Abstract
Certain methods for managing complex business rules, such as those in enterprise performance management, may rely on fragmented tools that can lack the capability to model cross-domain impacts of proposed changes, which can lead to siloed decision-making and manual governance processes. Systems and methods are described that can utilize a multi-agent architecture to provide an interactive simulation environment, or sandbox, for business rule lifecycle management. Specialized software agents, for example data quality, planning, governance, and triage agents, may collaborate to support tasks from initial data validation to automated testing and deployment. A simulation engine can provide feedback on the cascading effects of adjustments made within a unified modeling canvas. This approach may allow users to proactively model, test, and understand the multi-dimensional impact of changes to an interconnected set of business rules prior to their implementation, which can facilitate a more integrated management of complex, rule-based domains.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Ganaba, Marim; Gatlin, Jeannette; Moore, Dearbhla; Smeltzer, Jarred; Kempson, Allen; Ishikawa, Kenneth; and Pineda, Alex, "Multi-Agent System for Interactive Modeling and Lifecycle Management of Business Rules", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/9218