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Questions and Answers
What is the decision-making approach of a Simple Reflex agent?
In which type of environment do Simple Reflex agents succeed?
What is a limitation of the Simple Reflex agent design approach?
Which type of agent works on the basis of the current percepts and ignores the rest of the percept history?
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What kind of agent works only if certain conditions are met, such as a Room Cleaner agent working only if there is dirt in the room?
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What type of agent works on the basis of the current percepts and ignores the rest of the percept history?
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In which type of environment do Simple Reflex agents succeed?
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What is the decision-making approach of a Simple Reflex agent?
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Which type of agent has the capability to improve its performance over time?
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What is a limitation of the Simple Reflex agent design approach?
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Which type of agent takes decisions based on the current percepts and ignores the percept history?
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Which type of agent works on the Condition-action rule?
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Which type of agent is limited in intelligence and only succeeds in fully observable environments?
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Which type of agent can improve its performance and generate better action over time?
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Which type of agent considers knowledge of non-perceptual parts during decision and action processes?
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Study Notes
Simple Reflex Agents
- Simple Reflex agents make decisions based on the current percepts and ignore the rest of the percept history.
- They succeed in fully observable environments.
- The decision-making approach of a Simple Reflex agent is based on the current percepts and ignores the rest of the percept history.
- A limitation of the Simple Reflex agent design approach is that it is limited in intelligence and only succeeds in fully observable environments.
Other Types of Agents
- A Condition-action agent works on the basis of the Condition-action rule.
- A Room Cleaner agent is an example of a Condition-action agent, which works only if certain conditions are met, such as the presence of dirt in the room.
- A Learning agent has the capability to improve its performance over time.
- An Intelligent agent considers knowledge of non-perceptual parts during decision and action processes.
- An Intelligent agent can improve its performance and generate better actions over time.
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Description
Test your knowledge of intelligent agents with this quiz. Explore the different classes of agents, including simple reflex agents, model-based reflex agents, goal-based agents, utility-based agents, and learning agents. See how well you understand their capabilities and potential for improvement over time.
