By Michael Schroeder
Autonomous, Model-Based prognosis Agents surveys prolonged good judgment programming and exhibits how this expressive language is used to version prognosis difficulties stemming from functions equivalent to electronic circuits, site visitors keep watch over, integrity checking of a chemical database, alarm-correlation in cell phone networks, prognosis of an automated replicate furnace, and analysis of verbal exchange protocols. The booklet stories a bottom-up set of rules to take away contradiction from prolonged common sense courses and considerably improves it via top-down overview of prolonged good judgment courses. either algorithms are evaluated within the circuit area together with a few of the ISCAS85 benchmark circuits.
This finished in-depth examine of strategies, architectures, and implementation of self sufficient, model-based prognosis brokers could be of nice price for researchers, engineers, and graduate scholars with a historical past in synthetic intelligence. For practitioners, it offers 3 major contributions: first, it offers many examples from assorted parts similar to alarm correlation in cell networks to inconsistency checking in databases; moment, it describes an structure to enhance brokers; and 3rd, it describes a subtle and declarative implementation of the options and architectures introduced.
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Extra info for Autonomous, Model-Based Diagnosis Agents (The Springer International Series in Engineering and Computer Science)
Autonomous, Model-Based Diagnosis Agents (The Springer International Series in Engineering and Computer Science) by Michael Schroeder
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