A Unifying framework for UML profile-based cognitive modeling: Development and experience

Zhi Zhu, Yonglin Lei, Yifan Zhu, Abdurrahman Alshareef, Hessam Sarjoughian

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

To achieve model reuse, cognitive decision behaviors are usually implemented using a scripting language which is separate from the programming language used to implement simulation models. Therefore, it is desirable to establish a much better grounding for cognitive modeling. In the context of Domain-Specific Modeling (DSM), metamodeling from scratch for designing such a scripting language poses some limitations, among which is the issue of integrating various models that are represented by different customized languages, together with a large expenditure of designing, implementing, and maintaining these languages and their supporting resources. Instead, UML Profile-based metamodeling is adopted in this research, as a light weighted extension to capture the cognitive domain concepts, relationships, and constraints. Moreover, we propose a unifying framework for designing the domain specific profile where the expressiveness of cognitive domain specification is increased and the development cost and time decreased. Also, we present the development process by constructing a profile of Anti-Submarine Tactics (AST) and illustrate it by demonstrating an example with a scenario of armed escort.

Original languageEnglish (US)
Title of host publicationProceedings of the 10th EAI International Conference on Simulation Tools and Techniques, SIMUTOOLS 2017
PublisherAssociation for Computing Machinery
Pages1-10
Number of pages10
VolumePart F138523
ISBN (Print)9781450363884
DOIs
StatePublished - Sep 11 2017
Event10th EAI International Conference on Simulation Tools and Techniques, SIMUTOOLS 2017 - Hong Kong, Hong Kong
Duration: Sep 11 2017Sep 13 2017

Other

Other10th EAI International Conference on Simulation Tools and Techniques, SIMUTOOLS 2017
CountryHong Kong
CityHong Kong
Period9/11/179/13/17

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Keywords

  • Anti-submarine
  • Cognitive modeling
  • DSL
  • UML profile

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Zhu, Z., Lei, Y., Zhu, Y., Alshareef, A., & Sarjoughian, H. (2017). A Unifying framework for UML profile-based cognitive modeling: Development and experience. In Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques, SIMUTOOLS 2017 (Vol. Part F138523, pp. 1-10). Association for Computing Machinery. https://doi.org/10.1145/3173519.3173524