Expert Systems
Akopọ
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.
Awọn Afojusun
- 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.
Akọ̀wé Ẹ̀kọ́
O wa lori ohun elo Green Bridge
Gba ohun elo Green Bridge CBT sori foonu tabi kọmputa rẹ lati ri awọn akọsilẹ ẹkọ ni kikun, awọn ibeere adaṣe, ati diẹ sii.
Ìdánwò Ẹ̀kọ́
Oriire fun ipari ẹkọ lori Expert Systems. Ni bayi ti o ti ṣawari naa awọn imọran bọtini ati awọn imọran, o to akoko lati fi imọ rẹ si idanwo. Ẹka yii nfunni ni ọpọlọpọ awọn adaṣe awọn ibeere ti a ṣe lati fun oye rẹ lokun ati ṣe iranlọwọ fun ọ lati ṣe iwọn oye ohun elo naa.
Iwọ yoo pade adalu awọn iru ibeere, pẹlu awọn ibeere olumulo pupọ, awọn ibeere idahun kukuru, ati awọn ibeere iwe kikọ. Gbogbo ibeere kọọkan ni a ṣe pẹlu iṣaro lati ṣe ayẹwo awọn ẹya oriṣiriṣi ti imọ rẹ ati awọn ogbon ironu pataki.
Lo ise abala yii gege bi anfaani lati mu oye re lori koko-ọrọ naa lagbara ati lati ṣe idanimọ eyikeyi agbegbe ti o le nilo afikun ikẹkọ. Maṣe jẹ ki awọn italaya eyikeyi ti o ba pade da ọ lójú; dipo, wo wọn gẹgẹ bi awọn anfaani fun idagbasoke ati ilọsiwaju.
- 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
O wa lori ohun elo Green Bridge
Gba ohun elo Green Bridge CBT sori foonu tabi kọmputa rẹ lati ri awọn akọsilẹ ẹkọ ni kikun, awọn ibeere adaṣe, ati diẹ sii.
O wa lori ohun elo Green Bridge
Gba ohun elo Green Bridge CBT sori foonu tabi kọmputa rẹ lati ri awọn akọsilẹ ẹkọ ni kikun, awọn ibeere adaṣe, ati diẹ sii.
Awọn Iwe Itọsọna Ti a Gba Nimọran
Ṣe Adaṣe Awọn Ibeere Idanwo Adaṣe
Ṣe o fẹ ṣe adaṣe awọn ibeere idanwo adaṣe nipa Expert Systems? Ṣe igbasilẹ ohun elo Green Bridge CBT lati wọle si awọn ibeere idanwo adaṣe ati awọn ayẹwo adaṣe kikun fun koko-ọrọ yii.
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