concept

probabilistic reasoning

Facts (12)

Sources

Neuro-Symbolic AI: Explainability, Challenges, and Future Trends arxiv.org arXiv Nov 7, 2024 2 facts

referenceCastañeda et al. (2023) demonstrated that human deductive reasoning and probabilistic reasoning rely on distinct neurocognitive mechanisms, and humans can suppress prior knowledge during deductive reasoning based on task requirements.

referenceAhmed et al. (2023) proposed a method using constraint decomposition to solve probabilistic reasoning problems based on the characteristics of network learning.

A Comprehensive Review of Neuro-symbolic AI for Robustness ... link.springer.com Springer Dec 9, 2025 2 facts

claimA core theme in neuro-symbolic AI research is the integration of formal logic, probabilistic reasoning, and deep learning into unified architectures.

perspectiveThe authors of the review article suggest that future neuro-symbolic systems will likely involve hybrid architectures that combine formal logic, probabilistic reasoning, and deep learning.

Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com Springer Apr 3, 2023 1 fact

referenceLiu Q, Jiang H, Evdokimov A et al. published 'Probabilistic reasoning via deep learning: Neural association models' as an arXiv preprint in 2016.

Understanding LLM Understanding skywritingspress.ca Skywritings Press Jun 14, 2024 1 fact

claimLarge language models can generate context-sensitive translations that capture linguistic meanings across four domains: probabilistic reasoning, logical and relational reasoning, visual and physical reasoning, and social reasoning.

Large Language Models Meet Knowledge Graphs for Question ... arxiv.org arXiv Sep 22, 2025 1 fact

referenceRoHT implements a two-stage explainable question-answering method that performs probabilistic reasoning based on a Hierarchical Question Decomposition Tree constructed from aggregated knowledge.

Neuro-symbolic AI - Wikipedia en.wikipedia.org Wikipedia 1 fact

referenceDeepProbLog is a neuro-symbolic implementation that combines neural networks with the probabilistic reasoning of ProbLog.

Papers - Dr Vaishak Belle vaishakbelle.github.io 1 fact

referenceN. Uperti, J. Ciupa, and Vaishak Belle authored 'Towards Developing Ethical Reasoners: Integrating Probabilistic Reasoning and Decision-Making for Complex AI Systems', published at ICAART in 2025.

Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org arXiv 1 fact

referenceZenCrowd is a system that leverages probabilistic reasoning and crowdsourcing techniques to perform large-scale entity linking, as presented by Demartini, Difallah, and Cudré-Mauroux at the 21st World Wide Web Conference in 2012.

The Synergy of Symbolic and Connectionist AI in LLM-Empowered ... arxiv.org arXiv Jul 11, 2024 1 fact

claimMarkov-logic networks allow knowledge graphs to handle uncertainty and inconsistency in data by introducing probabilistic reasoning.

A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Springer Nov 4, 2024 1 fact

claimLarge Language Models (LLMs) utilize probabilistic reasoning, which can result in indecisive or ambiguous results.