Situation recognition in RoboCup gets more and more important to enhance team behavior strategies. In this paper we present an approach for a cooperative situation recognition architecture which directly influences the game strategy of the own team. The presented situation recognition architecture is derived from the human archetype to recognize situations by a combination of learned knowledge and observation of the environment. Humans only consider a limited number of situation interpretations for certain environmental scenes. We transfer that concept and introduce Situation Libraries as an analogous approach for computer systems. Consequently for every recognized situation a cooperative team behavior is defined. This will effectively enhance the team play and the ability of a team to adapt its behavior to the strategies of an opponent and to the current game state.