Unified theories of cognition
Behavioral diversity in learning robot teams
Behavioral diversity in learning robot teams
Modeling Imitational Behavior Via Social Comparison Theory
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Agent-Based Social Simulation and Modeling in Social Computing
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
Vcast on facebook: bridging social and similarity networks
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Predicting demonstrations' violence level using qualitative reasoning
SBP'11 Proceedings of the 4th international conference on Social computing, behavioral-cultural modeling and prediction
Thesis research: modeling crowd behavior based on social comparison theory
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Towards qualitative reasoning for policy decision support in demonstrations
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Towards a computational model of social comparison: Some implications for the cognitive architecture
Cognitive Systems Research
A Framework for Modeling Social Groups in Agent-Based Pedestrian Crowd Simulations
International Journal of Agent Technologies and Systems
Using qualitative reasoning for social simulation of crowds
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
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Models of crowd behavior facilitate analysis and prediction of human group behavior, where people are affected by each other's presence. Unfortunately, existing models leave many open challenges. In particular, psychology models often offer only qualitative description, while computer science models are often simplistic, and are not reusable from one simulated phenomenon to the next. We propose a novel model of crowd behavior, based on Festinger's Social Companson Theory (SCT). We propose a concrete algorithmic framework for SCT and evaluate its implementation in several crowd behavior scenarios. Results from task measures and human judges evaluation shows that the SCT model produces improved results compared to base models from the literature.