How AI Becomes Field of Study
The emergence of AI as a field of study can be traced back to several key developments and disciplines: 1. Computational Theory : Alan Turing's work in the 1930s laid the groundwork for the theoretical possibility of artificial intelligence. His concept of a universal machine (Turing machine) and the idea of "thinking machines" spurred interest in the potential for computers to exhibit intelligent behavior. 2. Early Research : In the 1950s and 1960s, researchers like John McCarthy, Marvin Minsky, Herbert Simon, and Allen Newell began formalizing the concept of AI as a distinct field. They explored topics such as problem-solving, symbolic reasoning, and machine learning. 3. Symbolic AI : Symbolic AI, also known as "good old-fashioned AI" (GOFAI), focused on representing knowledge in a symbolic form and using logic-based approaches to reasoning. Early AI systems, like expert systems, were built on this paradigm. 4. Machine Learning : The rise of mac...