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An expert system mimics the expertise of an expert, such as a physician, geologist etc. An intelligent system is a system learns and acts and reaches objectives not by chance. For example while searching for a book the an intelligent system recommends books based on your and similar search patterns. So there is some similarity in terms of support in task between the two systems, however, an expert system is centered around the expertise of an expert. The other difference is the Expert System having a Knowledge base that captures the expert's knowledge, while the iintelligent system may or may not have a knowledge base. Hope this helps.

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What is the difference between expert systems and Artificail neural network systems?

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What is the difference between expert system and Artificial intelligence?

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What is the difference between human expert and expert systems?

HUMAN EXPERT-skills and knowledge an deterriote overtime.training human expert is an expensive and lengthy process that may not even gurantee good results.susceptible to emotional and psychological factors that can impair decision making.scare and typically high demand salaries. EXPERT SYSTEM-provides permanent skills and knowledge.artificial expertise from system is easily reproduced and transferred,simply by duplicating the computer program.provides consistent are reproducible results.expert system are reffered cheap to operate and maintain.


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A robot is a physical machine capable of performing tasks autonomously or semi-autonomously, often with sensors and actuators for interacting with its environment. An expert system, on the other hand, is a software program that uses artificial intelligence techniques to mimic the decision-making abilities of a human expert in a specific domain. While a robot can physically interact with the world, an expert system is purely software-based and relies on rules and knowledge bases to make decisions.


What is the difference between Human expert vs expert system?

•DSS aid in problem solving by allowing for manipulation of data & models whereas ES allow experts to 'teach' computers about their field so that the system may support more of the decision making process for less expert decision makers. • DSS most often contain equations that the system uses to solve problems or update reports immediately, and the users makes the final decisions on the basis of the information whereas an expert system works from a much larger set of modeling rules,uses concepts from AI to process and store the knowledge base & scans base to suggest a final decision decision through inference. •DSS only supports the decision making process & a human user is required to weigh all the factors in making a decision whereas ES must acquire knowledge from an expert and apply a large but standard set of probability based rules to make a decision in a specific problem setting.

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