Modeling Application Scenarios for Responsible Autonomy using Computational Transcendence

With the prevalence of autonomous agents which should act responsibly, multiple computational models of responsible autonomy have been proposed. We explore the use of one such model called Computational Transcendence (CT) which is based on modeling an elastic sense of self as a means for emerging responsible autonomy. We discuss how this model can be applied to realistic applications. The first application is on decision-making in multi-agent supply chains, and the second is on adaptive signalling in a road network. In both these applications, we compare CT with several baseline models and find improvement across multiple application-specific metrics. Through this paper, we aim to foster increased research interest in computational transcendence, as a means for architecting responsible multi-agent autonomy for different real-world applications.