Introduction
Artificial Intelligence is transforming the world, enabling machines to perform tasks that typically require human intelligence, such as decision-making, pattern recognition, and problem-solving.
Last updated
Artificial Intelligence is transforming the world, enabling machines to perform tasks that typically require human intelligence, such as decision-making, pattern recognition, and problem-solving.
Last updated
The term AI is composed of two words: "artificial," meaning man-made, and "intelligence," referring to thinking power. Therefore, AI can be understood as "man-made thinking power."
For the purposes of this book, an intelligent agent is one that solves a problem optimally. This means that the system determines the best course of action independently, figuring out what will lead to the most successful outcome.
Learning from experience: The agent keeps track of its actions and evaluates whether they lead to positive or negative outcomes. It then uses this knowledge to compare new actions with past experiences.
Simulating outcomes: Before taking action, the agent can simulate possible outcomes (whether the action is good or bad) and choose the least harmful or most beneficial one. This requires an abstraction, or model, of the world. It’s important to note that a model of the world is just a representation, not the world itself.
There’s a lot of confusion today surrounding the terms artificial intelligence, machine learning, and deep learning. In fact, these terms are interconnected, with machine learning and deep learning being specific parts (or rather subsets) of artificial intelligence.
Interestingly, once a problem is fully solved by AI, it's often no longer considered "intelligent." For example, teaching a computer to play chess was once seen as the pinnacle of intelligence. Today, however, it's a routine task, and no longer regarded as a particularly advanced demonstration of AI.
