An Explicit Representation of Forgetting

A pervasive, yet much ignored, factor in the analysis of processing failures is the problem of misorganized knowledge. If a system’s knowledge is not indexed or organized correctly, it may make an error, not because it does not have either the general capability or specific knowledge to solve a problem, but rather because it does not have the knowledge sufficiently organized so that the appropriate knowledge structures are brought to bear on the problem at the appropriate time. In such cases, the system can be said to have “forgotten” the knowledge, if only in this context. This is the problem of forgetting or retrieval failure.

This research presents an analysis along with a declarative representation of a number of types of forgetting errors. Such representations can extend the capability of introspective failure-driven learning systems, allowing them to reduce the likelihood of repeating such errors. Examples are presented from the Meta-AQUA program, which learns to improve its performance on a story understanding task through an introspective meta-analysis of its knowledge, its organization of its knowledge, and its reasoning processes.

Read the paper:

An Explicit Representation of Forgetting

by Mike Cox, Ashwin Ram

6th International Conference on Systems Research, Informatics and Cybernetics, Baden-Baden, Germany, August, 1992.
www.cc.gatech.edu/faculty/ashwin/papers/er-92-06.pdf
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