Lecture 07-08: Knowledge-Based Agents | Logic, Inference, Entailment & Model Checking
Muhammad Farooq, Ph.D.
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Lecture 07-08: Knowledge-Based Agents | Logic, Inference, Entailment & Model Checking
335 просмотров · 2 недели назад
Muhammad Farooq, Ph.D.
1,24 тыс. подписчиков
335 просмотров · 2 недели назад
Topics Covered
What is a Knowledge-Based Agent?
Knowledge Representation in AI
Knowledge Base (KB)
Propositional Logic
Logical Symbols and Connectives
Models in Knowledge Representation
Entailment (⊨)
Inference and Logical Reasoning
Model Checking Algorithm
How AI derives new knowledge
Implementing logical reasoning in Python
Real-world reasoning example
Using model_check() with different queries
By the end of this lecture, you should understand how an AI agent can store knowledge, examine possible worlds, perform inference, and determine whether a conclusion logically follows from its knowledge base.
Artificial Intelligence, AI, Knowledge-Based Agents, Knowledge Representation, Propositional Logic, Logical Reasoning, Inference, Entailment, Model Checking, Knowledge Base, Python AI, AI Programming, AI Course, Machine Learning, CS50 AI.
#ArtificialIntelligence #AI #KnowledgeRepresentation #KnowledgeBasedAgents #PropositionalLogic #LogicalReasoning #Python #AIProgramming #Inference #MachineLearning