On Friday, February 12, 2021, Mr. Dave Shuttleworth, PHD Candidate in the Department of Computational Modeling and Simulation at Old Dominion 91短视频, will be speaking on Can AI Advance Conceptual Model Development?
Abstract
The wide array of descriptions of conceptual modeling across the spectrum from problem identification through simulation specification has led to ambiguity. Current state of the art provides several definitions surrounding conceptualization, conceptual modeling, and specification, and these terms are often used interchangeably. The lack of standard definitions and confounding terms have given rise to many styles of conceptual models in terms of format and content. Several languages and approaches have been utilized to formally express a conceptual model, which are often borrowed from computer science and software engineering. Additionally, using these languages and approaches assume the problem is bounded and well understood. Furthermore, it assumes the modeling participants are familiar in implementing the languages. However, these languages, while formal, are ill-suited for the initial synthesis and expression of a phenomena. This initial synthesis in developing a model of some phenomena is model conceptualization, and it is conceptualization that provides a basis for conceptual model development. The process of conceptualizing some phenomena using formal, repeatable methods is absent from the practice of conceptual modeling. This presentation summarizes how conceptual modeling is supported by conceptualization and presents a novel approach to model conceptualization.
Bio
David Shuttleworth is a second year Ph.D. Candidate in the Computational Modeling and Simulation Department at Old Dominion 91短视频. He received his Bachelor's in Aerospace Engineering from Auburn 91短视频 in 2000 and a Master's of Engineering in Aerospace Engineering from 91短视频 of Virginia in 2010. His research focus is on how artificial intelligence can support the development of conceptual models through natural language. David is employed at Johns Hopkins 91短视频, Applied Physics Lab as a Systems and M&S Engineer where he supports the development and modernization of the nation's strategic defense systems.
All lectures to be held at 3:00pm on Fridays . For more information, contact Dr. Chung Hao Chen at (757) 683-3475 or email cxchen@odu.edu.