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Summary Artificial Intelligence (AI) is a part of everyday tools like facial recognition, voice assistants, and video recommendations. It works by mimicking human abilities—specifically learning, reasoning, and perception—so that machines can learn from data and improve on their own instead of needing every step programmed manually. Artificial Intelligence, commonly known as AI, is already a part of our daily lives. You might not always notice it, but you likely interact with

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Large Language Models (LLMs) like ChatGPT, Claude, or Gemini hold and process huge anmount of information, but they do not make use of database.

Let's take an example of GPS navigation system :

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If you've ever taken an introductory computer science or formal logic course, you've likely spent time working with Propositional Logic. It’s clean, elegant, and forms the bedrock of Boolean algebra and digital circuit design.

If you have played a game of Rock-Paper-Scissors, setting a price for an item on eBay, or deciding to compromise or not to compromise during an argument .......all these are examples where Game Theory can be used to decide yout strategy.

Today, chess programs can defeat the world's best grandmasters in seconds. But long before high-speed supercomputers and smartphones existed, someone had to figure out how to get a mechanical device to play chess in the first place. Claude Shannon, a mathematician known as the father of modern information theory had built one of the world's earliest mechanical chess-playing machines in the year 1950. Unlike modern microchips, Shannon's invention was a bulky contraption made

Have you ever wondered how people, companies, or smart computer algorithms make decisions when their success depends on someone else’s choice? Welcome to Game Theory!

In competitive situations, strategy isn't just about trying to outsmart an opponent—it's also about finding stability. That point of balance is what game theorists call Equilibrium.