AI vs Expert System
AI (artificial intelligence) is a broad field of computer science that focuses on the creation of intelligent machines that can work and react like humans. AI systems include a variety of subsets such as machine learning, natural language processing (NLP), and robotics. AI systems are generally built to autonomously complete a range of tasks.
Expert systems, on the other hand, are a type of AI system that focuses on specific domains. They are used to simulate the decision-making process of a human expert in a given domain and provide solutions to problems. Expert systems are typically knowledge-based, meaning they use a set of rules and facts to infer conclusions. They are generally used in fields such as medical diagnosis, legal advice, and financial analysis.
In summary, AI is a broad term used to describe a range of computer science disciplines, while expert systems are a subset of AI that focuses on simulating the decision-making process of a human expert.
AI (artificial intelligence) is a broad field of computer science that focuses on the creation of intelligent machines that can work and react like humans. AI systems include a variety of subsets such as machine learning, natural language processing (NLP), and robotics. AI systems are generally built to autonomously complete a range of tasks.
Expert systems, on the other hand, are a type of AI system that focuses on specific domains. They are used to simulate the decision-making process of a human expert in a given domain and provide solutions to problems. Expert systems are typically knowledge-based, meaning they use a set of rules and facts to infer conclusions. They are generally used in fields such as medical diagnosis, legal advice, and financial analysis.
In summary, AI is a broad term used to describe a range of computer science disciplines, while expert systems are a subset of AI that focuses on simulating the decision-making process of a human expert.