AIMar 27, 2013

Probabilistic Inference and Probabilistic Reasoning

arXiv:1304.2364v11 citations
Originality Synthesis-oriented
AI Analysis

This work addresses the problem of incorporating uncertainty into automated reasoning, which is incremental as it builds on existing ideas about uncertainty in human cognition.

The paper explores the roles of uncertainty in human reasoning and inference, suggesting that these distinct uses of uncertainty could be relevant for automated reasoning systems.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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