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Additional info for Agents and Artificial Intelligence: 7th International Conference, ICAART 2015, Lisbon, Portugal, January 10-12, 2015, Revised Selected Papers
Constraints can be deﬁned in extension or as a Boolean function. Diﬀerent types of constraints are predeﬁned: equal to eq(Mi , Mj ), diﬀerent from ne(Mi , Mj ), greater than or equal ge(Mi , Mj ), greater than gt(Mi ; Mj ),etc. In this sub-problem there is 1 complex agent A3 which controls exactly 3 variables. 14}. 2 after deﬁning our sub-problem we can conﬁgure our solver. Once the sub-problem is generated, we can test the functioning of the platform in a physically distributed environment. So we chose machines that simulate the diﬀerent agents of the problem, and ﬁled each sub-problem in a machine, before launching it.
And ﬁnally, in Sect. 6 we conclude the paper by experiment this platform within a real Distributed and Dynamic Constraints Satisfaction Problems. 1 I. Benelallam et al. Preliminaries Distributed Constraint Satisfaction Problems Constraint Programming distinguishes between the description of the constraints involved in a problem on the one hand, and the algorithms and heuristics used to solve the problem on the other hand. Modeling and solving problems is through a very elegant mathematical formalism, called the Constraint Satisfaction Problems CSPs.
Choco is a platform for research in centralized constraint programming and combinatorial optimization. This choice of Choco enabled us to beneﬁt from the modules already implemented in it. In the next section, we will study the diﬀerent elements of JChoc platform. org/. 26 I. Benelallam et al. Fig. 2. The JChoc architecture. 2 JChoc Architecture JChoc architecture is motivated by FIPA speciﬁcations, it allows the development of multiagent systems and applications conforming to MAS standards. It is implemented in JAVA and provides classes that implement and inherit from JADE and Choco platforms to deﬁne the behavior of speciﬁc agents.