Probabilistic Results on the Architecture of Mathematical Reasoning Aligned by Cognitive Alternation

TL;DR

This paper proposes a probabilistic architecture for mathematical reasoning, dividing the reasoning system into thought and cognitive processes, aiming to advance machine problem-solving capabilities.

Contribution

It introduces a novel probabilistic framework for the architecture of mathematical reasoning, emphasizing the separation of thought and cognitive processes.

Findings

Probabilistic descriptions of reasoning architecture

Division of reasoning into thought and cognitive processes

Framework aims to improve machine mathematical problem solving

Abstract

We envision a machine capable of solving mathematical problems. Dividing the quantitative reasoning system into two parts: thought processes and cognitive processes, we provide probabilistic descriptions of the architecture.