In this paper, we examine the use of self-stabilizing algorithms, operating in a hierarchical manner, to determine intellectual property risks at a macro level. We are both interested in finding a solution that will support all defined intellectual property dimensions as well as suboptimal solutions in order to minimize risk.

翻译：本文研究了以分层方式运行的自稳定算法在宏观层面判定知识产权风险的应用。我们既关注能够支持所有已定义知识产权维度的解决方案，也关注旨在最小化风险的次优解决方案。