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Many Scientists has given many definitions about Artificial Intelligence . In simple, Artificial Intelligence is nothing but Machine with mind. Artificial Intelligence is a field, which combines computer science and robust datasets, to enable problem-solving. Specific applications of AI include Expert systems, Natural Language processing, Speech recognition and Machine vision.
In general, AI systems work by ingesting large amounts of labeled training data, analyzing the data for
correlations and patterns, and using these patterns to make predictions about future states. AI is the backbone of innovation in modern computing, unlocking value for individuals and businesses by helping to automate processes and providing insights into large datasets.
AI simulates human intelligence by relying on algorithms to understand human goals or methods to achieve those goals. It establishes a relationship between goal seeking, data processing and acquisition for better understanding of the goal. Taking that into consideration, the following are 4 approaches of AI.
1. Acting humanly- When a computer acts perfectly like a human being, and it is difficult to differentiate between two by using technologies such as natural language processing, automated reasoning, machine learning and automated reasoning.
2. Thinking humanly – When a computer thinks just as a human and performs tasks usually performed with human intelligence such as driving a car. The method to determine how humans think, cognitive modeling approach is used based on three techniques- Introspection, Psychological testing, and Brain imaging.
3. Thinking rationally- The typical study of how human thinks use some standards helping in creating a guideline of human behavior. A person is considered rational (reasonable, sensible, and with a good sense of judgment) and the computer thinks rationally as per the recorded behavior and solves problems logically.
4. Acting Rationally- The study of how humans act in uncertainty or complexity relies completely on rational agents. As with rational thought, actions depend on conditions, environmental factors, and existing data to maximize the expected value of its performance.