Expert Systems
Gbogbo ọrọ náà
How can a computer diagnose a tropical disease, advise where to drill for oil, or play chess at grandmaster level? Not by being clever in some general way, but by carrying the bottled knowledge of human experts and applying it through cold, consistent logic. That is an expert system: software that mimics the decision making of a specialist in one narrow field, asking you questions and reasoning towards a conclusion the way the expert would.
In this lesson you will meet the five parts that every expert system is built from, follow the chain of yes and no answers that leads to a diagnosis, and see real uses from medicine to mineral prospecting. You will also weigh the genuine advantages, speed, accuracy and tireless consistency, against the real drawbacks, high cost, cold responses and the danger of trusting a machine too much.
Ebumnobi
- Expert systems.
- Characteristics, uses and purpose of expert systems including mineral prospecting, car engine fault diagnosis, medical diagnosis, chess games, financial planning, route scheduling for delivery vehicles, plant and animal identification Components of an expert system: user interface, inference engine, knowledge base, rules base, explanation system How an expert system is used to produce possible solutions for different scenarios.
Akọmọ Ojú-ẹkọ
Ọ dị na ngwa Green Bridge
Budata ngwa Green Bridge CBT na ekwentị maọbụ kọmputa gị iji nweta akwụkwọ ndụmọdụ zuru oke, ajụjụ mmụta, na ndị ọzọ.
Ayẹwo Ẹkọ
Ekele diri gi maka imecha ihe karịrị na Expert Systems. Ugbu a na ị na-enyochakwa isi echiche na echiche ndị dị mkpa, ọ bụ oge iji nwalee ihe ị ma. Ngwa a na-enye ụdị ajụjụ ọmụmụ dị iche iche emebere iji kwado nghọta gị wee nyere gị aka ịmata otú ị ghọtara ihe ndị a kụziri.
Ị ga-ahụ ngwakọta nke ụdị ajụjụ dị iche iche, gụnyere ajụjụ chọrọ ịhọrọ otu n’ime ọtụtụ azịza, ajụjụ chọrọ mkpirisi azịza, na ajụjụ ede ede. A na-arụpụta ajụjụ ọ bụla nke ọma iji nwalee akụkụ dị iche iche nke ihe ọmụma gị na nkà nke ịtụgharị uche.
Jiri akụkụ a nke nyocha ka ohere iji kụziere ihe ị matara banyere isiokwu ahụ ma chọpụta ebe ọ bụla ị nwere ike ịchọ ọmụmụ ihe ọzọ. Ekwela ka nsogbu ọ bụla ị na-eche ihu mee ka ị daa mba; kama, lee ha anya dị ka ohere maka ịzụlite onwe gị na imeziwanye.
- Which component of an expert system stores the facts about the field of expertise? A. Inference engine B. Knowledge base C. Rules base D. User interface Answer: B
- The IF ... THEN inference rules used to draw conclusions are held in the: A. Knowledge base B. Explanation system C. Rules base D. User interface Answer: C
- Which component tells the user the reasoning behind a conclusion and its probability? A. Inference engine B. Explanation system C. Knowledge base D. Rules base Answer: B
- Which of the following is NOT a typical use of an expert system? A. Medical diagnosis B. Mineral prospecting C. Word processing a letter D. Car engine fault diagnosis Answer: C
- Which is a disadvantage of an expert system? A. It gives a fast response B. It is only as good as the facts entered C. Its results are consistent D. It can store vast amounts of facts Answer: B
Ọ dị na ngwa Green Bridge
Budata ngwa Green Bridge CBT na ekwentị maọbụ kọmputa gị iji nweta akwụkwọ ndụmọdụ zuru oke, ajụjụ mmụta, na ndị ọzọ.
Ọ dị na ngwa Green Bridge
Budata ngwa Green Bridge CBT na ekwentị maọbụ kọmputa gị iji nweta akwụkwọ ndụmọdụ zuru oke, ajụjụ mmụta, na ndị ọzọ.
Àwọn Ìwé Tó Dáa Láti Kà
Meecha Ajụjụ Ule Ọmarịcha
Ị chọrọ ime ajụjụ ule ọmarịcha gbasara Expert Systems? Budata ngwa Green Bridge CBT iji nweta ajụjụ ule ọmarịcha na nyocha zuru ezu gbasara isiokwu a.
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Ihe nile ichoro iji nwee ihe ịga nke ọma na JAMB, WAEC & NECO.
