Method for classifying test subjects in knowledge and functional

Data processing: artificial intelligence – Knowledge processing system

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706 52, G06F 1518

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active

058550119

ABSTRACT:
A method for classifying a test subject in one of a plurality of states in a domain, a domain being a set of facts, a quality measure, or a combination of the two. The set of facts for a knowledge domain is any set of facts while the set of facts for a functionality domain is a set of facts relating to the functionality of a test subject. A state is characterized by a subset of facts, a value for a quality measure, or a combination of a subset of facts and a value for a quality measure. A first state is higher than or equal to a second state and a second state is lower than or equal to a first state if (1) the subset of facts or the quality measure value associated with the first state respectively includes the subset of facts or is greater than or equal to the quality measure value associated with the second state or (2) the subset of facts and the quality measure value associated with the first state respectively includes the subset of facts and is greater than or equal to the quality measure value associated with the second state. Decision-theoretic rules are specified for selecting the test items to be administered to a test subject, for determining when it is appropriate to stop administering test items, and for determining the classification of the test subject. A test subject is classified in the highest state of which he has the knowledge or functionality.

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