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We investigate the effects of time advance mechanisms on the behavior of agents in combat simulations using some simple scenarios relevant to combat and agent-based models. We implement these simulation designs in two modeling packages that illustrate the differences between discrete-time simulation (DTS) and discrete-event simulation (DES) methodologies. Many combat models use DTS as their simulation...
Fewstudies examine distinct characteristics of problems studied by agent-based models and their implications on operational validation. This paper focuses on exploratory and generative modeling perspective advocated by the agent-based modeling paradigm. The significance of robustness is emphasized, and a robust generative validation strategy is proposed for models used in scientific problems in which...
In a recent paper, Gongyun Zhao introduced what appears to be the first interior point formulation for solving two-stage stochastic linear programs for finite support random variables. In this paper, we generalize Gongyun Zhao's formulation by incorporating it into a retrospective approximation framework. What results is an implementable interior-point solution paradigm that can be used to solve general...
Automating the model generation process of infrastructure can substantially reduce the modeling time and cost. This paper presents a method to generate a sparse point cloud of an infrastructure scene using a single video camera under practical constraints. It is the first step towards establishing an automatic framework for object-oriented as-built modeling. Motion blur and key frame selection criteria...
Surrogate models are data-driven models used to accurately mimic the complex behavior of a system. They are often used to approximate computationally expensive simulation code in order to speed up the exploration of design spaces. A crucial step in the building of surrogate models is finding a good set of hyperparameters, which determine the behavior of the model. This is especially important when...
Project schedules are typically defined in relatively strict terms and often rely on well-defined task ordering. Commonly, each task has either a pre-determined duration, or, a minimum, a maximum and a most-likely duration length. In real-life, however, projects are subject to numerous uncertainties. They often impact durations of tasks and may lead to project re-scheduling. In such cases managers...
In this paper we discuss verification and validation of simulation models. Four different approaches to deciding model validity are described, a graphical paradigm that relates verification and validation to the model development process is presented, and various validation techniques are defined. Conceptual model validity, model verification, operational validity, and data validity are discussed...
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