6 citations · 6 across the 7 of their papers we have counts for
9 papers
Artificial Intelligence and Modeling & Simulation: An Overview
Niclas Feldkamp, Philippe J. Giabbanelli, Istvan David
Artificial intelligence (AI) and Modeling & Simulation (M&S) are increasingly intertwined, reflecting converging research needs across both communities, rapid technological advance…
Model-Driven Data Contracts for Digital Twin Services
Philipp Zech, Istvan David
Digital Twins (DT) integrate data from multiple sources. Models consume data and enable DT services such as simulations, what-if analyses, and ML-driven predictions. To ensure prop…
Artificial Intelligence for Modeling & Simulation in Digital Twins
Philipp Zech, Istvan David
The convergence of modeling & simulation (M&S) and artificial intelligence (AI) is leaving its marks on advanced digital technology. Pertinent examples are digital twins (DTs) - hi…
Developing AI Agents with Simulated Data: Why, what, and how?
Xiaoran Liu, Istvan David
As insufficient data volume and quality remain the key impediments to the adoption of modern subsymbolic AI, techniques of synthetic data generation are in high demand. Simulation…
Introduction to Digital Twins for the Smart Grid
Xiaoran Liu, Istvan David
This chapter provides an introduction to the foundations of digital twins and makes the case for employing them in smart grids. As engineered systems become more complex and autono…
Engineering Automotive Digital Twins on Standardized Architectures: A Case Study
Stefan Ramdhan, Winnie Trandinh, Istvan David +2
Digital twin (DT) technology has become of interest in the automotive industry. There is a growing need for smarter services that utilize the unique capabilities of DTs, ranging fr…
From over-reliance to smart integration: using Large-Language Models as translators between specialized modeling and simulation tools
Philippe J. Giabbanelli, John Beverley, Istvan David +1
Large Language Models (LLMs) offer transformative potential for Modeling & Simulation (M&S) through natural language interfaces that simplify workflows. However, over-reliance risk…
AI Simulation by Digital Twins: Systematic Survey, Reference Framework, and Mapping to a Standardized Architecture
Xiaoran Liu, Istvan David
Insufficient data volume and quality are particularly pressing challenges in the adoption of modern subsymbolic AI. To alleviate these challenges, AI simulation uses virtual traini…
Systems of Twinned Systems: A Systematic Literature Review
Feyi Adesanya, Kanan Castro Silva, Valdemar V. Graciano Neto +1
Modern systems exhibit unprecedented complexity due to their increased scale, interconnectedness, and the heterogeneity of their digital and physical components. In response to sca…