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The asynchronous searching techniques are characterized by the fact that each agent instantiates its variables in a concurrent way. Then, it sends the values of its variables to other agents directly connected to it by using messages. These asynchronous techniques have different behaviors in case of delays in sending messages. This article depicts the(More)
—Distributed Constraint programming is a programming approach used to describe and solve large classes of problems such as searching, combinatorial and planning problems. A Distributed Constraint Satisfaction is a constraint satisfaction problem in which variables and constraints are distributed among multiple agents. Modelling and simulation are essential(More)
For novice users: to obtain, in a short period of time, satisfactory outcomes out of the KDD process based on recommendations proposed by system For advanced users: to easily explore various KDD algorithms To integrate various knowledge representation models (set of rules, decision table, decision trees etc.) Extensibility Transparency and configurability(More)
The use of agent-based simulation models in NetLogo for research is growing rapidly in a number of fields of science and engineering , including in computer science, for example for analyzing the performances of asynchronous search techniques based on distributed constraints. Distributed Constraint programming (DisCSP/DCOP) is a programming approach used to(More)