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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