Explore abductive inferences and expectations in this 15-minute lecture by Prof. Deepak Khemani from the Department of Computer Science & Engineering at the Indian Institute of Technology Madras. Delve into key concepts of Artificial Intelligence, focusing on Knowledge Representation and Reasoning. Gain insights into how abductive reasoning is used to form hypotheses and generate expectations based on incomplete information, a crucial aspect of AI systems' decision-making processes.
Abductive Inferences and Expectations - Lecture 1.2
Overview
Syllabus
1.2 - Abductive Inferences and Expectationsa
Taught by
NPTEL-NOC IITM
Related Courses
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Symbols and Thought in Artificial Intelligence - Lecture 2.1
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Truth, Logic, and Provability in Artificial Intelligence - Lecture 2.3
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Artificial Intelligence: Knowledge Representation And Reasoning
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Artificial Intelligence: Knowledge Representation and Reasoning - Introduction
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Entailment and Proof in Artificial Intelligence - Lecture 2.5
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Patterns in Arguments - Lecture 2.7
