Holledge gauge failure testing using concurrent information processing algorithm

For several decades, computerized information processing systems and human information processing models have developed with a good deal of mutual influence. Any comprehensive psychology text in this decade uses terms that originated in the computer industry, such as ``cache`` and ``memory``, to describe human information processing. Likewise, many engineers today are using ``artificial intelligence``and ``artificial neural network`` computing tools that originated as models of human thought to solve industrial problems. This paper concerns a recently developed human information processing model, called ``concurrent information processing`` (CIP), and a related set of computing tools for solving industrial problems. The problem of focus is adaptive gauge monitoring; the application is pneumatic pressure repeaters (Holledge gauges) used to measure liquid level and density in the Defense Waste Processing Facility and the Integrated DWPF Melter System

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configural scoring, conjunctivity, local dependence, nonadditive items, Rasch model,

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latent response models, componential IRT, conjunctive Rasch model, incomplete data, EM algorithm, verbal ability, open synonym items,

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item response theory (IRT), polytomous item responses, essential independence, unidimensionality, latent trait identifiability, likelihood-based trait estimation, asymptotic standard errors, structural robustness, local dependence,