Success and failures of knowledge-based systems in real-world applications
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Success and failures of knowledge-based systems in real-world applications proceedings of the first international conference BKK"96, 28-30 October 1996, Asian Institute of Technology, Bangkok, Thailand

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Published by The Institute in Bangkok .
Written in English


  • Expert systems (Computer science) -- Congresses.

Book details:

Edition Notes

Statementedited by Dentcho Batanov and Patrick Brezillon.
ContributionsBatanov, Dentcho. , Brezillon, Patrick., Asian Institute of Technology., International Conference "Successes and Failures of Knowledge-Based Systems in Real-World Applications" (1st : 1996 : Asian Institute of Technology)
LC ClassificationsQA76.76.E95 S84 1996
The Physical Object
Paginationix, 235 p. :
Number of Pages235
ID Numbers
Open LibraryOL338046M
LC Control Number97947969

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A knowledge-based system (KBS) is a system that uses artificial intelligence techniques in problem-solving processes to support human decision-making, learning, and action. Ideal for advanced-undergraduate and graduate students, as well as business professionals, this text is designed to help users develop an appreciation of KBS and their architecture and understand a broad variety of 5/5(1).   Summary of the book ‘Successes and failures of knowledge management’ (Characters with no spaces ) The concept of knowledge management (KM) has gone through an evolution with its mission. First it captured knowledge, and then it focused on making connections (human interactions). Now however, it is much more complex as it takes on various tasks,. On the other hand, papers reporting failures or nonuse of KBSs are rare. The International Conference on "Successes and Failures of Knowledge-Based Systems in Real-World Applications " (Bangkok, Thailand) is the first attempt to collect and analyze such experiences [BKK96, ]. With volumes covering "Implementation," "Optimization," "Computer Techniques," and "Systems and Applications," this comprehensive set constitutes a unique reference source for students, practitioners, and researchers in computer science, engineering, and the broad range of applications areas for knowledge-based systems.

  Modern developments in information technology should allow this task to be made easier by storing and subsequently accruing this “experience” by using expert and knowledge-based systems. The application of these systems to the task of failure analysis, and design against failure, is reviewed, particular emphasis being placed on the. lationships of real-world knowledge that is the goal of knowledge-based systems, and that sets them apart from other computer programs. In this paper, we begin by making an argument, first recognized in the 's, that encoding a great deal of this real-world knowledge is es- sential to enable computer programs to behave intelligently. implementation of knowledge Management systems. The next section describes a case study that helps us to gather enough data to understand the success factors that play a role in the adoption of technical systems. 3. A model of success factors involved in knowledge based system Context of study: Åmot Municipality, Norway. TMRF e-Book Advanced Knowledge Based Systems: Model, Applications & Research (Eds. Sajja & Akerkar), Vol. 1, pp 1 – 11, Chapter 1 Knowledge-Based Systems for Development Priti Srinivas Sajja, Rajendra Akerkar INTRODUCTION Human brain can store several thousand folds of world’s knowledge. Still it is said that human brain is.

Two leading authorities in knowledge-based systems (KBSs) have produced an excellent survey of the technology, successes, and failures of KBS. B ased on their experience and the survey, they discuss the essential value of knowledge processing; industrial and commercial applications, with real-world examples; key trends in applications of KBS. Purchase Knowledge-Based Systems, Four-Volume Set - 1st Edition. Print Book & E-Book. ISBN , Successes and Failures of Knowledge Management highlights examples from across multiple industries, demonstrating where the practice has been implemented well―and not so well―so others can learn from these cases during their knowledge management journey.. Knowledge management deals with how best to leverage knowledge both internally and externally in organizations to improve decision. Empirical verification of effectiveness for a knowledge-based system International Journal of Man-Machine Studies, Vol. 37, No. 3 An Empirical Assessment of Information Systems Planning and the Role of Information Systems in Organizations.