What are the fundamental principles of expert systems and how do they mimic human decision-making?

Expert systems are computer-based applications that mimic human decision-making processes by employing a set of fundamental principles. These principles enable expert systems to reason and make informed decisions in specific domains of knowledge. Here are the fundamental principles of expert systems and how they mimic human decision-making: 1. Knowledge Base: Expert systems possess a knowledge base that stores domain-specific knowledge and expertise. This knowledge is acquired from human experts and represented in a structured format, such as rules, facts, or frames. This mimics the way humans acquire and store knowledge to make decisions. 2. Inference Engine: The inference engine is the reasoning component of an expert system. It applies logical rules and algorithms to the knowledge base to draw conclusions and make decisions. It mimics the human thought process by following logica....