About this document
Knowledge Representation in AI by SHREYA BHUVAD is a document available to read on EtoBox.
The document discusses knowledge-based agents, their architecture, and the levels of knowledge representation in artificial intelligence, including propositional and predicate logic. It covers various methods for representing knowledge, such as semantic networks and frame representation, and explains inference techniques like forward and backward chaining. Additionally, it addresses planning in AI, emphasizing the importance of decision-making and action sequences to achieve goals.
- Author
- SHREYA BHUVAD
- Language
- EN