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Knowledge Representation in AI by DavidRaju is a document available to read on EtoBox.

This document outlines the syllabus and course outcomes for a B.Tech. course on Artificial Intelligence, specifically focusing on knowledge representation. It details various approaches to knowledge representation, including relational knowledge, logic-based representation, procedural knowledge, and inheritable knowledge, along with their applications and challenges. The document also emphasizes the importance of representational, inferential, and acquisitional adequacy in knowledge representation systems.

Author
DavidRaju
Language
EN