Knowledge Tree
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Artificial intelligence is fundamentally linked to knowledge representation as it leverages cognitive science and epistemology to develop systems capable of automatic reasoning, as described in [1].
Facts (4)
Sources
Epistemology - Wikipedia en.wikipedia.org 1 fact
claimArtificial intelligence utilizes insights from epistemology and cognitive science to implement solutions for problems related to knowledge representation and automatic reasoning.
How to combine LLMs and Knowledge Graphs for enterprise AI linkedin.com 1 fact
claimOntologies assist AI systems in the representation of knowledge.
Call for Papers: KR meets Machine Learning and Explanation kr.org 1 fact
claimThe KR 2026 special track invites contributions that use Knowledge Representation (KR) methods to explain AI models, or that explain numeric and symbolic models themselves.
Neuro-symbolic AI - Wikipedia en.wikipedia.org 1 fact
claimNeuro-symbolic AI is a subfield of artificial intelligence that integrates neural methods, such as neural networks and deep learning, with symbolic methods, such as formal logic, knowledge representation, and automated reasoning.