We propose an approach to this problem of conflict: via defaults and reasoning about such precedence, drawn from knowledge representation and commonsense reasoning. We initially developed this approach in previous work. Here, we elaborate it, abstract it to a more conceptual level, and present it for a machine learning audience. Also, we abstract it away from the details of, and dependency on, one particular non-monotonic logical formalism.
We see the value of this approach not as being all-embracing, but as
providing a step towards elements of future approaches to
advice-taking and instruction.
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