[{"_1":2,"_42":-5,"_43":-5},"loaderData",{"_3":4,"_10":11,"_40":-5,"_41":-5},"root",{"_5":-5,"_6":-5,"_7":-5,"_8":9},"user","shoppingCartId","toast","locale","en","routes/_store+/_readers+/email_author.$slug/route",{"_12":13,"_39":-5},"book",{"_14":15,"_16":17,"_18":19,"_20":21,"_22":23,"_24":25},"id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvNjAyNzQ","title","The Chronicles of AI: A Journey for Artificial Intelligence","state","published","contactAuthorMethod","email","aboutText","

Artificial intelligence (AI) is a field of computer science that seeks to develop systems and machines capable of performing tasks that traditionally require human intelligence. These tasks include learning, reasoning, decision making, pattern recognition, natural language processing, and more. The goal is to create systems that can simulate the learning and adaptive capacity of human minds, in order to solve complex problems and perform tasks autonomously.

History and Evolution of AI

The history of AI goes back many centuries, but it was in the 20th century that it really began to develop as a field of study. The term \"artificial intelligence\" was coined in 1956 by John McCarthy during the Dartmouth Conference, considered the founding landmark of the camp.

In the 1950s and 1960s, AI was characterized by logical and symbolic approaches, focusing on computer programs that manipulated symbols to represent knowledge and solve problems.

In the 1980s and 1990s, the knowledge-based AI approach was popular with the creation of specialist systems that contained specific knowledge in certain fields. These systems showed promising results, but also faced limitations in scalability and flexibility.

The late 1990s and early 2000s brought the resurgence of machine learning, an approach that allows AI systems to learn from data rather than be explicitly programmed. This paved the way for significant advances in the area, driven by the growth of available data and increased computational power.

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