By D R Diercks; U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering Technology.; Argonne National Laboratory.; et al

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It can collaborate with its user to improve the accomplishment of his/her tasks or can carry out such tasks on the user's behalf. In so doing, it employs some knowledge or representation of the user's goals or desires. It can monitor events or procedures for the user, can advise the user on how to perform a task, can train or teach the user, or can help different users collaborate. The behavior of the agent is based on a correspondence between the external application domain of the agent and an internal model of this domain consisting of a knowledge base and an inference engine (see Figure I).

If the expert accepted the reduction and it was obtained by applying the plausible upper bound condition of a rule, then the plausible lower bound condition of the rule is generalized to cover this reduction. If the reduction is rejected by the expert, then the agent will attempt to find an explanation of why the reduction is not correct (as described above), and will use this explanation to augment the applied rule with EXCEPT-WHEN conditions. : A tutoring based approach to intelligent agents 25 to uncover the negative example.

Learning may be also postponed for some of these examples. This training scenario encourages and facilitates knowledge reuse between different parts of the problem space, as has been experienced in the workaround domain. For instance, many of the rules corresponding to the AVLB bridges have been either generalized to apply to the bridges of types MGB and Bailey, or have been analogically used to generate examples and explanations to learn new rules for MGB and Bailey. These rules have been further generalized to apply to the floating bridges, or have been analogically used to generate examples and explanations to learn new rules for floating bridges.

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Steam generator tube integrity program by D R Diercks; U.S. Nuclear Regulatory Commission. Office of Nuclear Regulatory Research. Division of Engineering Technology.; Argonne National Laboratory.; et al


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