Скачать или смотреть Introduction to Abductive Inference

Abductive inference is a third form of inference distinct to induction and deduction. This lecture introduces abduction from a computational perspective covering basic concepts on the use of abduction in AI.

00:00:00 Introduction
00:03:34 Deduction vs. Induction vs. Abduction
00:07:09 Abduction problems, covering, and parsimony
00:16:07 Types of abduction (logic-based, set covering, probabilistic, consistency-based)
00:24:11 Geospatial abduction
00:32:40 Probabilistic horn abduction
00:38:05 Probabilistic horn abduction for perception (in 1993!)
00:43:26 Challenges and closing remarks

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The Neuro Symbolic Channel provides the tutorials, courses, and research results on one of the most exciting areas in artificial intelligence and machine learning. With content originally from the AI course taught at Arizona State University, this channel brings you the latest at the intersection of symbolic methods (e.g., logic programming) and deep learning. Learn about the latest algorithms, Python packages, and progress toward larger goals such as artificial general intelligence (AGI).