An approach based on BDI architecture for space occupation

Space occupation covers a class of problems as well asserting of constraint satisfaction and optimization approaches. The used methods tend to privilege one of two aspects (optimization or satisfaction) and do not lead to a complete solution. In spite of these methods success in certain problems under constraints, it is interesting to consider new ways of design, in particular to use methods resulting from Artificial Intelligence (A.I) techniques. In order to evaluate possible solutions for this problem, we propose, in this study, to use an approach based on the paradigm of Intelligent Agents. This result in design and implementation of a new problem solver for space occupation under constraints.