IGCSE Computer Science Paper 1 Word Scramble: 6.3 Artificial Intelligence (Modules 662–678)
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Word scramble
Unscramble the letters and write each key term on the line.
1
ETAILCSSIP OKGEDNELW
The expert knowledge that expert systems supply in areas like medical diagnosis, fault finding, mineral prospecting and financial advice, so the user does not need to be an expert.
2
LDKWNEGEO ABSE
The part of an expert system that stores facts and information about a subject, gathered from human experts. It can be updated with new facts. The rule base holds the rules.
3
ULRE ASBE
The part of an expert system holding IF-THEN rules (IF condition THEN conclusion) that link facts to conclusions, often joined with AND/OR, which the inference engine uses to reach answers.
4
EFCNNRIEE NEIGEN
The part of an expert system that reasons: it matches the user's answers and the knowledge base against the rule base to reach a conclusion. It is the 'brain' of the system.
5
EURS TCAFIEENR
The part of an expert system the user sees. It shows questions, lets the user enter answers and facts, and displays the conclusion in a simple way for non-experts.
6
ARECT NA XTPERE ESTMSY
Follow the user's answers through the IF-THEN rules in order, checking which rules fire and which do not, until one rule gives the final conclusion.
7
CNIAEMH INELNARG
A type of AI where a program automatically adapts its own processes and/or data, improving with experience, with no programmer changing it.
8
PTDIVAEA RSECSOPES
A machine learning program changes its own processes, meaning how it makes decisions, using what happened before, so no human has to rewrite the code.
9
UIPT-ADESLNGF ATAD
A machine learning program changes its own stored data by adding, updating or removing items as it meets new cases, e.g. spam marked by users, and uses that data in later decisions.
10
IAYSFSCL IA YSESTM
Decide if a system gives advice from a knowledge base and rule base (expert system) or changes its own processes or data (machine learning), then justify with because.
11
IA MESTYS NAITPOOER
Naming the parts of an AI system, what each does, and how they work together to take input, reason on data and rules or learn, and output a result that simulates intelligence.
12
EKY REMT + ERAOSN
Use exact key terms (data, rules, reasoning, knowledge base, rule base, inference engine, interface, machine learning) and link each point to a reason.
Answer Key
IGCSE Computer Science Paper 1 · Modules 662–678
1ETAILCSSIP OKGEDNELW → specialist knowledge — The expert knowledge that expert systems supply in areas like medical diagnosis, fault finding, mineral prospecting and financial advice, so the user does not need to be an expert.
2LDKWNEGEO ABSE → knowledge base — The part of an expert system that stores facts and information about a subject, gathered from human experts. It can be updated with new facts. The rule base holds the rules.
3ULRE ASBE → rule base — The part of an expert system holding IF-THEN rules (IF condition THEN conclusion) that link facts to conclusions, often joined with AND/OR, which the inference engine uses to reach answers.
4EFCNNRIEE NEIGEN → inference engine — The part of an expert system that reasons: it matches the user's answers and the knowledge base against the rule base to reach a conclusion. It is the 'brain' of the system.
5EURS TCAFIEENR → user interface — The part of an expert system the user sees. It shows questions, lets the user enter answers and facts, and displays the conclusion in a simple way for non-experts.
6ARECT NA XTPERE ESTMSY → trace an expert system — Follow the user's answers through the IF-THEN rules in order, checking which rules fire and which do not, until one rule gives the final conclusion.
7CNIAEMH INELNARG → machine learning — A type of AI where a program automatically adapts its own processes and/or data, improving with experience, with no programmer changing it.
8PTDIVAEA RSECSOPES → adaptive processes — A machine learning program changes its own processes, meaning how it makes decisions, using what happened before, so no human has to rewrite the code.
9UIPT-ADESLNGF ATAD → self-updating data — A machine learning program changes its own stored data by adding, updating or removing items as it meets new cases, e.g. spam marked by users, and uses that data in later decisions.
10IAYSFSCL IA YSESTM → classify AI system — Decide if a system gives advice from a knowledge base and rule base (expert system) or changes its own processes or data (machine learning), then justify with because.
11IA MESTYS NAITPOOER → AI system operation — Naming the parts of an AI system, what each does, and how they work together to take input, reason on data and rules or learn, and output a result that simulates intelligence.
12EKY REMT + ERAOSN → key term + reason — Use exact key terms (data, rules, reasoning, knowledge base, rule base, inference engine, interface, machine learning) and link each point to a reason.