A Methodology and Experiments towards Autonomous Decision Making
James Y. Xu, Connor Branch, Yingxu Wang · 2020
One of the key challenges to AI is autonomous Decision Making (DM). This paper strives towards a formal approach to model cognitive DM in order to enable AI machines to conduct autonomous DM. On the basis of the theoretical models for rational decisions and rigorous DM developed in our Lab, we implement a set of algorithms for autonomously handling primitive, single, and serial decisions rigorously. An autonomous DM supporting tool is designed and implemented based on the algorithms. Experiments on various decision problems have demonstrated the capability of the tool and the methodology in many cases beyond those of human DM outcomes in both complexity and speed.