In Artificial Intelligence, Multi-Agent Systems are able to model many kinds of collective behavior and have a wide range of application. Logic is often used to model aspects of agents’ reasoning process. In this paper, we discuss social aspects of such systems. We propose a logical framework (Logic of “Inferable”) which reasons about whether a group of agents can perform an action, highlighting the concepts of action cost and budget that the group must have available in order to perform actions. The focus is on modeling the group dynamics of cooperative agents: if an agent of a group performs an action, that action to be considered as performed by the whole group, and the group can support a component agent in performing actions not affordable by that agent alone.
