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Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence
The current generation of symbolic reasoning techniques excel at the qualitative tasks (i.e., when the answer is Yes or No); such techniques sufficed for traditional systems whose design sought to achieve deterministic behavior. In contrast, modern computing systems crucially rely on the statistical methods to account for the uncertainty in the environment, and to reason about behavior of these systems, there is need to look beyond qualitative symbolic reasoning techniques. We will discuss ourdoi:10.24963/ijcai.2022/813 fatcat:rfun5tt6ijhb5jfpawmdq2abiy