Being able to ensure that a multiagent system will not generate undesirable behaviors is essential within the context of critical applications (embedded systems or real-time systems). The emergence of behaviors from the agents interaction can generate situations incompatible with the expected system execution. The standard methods to validate a multiagent system do not prevent the occurrence of undesirable behaviors during its execution in real condition. We propose a complementary approach of dynamic self-monitoring and self-regulation allowing the agents to control their own behavior. This paper goes on to present the automatic generation of self-controlled agents. We use the observer approach to verify that the agents behavior respects a set of laws throughout the system execution.
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