Probabilistic Inference and Probabilistic Reasoning

TL;DR

This paper explores how uncertainty influences human reasoning and how these concepts can be applied to improve automated reasoning systems by modeling probabilistic inference and reasoning.

Contribution

It introduces a framework for integrating probabilistic inference and reasoning into automated systems, addressing the dual roles of uncertainty in human cognition.

Findings

Uncertainty plays a significant role in human reasoning.

Probabilistic models can enhance automated reasoning.

The paper proposes a new approach to incorporate uncertainty.

Abstract

Uncertainty enters into human reasoning and inference in at least two ways. It is reasonable to suppose that there will be roles for these distinct uses of uncertainty also in automated reasoning.