def TableDrivenAgentProgram(table):
    """This agent selects an action based on the percept sequence.
    It is practical only for tiny domains.
    To customize it, provide as table a dictionary of all
    {percept_sequence:action} pairs. [Fig. 2.7]"""
    percepts = []
    def program(percept):
        percepts.append(percept)
        action = table.get(tuple(percepts))
        return action
    return program
def TableDrivenAgentProgram(table):
    """This agent selects an action based on the percept sequence.
    It is practical only for tiny domains.
    To customize it, provide as table a dictionary of all
    {percept_sequence:action} pairs. [Fig. 2.7]"""
    percepts = []
    def program(percept):
        percepts.append(percept)
        action = table.get(tuple(percepts))
        return action
    return program
def TableDrivenAgentProgram ( table ) : percepts = [ ] def program ( percept ) : percepts . append ( percept ) action = table . get ( tuple ( percepts ) ) return action return program
This agent selects an action based on the percept sequence.
    It is practical only for tiny domains.
    To customize it, provide as table a dictionary of all
    {percept_sequence:action} pairs. [Fig. 2.7]
This agent selects an action based on the percept sequence . It is practical only for tiny domains . To customize it provide as table a dictionary of all { percept_sequence : action } pairs . [ Fig . 2 . 7 ]