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- catalog abstract "Researchers in Artificial Intelligence have traditionally been classified into two categories: the “neaties” and the “scruffies”. According to the scruffies, the neaties concentrate on building elegant formal frameworks, whose properties are beautifully expressed by means of definitions, lemmas, and theorems, but which are of little or no use when tackling real-world problems. The scruffies are described (by the neaties) as those researchers who build superficially impressive systems that may perform extremely well on one particular case study, but whose properties and underlying theories are hidden in their implementation, if they exist at all. As a life-long, non-card-carrying scruffy, I was naturally a bit suspicious when I first started collaborating with Dieter Fensel, whose work bears all the formal hallmarks of a true neaty. Even more alarming, his primary research goal was to provide sound, formal foundations to the area of knowledge-based systems, a traditional stronghold of the scruffies - one of whom had famously declared it “an art”, thus attempting to place it outside the range of the neaties (and to a large extent succeeding in doing so).".
- catalog contributor b11944930.
- catalog created "c2000.".
- catalog date "2000".
- catalog date "c2000.".
- catalog dateCopyrighted "c2000.".
- catalog description "Includes bibliographical references (p. [133]-153).".
- catalog description "Researchers in Artificial Intelligence have traditionally been classified into two categories: the “neaties” and the “scruffies”. According to the scruffies, the neaties concentrate on building elegant formal frameworks, whose properties are beautifully expressed by means of definitions, lemmas, and theorems, but which are of little or no use when tackling real-world problems. The scruffies are described (by the neaties) as those researchers who build superficially impressive systems that may perform extremely well on one particular case study, but whose properties and underlying theories are hidden in their implementation, if they exist at all. As a life-long, non-card-carrying scruffy, I was naturally a bit suspicious when I first started collaborating with Dieter Fensel, whose work bears all the formal hallmarks of a true neaty. Even more alarming, his primary research goal was to provide sound, formal foundations to the area of knowledge-based systems, a traditional stronghold of the scruffies - one of whom had famously declared it “an art”, thus attempting to place it outside the range of the neaties (and to a large extent succeeding in doing so).".
- catalog description "What Are Problem-Solving Methods -- Making Assumptions for Efficiency Reasons -- What Are Problem-Solving Methods -- Making Assumptions for Efficiency Reasons -- An Empirical Survey of Assumptions -- How to Describe Problem-Solving Methods -- A Four Component Architecture for Knowledge-Based Systems -- Logics for Knowledge-Based Systems: MLPM and MCL -- A Verification Framework for Knowledge-Based Systems -- How to Develop and Reuse Problem-Solving Methods -- Methods for Context Explication and Adaptation -- Organizing a Library of Problem-Solving Methods -- Conclusions and Future Work -- Conclusions and Future Work.".
- catalog extent "xii, 153 p. :".
- catalog identifier "3540678166 (softcover : alk. paper)".
- catalog isPartOf "Lecture notes in computer science ; 1791. Lecture notes in artificial intelligence".
- catalog isPartOf "Lecture notes in computer science ; 1791.".
- catalog isPartOf "Lecture notes in computer science. Lecture notes in artificial intelligence.".
- catalog issued "2000".
- catalog issued "c2000.".
- catalog language "eng".
- catalog publisher "Berlin ; New York : Springer,".
- catalog subject "006.3/3 21".
- catalog subject "Artificial intelligence.".
- catalog subject "Computer science.".
- catalog subject "Expert systems (Computer science)".
- catalog subject "Problem solving.".
- catalog subject "QA76.76.E95 F48 2000".
- catalog subject "Software engineering.".
- catalog tableOfContents "What Are Problem-Solving Methods -- Making Assumptions for Efficiency Reasons -- What Are Problem-Solving Methods -- Making Assumptions for Efficiency Reasons -- An Empirical Survey of Assumptions -- How to Describe Problem-Solving Methods -- A Four Component Architecture for Knowledge-Based Systems -- Logics for Knowledge-Based Systems: MLPM and MCL -- A Verification Framework for Knowledge-Based Systems -- How to Develop and Reuse Problem-Solving Methods -- Methods for Context Explication and Adaptation -- Organizing a Library of Problem-Solving Methods -- Conclusions and Future Work -- Conclusions and Future Work.".
- catalog title "Problem solving methods : understanding, description, development, and reuse / Dieter Fensel.".
- catalog type "text".