APPLICATION OF SUPERVISED LEARNING
ARTIFICIAL INTELLIGENCE
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Simple-action rule
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Simple &Condition-action rule
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Condition-action rule
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None of the above
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Detailed explanation-1: -14) Which rule is applied for the Simple reflex agent? Explanation: The simple reflex agent takes decisions only on the current condition and acts accordingly; it ignores the rest of history; hence it follows the Condition-action rule.
Detailed explanation-2: -Figure (7) schematic diagram of simple reflex agent. The INTERPRET – INPUT function generates an abstracted description of the current state from the percept and the RULE MATCH function returns the first rule in the set of rules that matches the given state description.
Detailed explanation-3: -A simple reflex agent doesn’t compute complex computational problems nor exhibit intelligence. A model-based agent takes actions based on historical situational experiences. It performs actions basing on its internal state.
Detailed explanation-4: -A simple reflex agent is the simplest of all the agent programs. Decisions or actions are taken based on the current percept, which does not depend on the rest of the percept history. These agents react only to the predefined rules. It works best when the environment is fully observable.