Research Article
A Unifying Framework for UML Profile-based Cognitive Modeling: Development and Experience
@INPROCEEDINGS{10.1145/3173519.3173524, author={Zhi Zhu and Yonglin Lei and Yifan Zhu and Abdurrahman Alshareef and Hessam S. Sarjoughian}, title={A Unifying Framework for UML Profile-based Cognitive Modeling: Development and Experience}, proceedings={10th EAI International Conference on Simulation Tools and Techniques}, publisher={ACM}, proceedings_a={SIMUTOOLS}, year={2018}, month={8}, keywords={dsl uml profile cognitive modeling anti-submarine}, doi={10.1145/3173519.3173524} }
- Zhi Zhu
Yonglin Lei
Yifan Zhu
Abdurrahman Alshareef
Hessam S. Sarjoughian
Year: 2018
A Unifying Framework for UML Profile-based Cognitive Modeling: Development and Experience
SIMUTOOLS
ACM
DOI: 10.1145/3173519.3173524
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.