Model and analysis of local decision based on cooperative self-organization for problem solving

This paper presents an approach based on cooperative self-organization for artificial systems, in order to tackle openness and dynamics. In this work, cooperation is used as a local criterion enabling parts of the system –the cooperative agents– to reorganize as to autonomously modify their interactions and then the global function. The difficulty in defining cooperation and the means to reestablish a cooperative state within a non cooperative system are underlined and analyzed. Two cooperative agents’ behaviors are expounded, at the boundary between altruism and selfishness. This approach is also illustrated by modeling, from a local viewpoint, a classical constraint satisfaction or optimization problems.