Podcast
Questions and Answers
What is the simplest form of learning applied to artificial intelligence?
What is the simplest form of learning applied to artificial intelligence?
What is rote learning?
What is rote learning?
Memorizing individual items and procedures
What does generalization involve?
What does generalization involve?
Applying past experience to analogous new situations
A program that learns the past tense of 'jump' without encountering 'jumped' can generalize.
A program that learns the past tense of 'jump' without encountering 'jumped' can generalize.
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What are the two classifications of inferences in reasoning?
What are the two classifications of inferences in reasoning?
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What sensory organs are involved in perception?
What sensory organs are involved in perception?
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An object's appearance can change depending on the viewing angle.
An object's appearance can change depending on the viewing angle.
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What was FREDDY?
What was FREDDY?
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Where was FREDDY built?
Where was FREDDY built?
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What was FREDDY capable of doing?
What was FREDDY capable of doing?
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Language is limited to spoken words.
Language is limited to spoken words.
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What is an example of a mini-language?
What is an example of a mini-language?
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Study Notes
Learning
- Several forms of learning exist in AI
- Simplest is trial-and-error learning
- Example: a chess program tries random moves until a checkmate is found, then stores the solution for later use
- Memorizing is easy to implement in computers
- Generalization is more complex
- Generalization applies past experience to new situations
- Example: a program that learns regular English verb past tense by rote won't be able to produce "jumped" unless it's seen "jump" first
- Generalization uses patterns to learn the "add -ed" rule for any verb
- Program learns the past tense based on experience with similar verbs
Reasoning
- Reasoning is drawing inferences appropriate to a situation
- Inferences can be either deductive or inductive
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Description
Explore the fundamental concepts of learning and reasoning in artificial intelligence. This quiz covers various learning methods, including trial-and-error and generalization, as well as the types of reasoning. Test your understanding and see how AI applies these principles to real-world scenarios.
