Automated Mapping Tool from Moise+ to Colored Petri Nets
DOI:
https://doi.org/10.32473/flairs.37.1.135392Palavras-chave:
Moise, Petri Net, Multi-Agent, MappingResumo
The demand for systems incorporating artificial intelligence, such as multi-agent systems, is continually increasing. Simultaneously, there is a growing need for developing tools to support this field, ensuring better fault tolerance within projects. This is particularly crucial given that these systems possess characteristics that render them non-deterministic, thereby amplifying the challenge of conducting tests. To address this challenge, a mapping tool has been developed. This tool automatically generates a graphical model, facilitating the identification of test paths for a given multi-agent system. It operates by taking an XML file from Moise+, an organizational model for multi-agent systems, and translates it into a colored Petri net. The resulting mapping serves as a foundation for generating test cases essential for validating the Moise+ model, guiding system testing. Automation streamlines the process, enhancing speed, and eliminating the potential for human error.
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Copyright (c) 2024 Ricardo Machado, Athur Zelindro, Eder Gonçalves, Diana Adamatti, Giovani Farias
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial 4.0 International License.