Inside case-based explanation
Lawrence Erlbaum Assoc., May 1, 1994 - Computers - 416 pages
This book is the third volume in a series that provides a hands-on perspective on the evolving theories associated with Roger Schank and his students. The primary focus of this volume is on constructing explanations. All of the chapters relate to the problem of building computer programs that can develop hypotheses about what might have caused an observed event. Because most researchers in natural language processing don't really want to work on inference, memory, and learning issues, most of their sample text fragments are chosen carefully to de-emphasize the need for non text-related reasoning. The ability to come up with hypotheses about what is really going on in a story is a hallmark of human intelligence. The biggest difference between truly intelligent readers and less intelligent ones is the extent to which the reader can go beyond merely understanding the explicit statements being communicated. Achieving a creative level of understanding means developing hypotheses about questions for which there may be no conclusively correct answer at all. The focus of the lab, during the period documented in this book, was to work on getting a computer program to do that. The volume adopts a case-based approach to the construction of explanations which suggests that the main steps in the process of explaining a given anomaly are as follows: * Retrieve an explanation that might be relevant to the anomaly. * Evaluate whether the retrieved explanation makes sense when applied to the current anomaly. * Adapt the explanation to produce a new variant that fits better if the retrieved explanation doesn't fit the anomaly perfectly.
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The Explanation Game
List of Tables
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Abby Abby's absts Accepter's action actor adaptation agent anomaly detection answer apply AQUA behavior beliefs Brainstormer case-based explanation case-based reasoning causal caused Checking concepts constraint content theory counterplan cues current situation defmop defun described domain evaluation event example expectations expl Explanation Patterns explanation process fact failure feature extraction filler frame function goal conflict HANK GATHERS hypothesis impacts inference input instance intentional chain Janis Joplin Jim Fixx knowledge goals knowledge structures labeling terms layoffs learning LEBANESE m-animal m-swale match memory Micro SWALE module needs outcome PALESTINIAN REFUGEES particular planation planner prediction problem proverb query racehorses reasoning redescription relevant representation result retrieval questions role role-filler Schank script slots specific stereotypical story strategies SUICIDE BOMBING Swale's death task terrorist attack theme theory tion trying tweak tweaker understanding vocabulary XP retrieval