A system configured for training an artificial intelligence unit (AIU) for an automated vehicle (EGO), with said artificial intelligence unit (AIU) comprising a knowledge configuration (KC), with said artificial intelligence unit (AIU) determining an evaluation value for at least two motion actions (mal, ma2, ma3) for the automated vehicle (EGO) considering an input state (IS, s1 - s5) and considering the knowledge configuration (KC), said input state (IS, s1 - s5) characterizing the automated vehicle (EGO) and at least one other road user (RU1, RU2), and said system configured to: determine a number of possible future motion actions of the at least one other road user (RU1, RU2), store the number of possible future motion actions in the knowledge configuration (KC), wherein said artificial intelligence unit (AIU) determines the evaluation value for the at least two motion actions (mal, ma2, ma3) for the automated vehicle (EGO) such that the first motion action (ma1) is determined to have a higher evaluation value than the second motion action (ma2) if the first motion action (ma1) provides the at least one other road user (RU1, RU2) with a higher number of possible future motion actions out of the number of possible future motion actions than the second motion action, select one motion action (ma) from the at least two motion actions, (mal, ma2, ma3), considering the evaluation value of the respective motion actions (mal, ma2, ma3), the selected motion action (ma) being an action to be executed by the automated vehicle (EGO), and train the artificial intelligence unit (AIU) by adapting the knowledge configuration (KC) of the artificial intelligence unit (AIU) considering the selected motion action (ma), wherein said knowledge configuration (KC) characterizes at least an empowerment of the at least one other road user (RU1, RU2), wherein the empowerment of the at least one other road user (RU) is at least characterized by the number of possible future motion actions of the at least one other road user (RU1, RU2). determine a number of possible future motion actions of the at least one other road user (RU1, RU2), store the number of possible future motion actions in the knowledge configuration (KC), wherein said artificial intelligence unit (AIU) determines the evaluation value for the at least two motion actions (mal, ma2, ma3) for the automated vehicle (EGO) such that the first motion action (ma1) is determined to have a higher evaluation value than the second motion action (ma2) if the first motion action (ma1) provides the at least one other road user (RU1, RU2) with a higher number of possible future motion actions out of the number of possible future motion actions than the second motion action, select one motion action (ma) from the at least two motion actions, (mal, ma2, ma3), considering the evaluation value of the respective motion actions (mal, ma2, ma3), the selected motion action (ma) being an action to be executed by the automated vehicle (EGO), and train the artificial intelligence unit (AIU) by adapting the knowledge configuration (KC) of the artificial intelligence unit (AIU) considering the selected motion action (ma), wherein said knowledge configuration (KC) characterizes at least an empowerment of the at least one other road user (RU1, RU2), wherein the empowerment of the at least one other road user (RU) is at least characterized by the number of possible future motion actions of the at least one other road user (RU1, RU2). <EOS>