Podcast
Questions and Answers
What is the difference between an agent program and an agent function?
What is the difference between an agent program and an agent function?
- An agent program has lookup tables, an agent function doesn't
- An agent program depends on future percepts, an agent function doesn't
- An agent program returns an action, an agent function takes percepts as input
- An agent program considers the entire percept history, an agent function doesn't (correct)
What type of data does an agent program take as input?
What type of data does an agent program take as input?
- Future percepts
- The current percept (correct)
- The entire percept history
- Random percepts
Why does an agent program take only the current percept as input?
Why does an agent program take only the current percept as input?
- To simplify the code
- Because the entire percept history is not available (correct)
- To save memory space
- Because it is more efficient
Why is the table-driven approach to agent construction considered doomed to failure?
Why is the table-driven approach to agent construction considered doomed to failure?
Why would a lookup table for chess, a well-behaved fragment of the real world, have at least 10^150 entries?
Why would a lookup table for chess, a well-behaved fragment of the real world, have at least 10^150 entries?
In the context of agent design, what does T represent?
In the context of agent design, what does T represent?
What potential issue arises when a simple reflex agent is driving behind a car with an older model?
What potential issue arises when a simple reflex agent is driving behind a car with an older model?
In the scenario described for the simple reflex vacuum agent, what action is mentioned as failing forever if the agent starts in square A?
In the scenario described for the simple reflex vacuum agent, what action is mentioned as failing forever if the agent starts in square A?
Why are infinite loops often unavoidable for simple reflex agents in partially observable environments?
Why are infinite loops often unavoidable for simple reflex agents in partially observable environments?
How does a simple reflex vacuum agent escape from infinite loops in the context described in the text?
How does a simple reflex vacuum agent escape from infinite loops in the context described in the text?
What percepts does a simple reflex vacuum agent have according to the text?
What percepts does a simple reflex vacuum agent have according to the text?
Why would a simple reflex agent driving behind an older car potentially brake continuously and unnecessarily?
Why would a simple reflex agent driving behind an older car potentially brake continuously and unnecessarily?
What is mentioned in the text as a potential problem with determining if the car in front is braking?
What is mentioned in the text as a potential problem with determining if the car in front is braking?
How does a simple reflex agent avoid infinite loops according to the text?
How does a simple reflex agent avoid infinite loops according to the text?
What is mentioned as the percepts for a simple reflex vacuum agent?
What is mentioned as the percepts for a simple reflex vacuum agent?
