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🤖 AI Khoj se Samasya Samadhan | Introduction to Search Algorithms

Is video mein hum samjhenge ki AI agents problems ko kaise solve karte hain by finding a sequence of actions that lead to a goal. DFS, BFS aur real examples ke saath yeh video search algorithms ka perfect introduction simple Hinglish mein provide karti hai.

🔍 What You Will Learn
📌 Agents aur States

Agent kya hota hai: koi bhi entity jo environment ko perceive kare aur actions perform kare

State ka matlab: agent ki environment me current configuration

AI problem solving ko states aur actions ke form me model karna

📌 Uninformed Search Algorithms

Depth First Search (DFS)

Stack ka use karta hai

Last In First Out (LIFO) principle

Deep exploration pe focus

Breadth First Search (BFS)

Queue ka use karta hai

First In First Out (FIFO) principle

Level by level search

DFS aur BFS ke pros aur cons real examples ke saath

📌 Case Study

Maze solve karna jise search problem ki tarah treat kiya ja sakta hai

15 Puzzle jisme goal tak pahunchne ke liye actions ka correct sequence dhoondhna padta hai

Kaise search algorithms step by step solution find karte hain

🧠 Why This Matters

Search algorithms AI ki foundation hain. Ye help karte hain

Navigation

Puzzle solving

Planning problems

Robotics and game AI

Yeh video AI problem solving ka strong conceptual start deti hai.

🎯 Keywords (SEO Optimized)

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