Series of questions used to determine how realistic an AI is
A bot that tries to act like a human to maximize the value of its scoring measure
Four actions in Vacuum Cleaner World (separate by spaces)
What is PEAS an acronym for
Do the rules of the activity change often
Environment Types
Does the AI need to remember its past experiences
Environment Types
Does the AI have all the information it needs
Environment Types
Are there mulitple agents trying to achieve the same goal
Environment Types
Are there a finite number of states
Environment Types
Does the AI care about randomness
Environment Types
Makes decisions based on the current world and state
Agent Types
Makes decisions based on what makes the agent the happiest
Agent Types
Makes decisions only knowing about the current world
Agent Types
Makes decisions based on a goal rather than conditions
Agent Types
Hint
Answer
Extra
Agent knows which state it will be in (sequence)
Problem Types
Percepts provide new info about the state
Problem Types
Online
Problem Types
Agent doesnt know which state it will be in (sequence)
Problem Types
Deterministic and Fully Observable
Problem Type types
Non-Observable
Problem Type types
Unknown
Problem Type types
Nondeterministic/Partially Observable
Problem Type types
State is defined by variables x with values from D. Goal test is a set of constraints specifying allowable combinations of values for subsets of variables
Are discrete CSPs over finite and infinite domains (yes/no)
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