Download e-book for iPad: From Fault Classification to Fault Tolerance for Multi-Agent by Katia Potiron, Amal El Fallah Seghrouchni, Patrick

By Katia Potiron, Amal El Fallah Seghrouchni, Patrick Taillibert

Faults are a priority for Multi-Agent structures (MAS) designers, in particular if the MAS are outfitted for business or army use simply because there needs to be a few warrantly of dependability. a few fault type exists for classical platforms, and is used to outline faults. while dependability is at stake, such fault category can be utilized from the start of the system’s belief to outline fault periods and specify which varieties of faults are anticipated. therefore, one will want to use fault class for MAS; in spite of the fact that, From Fault class to Fault Tolerance for Multi-Agent Systems argues that operating with self sustaining and proactive brokers implies a distinct research of the faults almost certainly happening within the approach. in addition, the sector of Fault Tolerance (FT) presents various equipment tailored to address other forms of faults. a few dealing with tools were studied in the MAS area, adapting to their specificities and services yet expanding the big volume of feet tools. for this reason, until being a professional in fault tolerance, it's tricky to settle on, evaluation or examine fault tolerance tools, combating loads of constructed purposes from not just to being extra friendly to take advantage of yet, extra importantly, from at the least being tolerant to universal faults. From Fault category to Fault Tolerance for Multi-Agent Systems indicates that specification part instructions and fault handler experiences may be derived from the fault category extension made for MAS. From this angle, fault type can develop into a unifying idea among fault tolerance equipment in MAS.

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6 Preliminary Conclusion 35 Plus, from a study we made on time redundancy [5], it seems that contrary to what would be expected, fault tolerance methods used for conventional systems cannot guarantee the handling of behavioral faults because of the fundamental difference of assumptions made when interacting with autonomous agents. But such methods can be adapted to handle the behavioral faults without losing the handling possibilities for conventional faults [6]; this will be explained in the next chapter.

A timeout or a comparison between the observed behavior and the expected one). This serves to avoid agents waiting endlessly for a message, and to detect a fault before any other action is carried out locally (at the considered conversation level). Moreover, we consider that the agent must have the opportunity to assess fault handler usefulness with regard to its current internal state. Thus agents must have handlers adapted to their knowledge level, and some knowledge of how to choose and use them and we will provide that information in the next sections.

Phenomenological cause: – Natural; autonomy does not allow a human being to dictate its behavior to the agent (by definition). • Objective: – Non-malicious; (examples 3 and 4); – Malicious; (examples 1, 2, 5 and 6). • Capability: – Deliberate; results from the decision of an agent. • Persistence: – Transient; if the decision context is bounded in time (examples 1, 3 and 5); – Permanent; (examples 2, 4 and 6). This classification is represented by the tree of fault classes number 32–37 on Fig.

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