… The CAMIL includes six affective and cognitive factors that can lead to IVR-based learning
outcomes. We start by presenting how presence and agency influence each of these six …

… demographic data to build a detailed agent-based model of severe acute respiratory syndrome
… Our results show that a response system based on enhanced testing and contact tracing …

… agent-based and equation-based models in this pandemic. The 16 March simulations that
the team ran to inform the UK government's COVID-19 response used an agent-based model …

… We developed an agent-based model of severe acute respiratory syndrome coronavirus
2 (SARS-CoV-2) transmission and parameterized it with US demographics and age-specific …

… of the multi-agent dynamic model based on distance and orientation between agents. The
other main contribution is given in Section 4, where the control strategy, based on C-SMC and …

… Most of the research addresses learning for automatic improvement of the prediction model
… Finally, we discuss concepts that leverage MPC to augment learning-based controllers with …

… agent trajectories requires modeling two key dimensions: (1) time dimension, where we model
the influence of past agent … , where we model how the state of each agent affects others. …

… Specifically, we develop a large-scale Agent-Based Model (ABM) capturing salient
features of COVID-19 transmission in Australia, and use it to evaluate the effectiveness of non-…

… Our previous PM 2.5 model in the contiguous United States was also based on neural
networks, but with a larger number of predictor variables. (Di et al., 2016). Besides neural networks…

… In this paper, the network-based dynamic modeling and PI control for height adjusting
purpose of a continuous-time DDW system in a wireless network environment are investigated. …