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Download e-book for kindle: Autonomous, Model-Based Diagnosis Agents by Michael Schroeder

By Michael Schroeder

ISBN-10: 1461376297

ISBN-13: 9781461376293

ISBN-10: 1461557399

ISBN-13: 9781461557395

Autonomous, Model-Based analysis Agents defines and describes the implementation of an structure for self sustaining, model-based analysis brokers. It does this via constructing a common sense programming process for model-based analysis and introducing concepts to accommodate extra complicated analysis difficulties, after which embedding the prognosis framework into the agent structure of brilliant brokers.
Autonomous, Model-Based analysis Agents surveys prolonged good judgment programming and indicates how this expressive language is used to version prognosis difficulties stemming from functions reminiscent of electronic circuits, site visitors regulate, integrity checking of a chemical database, alarm-correlation in cell phone networks, analysis of an automated reflect furnace, and analysis of verbal exchange protocols. The e-book reports a bottom-up set of rules to take away contradiction from prolonged common sense courses and considerably improves it through top-down assessment of prolonged common sense courses. either algorithms are evaluated within the circuit area together with a number of the ISCAS85 benchmark circuits.
This accomplished in-depth learn of suggestions, architectures, and implementation of self reliant, model-based prognosis brokers can be of significant price for researchers, engineers, and graduate scholars with a history in man made intelligence. For practitioners, it offers 3 major contributions: first, it presents many examples from various components equivalent to alarm correlation in cellphone networks to inconsistency checking in databases; moment, it describes an structure to boost brokers; and 3rd, it describes a cosmopolitan and declarative implementation of the techniques and architectures introduced.

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33 alarm(btsI9,pemjailure). omuJinkJail) . missing). alarm( bts20,pemjail). omuJinkJail). missing). alarm (bts21 ,pemjail). omuJinkJail). Some alarms. As long as there are no alanns the model is consistent. If alanns are generated and received by the BSC the constraints are violated and removing the contradictions yields the correct diagnoses of the problem. 14. The burst of messages is difficult to survey for a human operator, though the most probable explanation by revision is fairly easy: microwave link m116 is abnormal.

The following lemma ensures that for intermediate nodes n there is a conflict of P that contains H(n). 23 Let P be a program and n a node in a hitting-set tree such that n is not a leaf Then there is a conflict C of P such that H(n) C C. To put it in other words, we can revise the literals of H(n) and still obtain another conflict. Thus we add {L I not L E H (n )} to P and generate a conflict to expand the current node. 21 by modifying the latter to contain conflict generation as an integral part.

If the predictions differ from the observations the default assumptions are revised to remove the contradiction. In contrast to other approaches model-based diagnosis enjoys several advantages: 1. Due to their declarative nature model-based diagnosis systems are easy to extend and to maintain. 2. No heuristics are needed and diagnoses can be explained without the recourse to rules of thumb. 3. Models are often already available from a constructor. 4. The model can predict the system's future states in advance and also explain unforeseen and unknown failures.

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Autonomous, Model-Based Diagnosis Agents by Michael Schroeder

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