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IGCSE Computer Science Paper 1 · Modules 652–661

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A free printable IGCSE Computer Science Paper 1 definitions worksheet with 10 key terms, built from the key terms of 6.2 Robotics and 6.3 Artificial Intelligence (Modules 652–661) — Writing exam answers about robotics, Artificial intelligence (AI), Intelligent behaviour in a computer, The two types of AI in this course, AI characteristic: a collection of data and rules, AI characteristic: the ability to reason and more. Print it or save it as a PDF — the answer key starts on its own page. No login needed.

IGCSE Computer Science Paper 1 Definitions Worksheet: 6.2 Robotics and 6.3 Artificial Intelligence (Modules 652–661)

Name:
Date:
Class:

Key terms

Write what each term means, in your own words.

1
key terms and reasons
2
artificial intelligence
3
intelligent behaviour
4
Two types of AI: expert systems and machine learning
5
collection of data and rules
6
reasoning
7
learn and adapt
8
Characteristics of AI
9
identify AI characteristics
10
expert system

Answer Key

IGCSE Computer Science Paper 1 · Modules 652–661 · Student wording will vary for definitions
1key terms and reasons — Use the key terms robot, sensor, microprocessor, actuator and program correctly, and link each point to a reason, e.g. a robot is programmable so it can repeat a task.
2artificial intelligence — A branch of computer science dealing with the simulation of intelligent behaviour by computers. The computer imitates intelligence; it is not alive.
3intelligent behaviour — A computer does a task that normally needs human thinking, like diagnosing a fault or choosing a game move, but it only simulates thinking and does not truly understand.
4Two types of AI: expert systems and machine learning — The 0478 course covers only two types of AI. An expert system uses stored facts and rules to give advice. Machine learning learns from data to improve. Other kinds of AI are not examined.
5collection of data and rules — An AI system stores data (facts) and rules that say how to use them, such as a medical system matching symptoms to illnesses. Data without rules is not AI.
6reasoning — An AI system reasons when it applies its rules to its data to work out a new conclusion that was not stored directly, instead of just looking up a saved answer.
7learn and adapt — An AI characteristic where a system changes its own behaviour as it gains new data or experience, so it improves over time. Some AI systems can do this, but it is not required.
8Characteristics of AI — The three main characteristics of AI are a collection of data and rules, the ability to reason, and possibly the ability to learn and adapt. Learning and adapting is optional.
9identify AI characteristics — Read a scenario and find the data and rules, the reasoning, and any learning. Then quote evidence from the description, using the word because to link each quote to the characteristic it shows.
10expert system — An AI system that uses the knowledge and rules of human experts to give advice or answers on one specialist subject. It asks the user questions and gives a conclusion.

Modules this definitions worksheet covers

Every module has its own free printable worksheet with an answer key, and students can practise the same terms interactively on Cloodit.

Part of: IGCSE Computer Science 0478 — 6.2 Robotics, IGCSE Computer Science 0478 — 6.3 Artificial Intelligence

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