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Item #:
109842972
Intelligent Help Systems for Unix, (Hardcover)
Item #:
109842972
ZAR 2272
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Intelligent Help Systems for UNIX provides a comprehensive guide to creating effective human-computer interfaces for enhanced user support.
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What Stands Out
Comprehensive Insights
This hardcover book provides in-depth knowledge about intelligent help systems tailored for Unix environments, guiding users through complex concepts effortlessly.
Expert Contributions
Featuring insights from industry experts, this publication delivers credible and practical approaches, enhancing users' problem-solving capabilities and overall understanding of Unix.
Durable Format
The hardcover format ensures longevity and durability, making this resource a valuable addition to any programmer's library, ready for repeated use in academic or professional settings.
Product Details
- Part I: Computational Models and Systems. About the Authors. Preface: Intelligent Help Systems for UNIX. Editorial Part I: Intelligent Help Systems for UNIX; Computational Models and Systems. An Intelligent Human-Computer Interface for Provision of On-Line Help; J. Jerrams-Smith. Virtues and Problems of an Active Help System for UNIX; M. Virvou, et al. The Berkeley UNIX Consultant Project; R. Wilensky, et al. The OSCON Operating System Consultant; P. Mc Kevitt. USCSH: An Active Intelligent Assistance System; M. Matthews, et al. Part II: Planning and Knowledge Representation. Editorial Part II: Intelligent Help Systems for UNIX: Planning and Knowledge Representation. The SINIX Consultant - Towards a Theoretical Treatment of Plan Recognition; M. Hecking. Plan Realization for Complex Command Interaction in the UNIX Help Domain; S.J. Hegner. An Assumption-based Truth Maintenance System in Active Aid for UNIX Users; J. Jones, et al. What Do You Know about Mail? Knowledge Representation in the SINIX Consultant; C. Kemke. Part III: Natural Language Dialogue. Editorial Part III: Intelligent Help Systems for UNIX: Natural Language Dialogue. Planning Intelligent Responses in a Natural Language System; D.N. Chin. Strategies for Expressing Concise, Helpful Answers; D.N. Chin. Evaluating Plan Recognition Systems: Three Properties of a Good Explanation; J. Mayfield. Representing UNIX Domain Metaphors; J.H. Martin. Using Justification Patterns to Advise Novice UNIX Users; A. Quilici.
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | May, 2001 |
| Pages | 436 |
| Subgenre | Artificial Intelligence |
| Series title | No Series |
| Edition | m> Edition |
| Publisher | Springer |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | Higher |
| Is collectible | N |
| Editor | Stephen J Hegner; Paul Mc Kevitt; Peter Norvig; Robert L Wilensky |
| Binding type | Case Binding |
| Retail packaging | Single Piece |
| Assembled product height | 9.21 in (23.4 cm) |
| Assembled product weight | 1.73 lb (780 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Unix System Administrators
This book offers in-depth strategies to enhance efficiency in managing Unix systems and troubleshooting issues effectively.
-
IT Support Professionals
Provides practical insights and methods to support Unix users, improving helpdesk operations and user satisfaction.
-
Computer Science Students
Ideal for students looking to strengthen their understanding of Unix systems and intelligent help technologies in coursework.
-
Casual Users
Individuals with limited Unix experience may find the content too technical and not immediately applicable.
-
Non-Technical Users
Those without a technical background may struggle to engage with the complex concepts presented in the book.
-
Outdated System Users
Users of legacy Unix systems may not benefit from the contemporary solutions and intelligent help approaches discussed.
Product Description
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Features & Benefits
- Comprehensive insight into intelligent help systems for UNIX.
- Focus on computational models and practical applications.
- Includes expert contributions from leading researchers.
- Explores natural language dialogue for user interaction.
- Designed to assist both novice and experienced users.
- Enhances user experience with effective online help systems.
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