By Michael Schroeder
Autonomous, Model-Based prognosis Agents surveys prolonged common sense programming and indicates how this expressive language is used to version analysis difficulties stemming from functions equivalent to electronic circuits, site visitors keep watch over, integrity checking of a chemical database, alarm-correlation in cellphone networks, prognosis of an computerized replicate furnace, and prognosis of verbal exchange protocols. The publication reports a bottom-up set of rules to take away contradiction from prolonged good judgment courses and considerably improves it by way of top-down evaluate of prolonged good judgment courses. either algorithms are evaluated within the circuit area together with the various ISCAS85 benchmark circuits.
This entire in-depth research of thoughts, architectures, and implementation of independent, model-based prognosis brokers could be of nice worth for researchers, engineers, and graduate scholars with a historical past in man made intelligence. For practitioners, it presents 3 major contributions: first, it offers many examples from various components akin 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 options and architectures introduced.
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Autonomous, Model-Based Diagnosis Agents (The Springer International Series in Engineering and Computer Science) by Michael Schroeder