Introduction to IA #13 - knowledge representation

TH-cam description for the video:
🎥 How Does Artificial Intelligence Represent Knowledge? 🎥
In this video we explore one of the fundamental pillars of artificial intelligence: the representation of knowledge. From symbolic systems to neural networks, we will discover how AI processes and stores data, information and knowledge to make decisions.
🔍 What will you find in this video?
What is knowledge? Differences between data, information and knowledge.
Symbolic representation vs. Connectionist: How to understand the different types of AI?
Expert systems and neural networks: Since the beginnings of AI, it has had modern approaches.
Logic, semantic networks and ontologies: Symbolic methods to structure knowledge.
Patron-based AI: How neural networks and statistical models learn without explicit rules.
Hybrid models: The combination of symbolic and connectionist to improve artificial intelligence.
💡 With clear examples and comparisons between human thinking and artificial processing, this video will help you understand how AI simulates knowledge and logical inference.
🌟 Special invitation 🌟
👉 We want to know your opinion!
Do you believe that AI can understand knowledge as a human being?
Do you prefer symbolic systems or connectionists?
✨ Share your thoughts and questions in the comments. The best ones will appear in future videos!
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🎬 Next themes: We will delve deeper into logical inference and the combination of AI models to achieve more advanced reasoning.
📌 Tags:
#ArtificialInteligence #Conocimiento #SistemasExpertos #RedesNeuronales #AprendizajeAutomático #IA #CienciaDeData #Lógica #Tecnología #FilosofíaDeLaIA
✨ Discover how AI transforms the way we represent knowledge. 🌐