We define a probe to be a single action sequence computed greedily from a given state that either terminates in the goal or fails. We show that by designing these probes carefull...
We consider the problem of solving a symmetric, positive definite system of linear equations. The most well-known and widely-used method for solving such systems is the preconditi...
In this paper we propose a novel message-passing algorithm, the so-called Action-GDL, as an extension to the Generalized Distributive Law algorithm (GDL) [1] to efficiently solve...
Stochastic programming problems appear as mathematical models for optimization problems under stochastic uncertainty. Most computational approaches for solving such models are base...
— Granular computing unifies structured thinking, structured problem solving and structured information processing. In order to see the flexibility and universal applicability ...