Titlebook: Intelligent Help Systems for UNIX; Stephen J. Hegner,Paul Mc Kevitt,Robert Wilensky Book 2000 Springer Science+Business Media Dordrecht 20

excrete

Preface Intelligent Help Systems for UNIXind. However, nothing can be further from our intention. Indeed, UNIX aficionados looking for immediate relief are apt to be disappointed with this collection of papers. We hope AI researchers will not be.

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Book 2000to the problem of providing help systems mainly forthe UNIX operating system. The research described here involves therepresentation of technical computer concepts, but also therepresentation of how users conceptualise such concepts. Thecollection looks at computational models and systems such as UC

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TOXIC

難聽(tīng)的聲音

Editorial Intelligent Help Systems for UNIX: Natural Language Dialogueapacities in this dimension. Instead, work here has evolved more intimately within the context of consultation systems, a topic seldom dealt with by other natural language systems. Nevertheless, the issues discussed are of general concern within natural language processing.

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Plan Realization for Complex Command Interaction in the UNIX Help Domain representation techniques employed in Yucca-*. It then examines in detail the plan generation mechanism which is used to solve complex dynamic queries. Particular emphasis is placed upon those aspects of the problem which are unique to this particular domain.

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What Do You Know about Mail? Knowledge Representation in the SINIX Consultanttion for explaining the concept to the user. The description of commands in the SINIX Knowledge Base which is mainly used in order to generate tutorial explanations and advice for the user, and the main ideas of describing SINIX objects are outlined in this paper.

FILLY

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Using Justification Patterns to Advise Novice UNIX Usersendent knowledge structures that are similar to the abstract knowledge structures used to understand the point behind a story. These justification patterns allow the advisor to understand and formulate novel belief justifications, giving the advisor the ability to recognize and respond to novel misconceptions.