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What is the difference between knowledge based system and expert system?
both of them are the same
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Answer 1. Human Experts Skills and knowledge can deterriorate over time Training human experts is an expensive and lengthy process that may not even gua…rentee good results Susceptible to emotional and psychological factors that can impair decision making Scarce and typically command high salaries Expert Systems Provides permenant expertise Artificial expertise avialable from expert systems is easily reproduced and transferred, simply by duplicating the computer program Provides consistent and reproducible results Expert Systems are relatively cheap to operate and maintain Answer 2. The difference is that human understands the variability in ambiquity and uncertainty in the open world while the expert system has to go through repeated induction and reduction of rules in its closed world view which is constraint bounded by its limited knowledge capacity to reason. An, expert system is not always learning and growing on its own but needs a human to guide its very learning of a domain and to be able to reason on facts that it already knows. But, a human is always learning and adapting to changes in the environment even facts that it does not necessarily knows already but is able to reason on them without having to rely on someones guidance as it gets older at least for the basics. In fact, a human also naturally knows where to seek guidance and where to source for more information and then to reason on things from past knowledge that it is able to retain for future. A human mind is like a massive neural network. So comparison is really between a Human Neural Network vs an expert system. Even an artificial neural network is only a very small model of the capacity of the human mind.
A computer system is a computer or a network of computers. A computer based system has computers but has other components that are connected to the computers.
importance of knowledge in expert system:1.knoledge is the enqure part of the expert system . 2.allow easy modification adding and deleting skill from the knowledge base. 3.ea…sy modification of the knowledge base is a major factor in producing a successfull programe in expert system. 4.knowledge engineering must address a range of problem. 5.through a knowledge we create one part without effecting the other. 6.user knowledge specific to to a problem domain to provide "exper quality"performance in that application area.
Answer •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 ma…y 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.
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.
Conventional programming creates solutions to help different professionals in their fields. Expert systems, on the other hand, produce solutions that replace the human pro…fessional in the field.
Answer 1. An expert system is designed to emulate the abilities and thought processes of a human expert. It is designed to solve complex problems by reasoning throug…h knowledge rather than by following the procedure of a developer, like other computer programs. Natural language processing is an entire field of computer science, not just a type of program. This field is concerned with the interactions between human languages and computers. Much of the innovation in this field of human-computer interaction is concerned with natural language understanding, or enabling computers to get meaning from human or natural language inputs. Answer 2. An expert system works on the basis of predefined rules of knowledge for inference. However, this knowledge may be quite constrained for a narrow domain case. In order, to process through a set of rules an expert system uses a form of chaining which could arise as either forward or backward mode. It may even utilize such optimized approaches as the RETE algorithm which is a type of forward chaining used in business processes. You may even extend an expert system using fuzzy logic to increase the reasoning ability from a bounds criteria of just 0 and 1 to the entire domain of approximations. In comparison, a natural language extends the idea of rules induction and specifies formalisms and algorithms towards understanding language semantics, syntax, lexical variations, pragmatics, and discourse within any given context of a domain. The idea is linked to the Turing Test which is nowadays considered to be a bit outdated in concept and needs to be reevaluated. Natural Languages Processing can involve deep and shallow parsing using not just rules but even probablistic machine learning algorithms. As result from artificial intelligence standpoint, natural language processing applications are more sophisticated and focused around computational linguistics of language and speech process engineering for a particular domain case. However, expert systems can be applied in wide case of applications but are less sophisticated as their understanding of knowledge is fairly rigid to a set of predefined if-then rules.
knowledge base system save time,cost and effort.
the difference between IK and western scientfic knpwledge is ,indegenous knowledge is unique to a particular culture and society ,where as western scientfic view is universall…y accepted .onthe other hand the western knowledge is ,scientfic ,and systematic,in addition it follows strict procedures and basic rules.
Expert systems are ones that are used to keep the business running. The executive ones will be used by those in charge when needed.
Answer Knowledge is something you know. Knowledge base is where you go to get the answers to things you do not know. Like a dictionary, a support link on a computer.
Expert systems are computerized tools designed to enhance the quality and availability of knowledge required by decision makers in a wide range of industries. They augment con…ventional programs such as databases, word processors, and spreadsheet analysis. Expert systems differ from conventional applications software in the following ways: o The expert system shell, or interpreter. o The existence of a "knowledge base," or system of related concepts that enable the computer to approximate human judgment. o The sophistication of the user interface. While any conventional programming language can be used to build a knowledge base, the expert system shell simplifies the process of creating a knowledge base. It is the shell that actually processes the information entered by a user; relates it to the concepts contained in the knowledge base; and provides an assessment or solution for a particular problem. The main purpose of the knowledge base is to provide the guts of the expert system--the connections between ideas, concepts, and statistical probabilities that allow the reasoning part of the system to perform an accurate evaluation of a potential problem. Knowledge bases are traditionally described as large systems of "if then" statements, but this description is misleading because knowledge bases may not contain definitive rules at all, but may contain only associative relationships among different concepts, statistical information about the probability of certain solutions, or simply large databases of facts that can be compared to one another based on simple conventions intrinsic to the expert system.
Disadvantages of knowledge-based systems
Knowledge management is the ability a person has to use information or data efficiently and honestly. Information system management is the capacity of a computer to connect a …network of computers through a local or metropolitan area network or through the world wide web.