Autonomous, Model-Based Diagnosis Agents (The Springer by Michael Schroeder

By Michael Schroeder

Autonomous, Model-Based analysis Agents defines and describes the implementation of an structure for independent, model-based analysis brokers. It does this through constructing a good judgment programming procedure for model-based prognosis and introducing suggestions to accommodate extra advanced analysis difficulties, after which embedding the analysis framework into the agent structure of shiny brokers.
Autonomous, Model-Based prognosis Agents surveys prolonged common sense programming and exhibits how this expressive language is used to version analysis difficulties stemming from functions corresponding to electronic circuits, site visitors keep watch over, integrity checking of a chemical database, alarm-correlation in mobile phone networks, prognosis of an computerized reflect furnace, and analysis of communique protocols. The e-book reports a bottom-up set of rules to take away contradiction from prolonged common sense courses and considerably improves it by means of top-down evaluate of prolonged common sense courses. either algorithms are evaluated within the circuit area together with a number of the ISCAS85 benchmark circuits.
This entire in-depth examine of innovations, architectures, and implementation of self sufficient, model-based prognosis brokers may be of nice worth for researchers, engineers, and graduate scholars with a historical past in man made intelligence. For practitioners, it offers 3 major contributions: first, it presents many examples from assorted parts equivalent to alarm correlation in telephone networks to inconsistency checking in databases; moment, it describes an structure to strengthen brokers; and 3rd, it describes a subtle and declarative implementation of the recommendations and architectures introduced.

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