ArgRE: Formal Argumentation for Conflict Resolution in Multi-Agent Requirements Negotiation
As the complexity of software systems continues to escalate, the challenge of balancing competing quality attributes becomes increasingly critical. For instance, a safety requirement for sensor-fusion verification may directly conflict with budget constraints in a planning cycle. To tackle these intricate dilemmas, novel solutions have emerged, such as multi-agent large language model frameworks, which deploy specialized agents to address distinct objectives. However, the conventional methods of conflict resolution within these frameworks often rely on heuristic approaches, leading to implicit aggregation of requirements without clear acceptance or rejection protocols. This lack of transparency poses significant challenges, particularly in regulated domains where auditability is paramount.
Introduction to ArgRE
In response to these challenges, researchers have introduced ArgRE, a pioneering multi-agent requirements negotiation system that integrates Dung-style abstract argumentation into the negotiation process. This innovative system provides a structured approach to conflict resolution by treating each proposal, critique, and refinement as a distinct argument. Conflicts are visualized through directed attack relations, and the accepted set of arguments is calculated using grounded and preferred semantics.
Key Features of ArgRE
- Argument Modeling: Every aspect of the negotiation, from proposals to critiques, is formalized as an argument, enabling a rigorous framework for analysis and decision-making.
- Conflict Representation: Directed attack relations graphically depict conflicts, allowing stakeholders to visualize the negotiation landscape clearly.
- Grounded and Preferred Semantics: The system computes accepted arguments under multiple semantic frameworks, ensuring a robust resolution process.
- Integration with KAOS: ArgRE incorporates KAOS goal modeling and multi-layer verification, enhancing the overall coherence and reliability of the negotiation outcomes.
- Standards-Oriented Artifacts: The system generates artifacts that align with established standards, promoting compliance and best practices in software development.
Evaluation and Results
Extensive evaluations across five diverse case studies, encompassing safety-critical, financial, and information-system domains, demonstrate that ArgRE significantly enhances argument-level traceability, an aspect notably absent in existing frameworks. Independent evaluators assessed the decision justifications provided by ArgRE, rating them substantially higher than those derived from heuristic synthesis (4.32 compared to 3.07, p < 0.001). This indicates a marked improvement in auditability. Furthermore, the system maintains comparable semantic intent preservation, achieving a 94.9% BERTScore F1. Compliance coverage is also enhanced, with ArgRE reaching 84.7% versus 47.6% to 47.8% for baseline methods.
Structural Analysis and Conclusion
Further structural analysis reveals that the default pairwise protocol employed by ArgRE results in acyclic graphs, ensuring that grounded and preferred semantics align. Conversely, cross-pair arbitration introduces controlled cyclicity, which leads to predictable divergence between the two semantic interpretations. This nuanced understanding of argumentation in multi-agent systems not only enhances negotiation processes but also sets a new standard for transparency and accountability in software requirements management.
In conclusion, ArgRE represents a significant advancement in the field of requirements negotiation, offering a formalized, traceable, and auditable framework that addresses the complexities inherent in modern software systems.
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