JChoc DisSolver - Bridging the Gap Between Simulation and Realistic Use

The development of innovative and intelligent multiagent applications based on Distributed Constraints Reasoning techniques is obviously a fastidious task, especially to tackle new combinatorial problems (e.i. distributed resource management, distributed air traffic management, Distributed Sensor Network (Béjar et al., 2005)). However, there are very few open-source platforms dedicated to solve such problems within realistic uses. Given the difficulty that researchers are facing, simplifying assumptions and simulations uses are commonly used techniques. Nevertheless, these techniques may not be able to capture all the details about the problem to be solved. Hence, transition from the simulation to the actual development context causes a loss of accuracy and robustness of the applications to be implemented. In this paper, we present preliminary results of a new distributed constraints programming platform, namely JChoc DisSolver. Thanks to the extensibility of JADE communication model and the robustness of Choco Solver, JChoc brings a new added value to Distributed Constraints Reasoning. The platform is user-friendly and the development of multiagent applications based on Constraints Programming is no longer a mystery to