Model and Analysis of Local Decision Based on Cooperative Self-Organization for Problem Solving
Résumé
This paper presents an approach based on cooperative self-organization for artificial systems, in order to tackle openness and dynamics. We propose to use cooperation as a local criterion enabling parts of the system --the cooperative agents-- to reorganize as to modify their interactions and then the global function. We underline the difficulty of defining cooperation and the means to reestablish a cooperative state within a non cooperative system. 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.