What is the difference between knowledge based system and expert system?
both of them are the same
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Answer . â¢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 m…ay support more of the decision making process for less expert decision makers.. â¢ . 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.. â¢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..
Expert systems are ones that are used to keep the business running.The executive ones will be used by those in charge when needed.
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.
Answer 1. Human Experts . Skills and knowledge can deterriorate over time . Training human experts is an expensive and lengthy process thatmay not even guarentee good r…esults . Susceptible to emotional and psychological factors that canimpair decision making . Scarce and typically command high salaries Expert Systems . Provides permenant expertise . Artificial expertise avialable from expert systems is easilyreproduced and transferred, simply by duplicating the computerprogram . Provides consistent and reproducible results . Expert Systems are relatively cheap to operate andmaintain Answer 2. The difference is that human understands the variability inambiquity and uncertainty in the open world while the expert systemhas to go through repeated induction and reduction of rules in itsclosed world view which is constraint bounded by its limitedknowledge capacity to reason. An, expert system is not alwayslearning and growing on its own but needs a human to guide its verylearning of a domain and to be able to reason on facts that italready knows. But, a human is always learning and adapting tochanges in the environment even facts that it does not necessarilyknows already but is able to reason on them without having to relyon someones guidance as it gets older at least for the basics. Infact, a human also naturally knows where to seek guidance and whereto source for more information and then to reason on things frompast knowledge that it is able to retain for future. A human mindis like a massive neural network. So comparison is really between aHuman Neural Network vs an expert system. Even an artificial neuralnetwork is only a very small model of the capacity of the humanmind.
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.
the funny thing is that there is no difference lol!!! hahahahahahaha!!! lolololololololololololololol
Conventional programming creates solutions to help differentprofessionals in their fields. Expert systems, on the other hand,produce solutions that replace the human professio…nal in the field.
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 emoti…onal 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.
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.
Usually, yes they are. An Knowledge base system is used to sort out a ll database of knowledge by asking a series of simply question to get the answer you need. An expert syst…em operates basically the same way. The only difference might be in that an expert system tends to be a little smarter and anticipate the answer by software routines that will reject sections of knowledge you dont' need - while a knowledge base system can do that - but is normally not more than a Search engine that tries to narrow done your possible choices until you arrive at the one good answer..
Structured knowledge Systems : Systems for organizing structured knowledge in a repository where it can be accessed throughout the organization.
A general-purpose search mechanism could rely on elementary reasoning steps to find complete solutions and could use weak knowledge about domain. However, when weak methods f…ailed, researchers finally realised that the only way to deliver practical results was to solve typical cases in narrow areas of expertise by making large reasoning steps.
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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.…easy 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 1. An expert system is designed to emulate the abilities and thoughtprocesses of a human expert. It is designed to solve complexproblems by reasoning through knowledge… rather than by followingthe 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 theinteractions between human languages and computers. Much of theinnovation in this field of human-computer interaction is concernedwith natural language understanding, or enabling computers to getmeaning from human or natural language inputs. Answer 2. An expert system works on the basis of predefined rules ofknowledge for inference. However, this knowledge may be quiteconstrained for a narrow domain case. In order, to process througha set of rules an expert system uses a form of chaining which couldarise as either forward or backward mode. It may even utilize suchoptimized approaches as the RETE algorithm which is a type offorward chaining used in business processes. You may even extend anexpert system using fuzzy logic to increase the reasoning abilityfrom a bounds criteria of just 0 and 1 to the entire domain ofapproximations. In comparison, a natural language extends the ideaof rules induction and specifies formalisms and algorithms towardsunderstanding language semantics, syntax, lexical variations,pragmatics, and discourse within any given context of a domain. Theidea is linked to the Turing Test which is nowadays considered tobe a bit outdated in concept and needs to be reevaluated. NaturalLanguages Processing can involve deep and shallow parsing using notjust rules but even probablistic machine learning algorithms. Asresult from artificial intelligence standpoint, natural languageprocessing applications are more sophisticated and focused aroundcomputational linguistics of language and speech processengineering for a particular domain case. However, expert systemscan be applied in wide case of applications but are lesssophisticated as their understanding of knowledge is fairly rigidto a set of predefined if-then rules.
what are different expert system and robotic
An expert system focuses on simulating the abilities and actions involving humans while artificial intelligence isn't geared specifically towards humans. Artificial intelligen…ce is a branch of computer science which focuses on making something "intelligent."