Intelligent Help Systems for UNIX by Stephen J. Hegner (Editor), Paul Mc Kevitt (Editor), Peter

By Stephen J. Hegner (Editor), Paul Mc Kevitt (Editor), Peter Norvig (Editor), Robert Wilensky (Editor)

During this overseas number of papers there's a wealth of wisdom on synthetic intelligence (AI) and cognitive technological know-how (CS) strategies utilized to the matter of delivering support structures almost always for the UNIX working procedure. The examine defined right here contains the illustration of technical desktop recommendations, but in addition the illustration of ways clients conceptualise such recommendations. The assortment seems to be at computational versions and structures reminiscent of UC, Yucca, and OSCON programmed in languages reminiscent of Lisp, Prolog, OPS-5, and C which were built to supply UNIX aid. those platforms variety from being menu-based to ones with usual language interfaces, a few supplying lively aid, intervening once they think the person to have misconceptions, and a few according to empirical stories of what clients really do whereas utilizing UNIX. extra papers examine making plans and wisdom illustration the place the focal point is on researching what the consumer desires to do, and realizing how to do it, in addition to representing the data had to accomplish that. there's a major concentrate on normal language discussion the place session platforms can turn into lively, incorporating consumer modfelling, normal language new release and plan popularity, modelling metaphors, and clients' wrong ideals. a lot will be realized from seeing how AI and CS innovations might be investigated extensive whereas being utilized to a true test-bed area equivalent to assistance on UNIX.

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Pas, respectively, in the process. However, at command 3 she mis-types perqish as perquish, an error which lies latent until command 6, and uncorrected until command 19! A version of this example is tackled in a companion paper in this volume (Jones et al. 2000). pas 8 % cd 9 % cp fred1 perqish MARIA VIRVOU ET AL. #Creates a new directory ‘perqish’. #Copies ‘fred’ into the new directory #‘perqish’. #Creates a new file ‘perquish’ as a copy of #the file ‘fred1’; or was ‘perquish’ meant to #be ‘perquish’ as at the previous command?

For example, the fact that Anna had mistyped perqish to perquish could have been suspected right away, only because the typing, lexical and syntactic structure of the command containing it was very similar to the previous one, and people tend to make this kind of typing error. However, as we have seen, different aspects are very heavily interrelated, and an existing model provides additional strong constraint on the sensible interpretations. 4. Interventions Given that there is a useful point that can be made to the user, the question remains as to how, when, and on what basis to intervene.

This is done by interacting with the user in natural language. All these aspects of UC make use of knowledge represented in a knowledge representation system called KODIAK. KODIAK is a relation-oriented system that is intended to have wide representational range and a clear semantics, while maintaining a cognitive appeal. All of UC’s knowledge, ranging from its most general concepts to the content of a particular utterance, is represented in KODIAK. Keywords: agent, UNIX, consultant, natural language, intelligent interface, planning, knowledge representation, user modeling ∗ This paper is a considerably abridged version of “The Berkeley UNIX Consultant Project,” in Computational Linguistics 14(4): 35–84, Copyright ©1988 ACL and MIT Press.

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