Artificial Intelligence Questions and Answers – Rule Based System – 1

This set of Artificial Intelligence Multiple Choice Questions & Answers (MCQs) focuses on “Rule Based System – 1”.

1. Instead of representing knowledge in a relatively declarative, static way (as a bunch of things that are true), rule-based system represent knowledge in terms of___________ that tell you what you should do or what you could conclude in different situations.
a) Raw Text
b) A bunch of rules
c) Summarized Text
d) Collection of various Texts
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2. A rule-based system consists of a bunch of IF-THEN rules.
a) True
b) False
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3. In a backward chaining system you start with the initial facts, and keep using the rules to draw new conclusions (or take certain actions) given those facts.
a) True
b) False
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4. In a backward chaining system, you start with some hypothesis (or goal) you are trying to prove, and keep looking for rules that would allow you to conclude that hypothesis, perhaps setting new sub-goals to prove as you go.
a) True
b) False
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5. Forward chaining systems are _____________ where as backward chaining systems are ___________
a) Goal-driven, goal-driven
b) Goal-driven, data-driven
c) Data-driven, goal-driven
d) Data-driven, data-driven
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6. A Horn clause is a clause with _______ positive literal.
a) At least one
b) At most one
c) None
d) All
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7. ___________ trees can be used to infer in Horn clause systems.
a) Min/Max Tree
b) And/Or Trees
c) Minimum Spanning Trees
d) Binary Search Trees
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8. An expert system is a computer program that contains some of the subject-specific knowledge of one or more human experts.
a) True
b) False
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9. A knowledge engineer has the job of extracting knowledge from an expert and building the expert system knowledge base.
a) True
b) False
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Sanfoundry Global Education & Learning Series – Artificial Intelligence.