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Intelligent Help Systems for UNIX [Hardcover]

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


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Book Description

0792366417 978-0792366416 May 31, 2001
In this international collection of papers there is a wealth of knowledge on artificial intelligence (AI) and cognitive science (CS) techniques applied to the problem of providing help systems mainly for the UNIX operating system. The research described here involves the representation of technical computer concepts, but also the representation of how users conceptualise such concepts. The collection looks at computational models and systems such as UC, Yucca, and OSCON programmed in languages such as Lisp, Prolog, OPS-5, and C which have been developed to provide UNIX help. These systems range from being menu-based to ones with natural language interfaces, some providing active help, intervening when they believe the user to have misconceptions, and some based on empirical studies of what users actually do while using UNIX. Further papers investigate planning and knowledge representation where the focus is on discovering what the user wants to do, and figuring out a way to do it, as well as representing the knowledge needed to do so. There is a significant focus on natural language dialogue where consultation systems can become active, incorporating user modfelling, natural language generation and plan recognition, modelling metaphors, and users' mistaken beliefs. Much can be learned from seeing how AI and CS techniques can be investigated in depth while being applied to a real test-bed domain such as help on UNIX.

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Product Details

  • Hardcover: 424 pages
  • Publisher: Springer (May 31, 2001)
  • Language: English
  • ISBN-10: 0792366417
  • ISBN-13: 978-0792366416
  • Product Dimensions: 9.5 x 6 x 1.1 inches
  • Shipping Weight: 1.8 pounds
  • Amazon Best Sellers Rank: #7,452,711 in Books (See Top 100 in Books)

More About the Author

I live in Palo Alto, CA with my wife and two children. I am currently the Director of Research for Google, and I am teaching an Intro AI class at Stanford and online for the world. You can buy some of my books here at Amazon.

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Inside This Book (learn more)
First Sentence:
The title of this book is probably misleading in a number of ways.  Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
directory named foo, user modelling component, current user model, concretion mechanism, active help system, primal input, help passwd, simile format, goal analyzer, file named foo, intelligent help systems, user modeller, periodic prompts, primal content, print queue entry, command preconditions, advisor belief, plan recognizer, interconnection categories, intention matrix, nogood set, user misconceptions, atomic plan, justification patterns, candidate metaphor
Key Phrases - Capitalized Phrases (CAPs): (learn more)
University of California, Computer Science Division, Kluwer Academic Publishers, Cognitive Science, New York, Computer Science Department, Morgan Kaufmann Publishers, Computational Linguistics, International Journal of Man-Machine Studies, Fachbereich Informatik, Peter Norvig, Stanford University, Los Altos, Progress Report, Dialog Systems, Human Factors, Computing Research Laboratory, Las Cruces, Lawrence Erlbaum, New Mexico State University, Computer Society, Office of Naval Research, Research Report, Academic Press, Cambridge University Press
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