yan-elena / myjoghurt-case-study

Case Study of the laboratory plant myJoghurt - implemented with JaCaMo BDI agents embedding an engine for processing the NPL(s) language and a set of capabilities for approaching the sanctioning norm enforcement process

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MyJoghurt Case Study

This repository contains a case study illustrating the practical potential of the extended normative programming language NPL(s) with sanctions as first-class abstraction integrated into the JaCaMo BDI agent architecture. More details are available in our research paper:

  • Elena Yan, Luis G. Nardin, Jomi F. Hübner, and Olivier Boissier. (2024). An Agent-Centric Perspective on Norm Enforcement and Sanctions. International Workshop on Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems, https://arxiv.org/abs/2403.15128.

This case study addresses the problem of the laboratory plant myJoghurt described in "Increasing Robustness of Agents’ Decision-Making in Production Automation using Sanctioning" [link].

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Case Study of the laboratory plant myJoghurt - implemented with JaCaMo BDI agents embedding an engine for processing the NPL(s) language and a set of capabilities for approaching the sanctioning norm enforcement process

License:MIT License


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