Decision diagrams (DDs) have emerged as a powerful tool in the field of combinatorial optimization, providing innovative ways to model and solve complex decision-making problems. Over the past ...

Decision tree analysis involves making a tree-shaped diagram to chart out a course of action or a statistical probability analysis. It is used to break down complex problems or branches. Each branch ...

MQT DDSIM - A quantum circuit simulator based on decision diagrams written in C++ ...

This is the 9th semester project for implementing the Baum-Welch (BW) algorithm using Algebraic Decision Diagrams (ADD).

Chocolate or strawberry? Life or death? We make some choices quickly and automatically, relying on mental shortcuts our brains have developed over the years to guide us in the best course of action.

This paper makes the following contributions: (1) A spiking neural network (SNN) is used to model human decision-making neural circuit from both connectome and functional perspectives. (2) The ...

This study explores the moderating effect of self-concept clarity on the influence of future self-continuity on intertemporal decision-making and the mediating effect of future outcome consideration, ...

By leveraging AI, companies can streamline their data operations while increasing speed and accuracy in decision-making. Effective data management extends beyond simple storage—it requires real ...

Mathematical technique 'opens the black box' of AI decision-making by Jeff Renaud, University of Western Ontario Schematic representation of the cv-RNN.