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Many agent simulations involve computational models of intelligent human behavior. In a variety of cases, these behavior models should be high-fidelity to provide the required realism and credibility. Cognitive architectures may assist the generation of such high-fidelity models as they specify the fixed structure underlying an intelligent cognitive system that does not change over time and across...
This tutorial reviews the role of Stochastic Petri Nets (SPNs) in stochastic simulation. The evolution of SPNs as a component-level state-space modeling framework is discussed. SPNs are compared to both process-based approaches to discrete event simulation (DES) and to agent-based modeling (ABM). The causes for the apparent lack of commercial success of general-purpose simulation with SPNs are analyzed...
Modern buildings are often expected to satisfy minimum safety requirements to define upper bounds for safety metrics, such as evacuation time. The building design must therefore consider prediction of these metrics for a set of representative evacuation scenarios. These scenarios can be rather complex, and often can be investigated only using building evacuation simulators. However, these simulators...
At the outset, there is no question that building energy use is largely influenced by the presence and behavior of occupants. Among other, the key to realize energy use reduction while still maintaining occupant comfort is to seamlessly integrate occupant behavior in energy simulation tools with capabilities that would optimally manage building energy systems. This paper provides an in-depth survey...
Buildings play a major role in total annual energy use worldwide. The purpose of this study is to evaluate the energy performance of University of Florida (UF) buildings and assess the effects of selected Energy Efficiency Measures (EEMs) on their energy performance. For this study, a set of buildings were identified based on a space functionality classification and two of them were chosen for simulation...
Building energy usage prediction plays an important role in building energy management and conservation. Building energy prediction contributes significantly in global energy saving as it can help us to evaluate the building energy efficiency; to conduct building commissioning; and detect and diagnose building system faults. AI based methods are popular owing to its ease of use and high level of accuracy...
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