International Conference Papers

Agent Modeling 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.

2014.01.07 06:56

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.

Abstract :

Understanding the emergence of collective emotions is critical to the analysis of online and offline societies. The agent-based simulation community has developed various social norm models to see the polarization of collective emotions. Yet, a few models have psychological background as fundamentals, as well as statistical validation, and this paper aims at resolving the two challenges. Particularly, this paper models agents as Brownian agents with different parameters of arousal, valence, and preference, which originates from the field of psychology. The Brownian agents enable the agents to become more heterogeneous, while they are simple enough to be understood and expanded. In the simulation, the agents influence and are influenced by multiple fields, or parts of community, of collective emotions. We designed two virtual experiments: one hypothetical setting to generate the emergence, and the other setting to validate the model with a real-world dataset. The first experiment identifies the scenario characteristics of extreme polarizations of collective emotions. The second experiment shows that the simple Brownian agent model is able to generate the real-world case with statistical significance.

@inproceedings{Lee:2014:MMF:2615731.2615859,
 author = {Lee, Wonsung and Park, Sungrae and Moon, Il-Chul},
 title = {Modeling Multiple Fields of Collective Emotions with Brownian Agent-based Model},
 booktitle = {Proceedings of the 2014 International Conference on Autonomous Agents and Multi-agent Systems},
 series = {AAMAS '14},
 year = {2014},
 isbn = {978-1-4503-2738-1},
 location = {Paris, France},
 pages = {797--804},
 numpages = {8},
 url = {http://dl.acm.org/citation.cfm?id=2615731.2615859},
 acmid = {2615859},
 publisher = {International Foundation for Autonomous Agents and Multiagent Systems},
 address = {Richland, SC},
 keywords = {artificial social systems, social and organizational structure, social simulation},
}

Source Website :

http://dl.acm.org/citation.cfm?id=2615859

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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
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
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
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
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
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.
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)
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
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.
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.
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.
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.
19	I.C. Moon et al. 2015. EMSSIM: EMERGENCY MEDICAL SERVICE SIMULATOR WITH GEOGRAPHIC AND MEDICAL DETAILS. In Winter Simulation Conference. Huntington Beach, CA.
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.
»	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.
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
15	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.
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.
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.
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.

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