During large-scale disasters, emergency call centers are often overwhelmed by the large volume of rescue requests and calls for help. Consequently, people are turning to social media platforms to seek assistance. Resc...
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Large Language Models (LLMs) are becoming ubiquitous to create intelligent virtual assistants that assist users in interacting with a system, as exemplified in marketing. Although LLMs have been discussed in modeling ...
ISBN:
(纸本)9798331534202
Large Language Models (LLMs) are becoming ubiquitous to create intelligent virtual assistants that assist users in interacting with a system, as exemplified in marketing. Although LLMs have been discussed in modeling & simulation (M&S), the community has focused on generating code or explaining results. We examine the possibility of using LLMs to broaden access to simulations, by enabling non-simulation end-users to ask what-if questions in everyday language. Specifically, we discuss the opportunities and challenges in designing such an end-to-end system, divided into three broad phases. First, assuming the general case in which several simulation models are available, textual queries are mapped to the most relevant model. Second, if a mapping cannot be found, the query can be automatically reformulated and clarifying questions can be generated. Finally, simulation results are produced and contextualized for decision-making. Our vision for such system articulates long-term research opportunities spanning M&S, LLMs, information retrieval, and ethics.
Integrated Cellular Framework for modeling Ecosystems: Theory and Applications', by Baha Uddin Kazi and Gabriel Wainer, published Online First on 11 March 2017 in the journal of simulation with the DOI: 10.1177/00...
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Integrated Cellular Framework for modeling Ecosystems: Theory and Applications', by Baha Uddin Kazi and Gabriel Wainer, published Online First on 11 March 2017 in the journal of simulation with the DOI: 10.1177/0037549717706007. In this paper, the funding statement was incorrect and the acknowledgements section was not added in the Online First version. This has since been corrected in the Online First version of the article.
Natural systems often exhibit chaotic behavior in their space-time evolution. Systems transiting between chaos and order manifest a potential to compute, as shown with cellular automata and artificial neural networks....
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Real-Time pedestrian simulation for open-world games involves aggressive behavior simplification and culling to keep computational cost under control, but it is diffficult to predict whether these techniques will beco...
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The buoyant Marangoni convection heat transfer in a differentially heated cavity is numerically studied. The cavity is filled with water-Ag, water-Cu, water-Al2O3, and water-TiO2 nanofiuids. The governing equations ar...
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The buoyant Marangoni convection heat transfer in a differentially heated cavity is numerically studied. The cavity is filled with water-Ag, water-Cu, water-Al2O3, and water-TiO2 nanofiuids. The governing equations are based on the equations involving the stream function, vorticity, and temperature. The dimensionless forms of the governing equations are solved by the finite difference (FD) scheme consisting of the alternating direction implicit (ADI) method and the tri-diagonal matrix algorithm (TDMA). It is found that the increase in the nanoparticle concentration leads to the decrease in the flow rates in the secondary cells when the convective thermocapillary and the buoyancy force have similar strength. A critical Marangoni number exists, below which increasing the Marangoni number decreases the average Nusselt number, and above which increasing the Marangoni number increases the average Nusselt number. The nanoparticles play a crucial role in the critical Marangoni number.
The discipline of component-based modeling and simulation offers promising gains including reductions in development cost, time, and system complexity. This paradigm promotes the use and reuse of modular components fo...
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This paper presents a framework for distributed simulation that is based on system-theoretic and logical-process concepts. The framework describes a three-part world-view for developing simulation models. These are mo...
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ISBN:
(纸本)1565552687
This paper presents a framework for distributed simulation that is based on system-theoretic and logical-process concepts. The framework describes a three-part world-view for developing simulation models. These are modeling formalisms, abstract simulators, and computational environments. A unified view of time and causality allows for the application of system-theoretic notions of causality within a distributed simulation environment. Within this framework, we introduce a unified notion of causality. Further we describe an approach for developing distributed simulation models which evolve from modeling constructs to simulation algorithms and their implementations. The framework is exemplified using the Discrete EVent System Specification (DEVS) modeling formalism, its abstract simulator, and a parallel algorithm that implements the abstract simulator.
To obtain the finite reachable graph of a Discrete Event System Specification (DEVS) network, this paper uses a subclass of DEVS, called finite and deterministic DEVS. This subclass has been restricted to have (1) fin...
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To obtain the finite reachable graph of a Discrete Event System Specification (DEVS) network, this paper uses a subclass of DEVS, called finite and deterministic DEVS. This subclass has been restricted to have (1) finite sets of both events and states, (2) the rational-number time advance function, (3) the time independent external transition, and (4) the selective reschedule functionality. For abstracting the infinite-state behavior to a finite- state reachable graph, we use the clock zone that is a conjunction of inequalities of clocks. A clock zone-based generating algorithm of the reachable graph of the coupled DEVS is proposed and its completeness and complexity are addressed.
modeling and simulation has become a driving force within the engineering and science communities as the cost of, and time for, experimentation continues to rise. Some areas of study, such as chemistry and biology, ma...
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ISBN:
(纸本)1563476746
modeling and simulation has become a driving force within the engineering and science communities as the cost of, and time for, experimentation continues to rise. Some areas of study, such as chemistry and biology, may not even have the ability to fully evaluate certain processes experimentally, making modeling and simulation even more important. The situation has led many areas of research to the necessity of modeling and simulating various processes using computers. In addition, the rise in computational capabilities (the supercomputers of a decade ago are outmoded by the PC clusters of today), has led to a paradigm shift from using the computer resources only available to a few researchers to a tool now available to many people. Researchers at the U.S. Air Force Academy are working to bring these modeling and simulation tools into the classroom and laboratories for students to learn the capabilities, and limitations, of modern computational tools. Descriptions of how modeling and simulation is performed at the Academy are included, as well as details about the computational resources being used. Most importantly, descriptions of the methods used to bring these tools to the classroom are described in detail.
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