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Simple reflex agents respond directly to perception i.e. simple reflex agents act only on the basis of the current perception, ignoring the rest of the perception history. The agent function is based on the condition-action rule:if condition then action.
This agent function only succeeds when the environment is fully observable. Infinite loops are often unavoidable for simple reflex agents operating in partially observable environments.
Goal-based agents act to achieve their goals i.e.this allows the agent a way to choose among multiple possibilities, selecting the one which reaches a goal state.
A simple agent program can be defined mathematically as an agent function which maps every possible percepts sequence to a possible action the agent can perform or to a coefficient, feedback element, function or constant that affects eventual actions.
An agent is specified by an agent function f that maps sequences of percepts Y to actions A,f :Y->A
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