEEE International Conference on SMC, San Diego, USA, Oct. 5-8, 2014
25	Lee, W.S., Yi, G., Jung, D., Kim, M. and Moon, I. -C., 2014. Network Analysis Approach to Study Hospitals’ Prescription Patterns focused on the Impact of New Healthcare Policy, IEEE International Conference on SMC, San Diego, USA, Oct. 5-8, 2014
24	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.
23	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
22	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.
»	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.
20	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.
19	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.
18	Lee, G., Oh, N. and Moon, I.-C., 2012. Modeling and simulating network-centric operations of organizations for crisis management. In 2012 Spring Simulation Multiconference. Orlando, FL, pp. 114–122.

First Page 1 2 3 4 Last Page

Write

Tag