Knowledge in context: A strategy for expert system maintenance

Compton, Paul; Jansen, R.J.G.

doi:10.1007/3-540-52062-7_86

Cited by 89 publications

(67 citation statements)

References 1 publication

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“…It is typically very approximate and is refined by adding exceptions (approach known as "exception programming"). Ripple-down rules (Compton & Jansen, 1988;Catlett, 1992) are based on a similar idea.…”

Section: Related Workmentioning

confidence: 99%

Trading accuracy for simplicity in decision trees

Bohanec

Bratko

1994

Mach Learn

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Abstract. When communicating concepts, it is often convenient or even necessary to define a concept approximately. A simple, although only approximately accurate concept definition may be more useful than a completely accurate definition which involves a lot of detail. This paper addresses the problem: given a completely accurate, but complex, definition of a concept, simplify the definition, possibly at the expense of accuracy, so that the simplified definition still corresponds to the concept "sufficiently" well. Concepts are represented by decision trees, and the method of simplification is tree pruning. Given a decision tree that accurately specifies a concept, the problem is to find a smallest pruned tree that still represents the concept within some specified accuracy. A pruning algorithm is presented that finds an optimal solution by generating a dense sequence of pruned trees, decreasing in size, such that each tree has the highest accuracy among all the possible pruned trees of the same size. An efficient implementation of the algorithm, based on dynamic programming, is presented and empirically compared with three progressive pruning algorithms using both artificial and real-world data. An interesting empirical finding is that the real-world data generally allow significantly greater simplification at equal loss of accuracy.

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Section: Related Workmentioning

confidence: 99%

Trading accuracy for simplicity in decision trees

Bohanec

Bratko

1994

Mach Learn

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“…In our approach, half of the corpus (66 definitions) were used for context modeling, and the second half was kept for validation of the model (Selection of definitions has been made by classical statistical means). The most represented areas in the database are: artificial intelligence (39), documentation (27), cognitive ergonomics (9), cognitive psychology (6), business (4), philosophy (2), linguistic (4) and one in education sciences, another in medicine and the last one in neuroscience (some definitions are multidisciplinary). …”

Section: Focus and Types Of Contextmentioning

confidence: 99%

“…Compton and Jansen [27] address the long-term maintenance of expert systems. They attempt to capture the context by entering the expert's new rule directly as provided, including an 'IF LAST_FIRED (rule n°)' condition.…”

Section: Related Workmentioning

confidence: 99%

Elaboration of the Contextual Graphs representation: From a conceptual framework to an operational software

Brézillon¹

2017

MUC

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ABSTRACT. The paper presents the current status of research on context modeling and management that emerges from several real-world applications since 25 years. We now have a robust conceptual framework and its implementation as a piece of software called Contextual-Graphs (CxG) platform. The context modeling and management were limited to few relevant aspects of context in each application. Working on several applications imposed to develop a robust conceptual framework and software that are independent of applications. The CxG formalism is the syntax and the domain models are the semantics. The CxG formalism relies on four elements (action, contextual element, activity and executive structure of independent activities) and about 200 models were developed as contextual graphs. This success comes from the fact that the CxG formalism is used for modeling human behaviors during task realization, not task models. The robustness of the CxG formalism offers challenging perspectives in crucial domains like weak-signal management in emergency rooms or crisis or security problems.

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“…The worklet selection process is achieved through the use of Ripple Down Rules (RDR), which comprise a hierarchical set of rules with associated exceptions, first devised by Compton and Jansen [26].…”

Section: Context and Worklet Selectionmentioning

confidence: 99%

Worklets: A Service-Oriented Implementation of Dynamic Flexibility in Workflows

Adams

Hofstede

Edmond

et al. 2006

On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE

196

159

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Abstract. This paper presents the realisation, using a Service Oriented Architecture, of an approach for dynamic flexibility and evolution in workflows through the support of flexible work practices, based not on proprietary frameworks, but on accepted ideas of how people actually work. A set of principles have been derived from a sound theoretical base and applied to the development of worklets, an extensible repertoire of self-contained sub-processes aligned to each task, from which a dynamic runtime selection is made depending on the context of the particular work instance.

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Knowledge in context: A strategy for expert system maintenance

Cited by 89 publications

References 1 publication

Trading accuracy for simplicity in decision trees

Trading accuracy for simplicity in decision trees

Elaboration of the Contextual Graphs representation: From a conceptual framework to an operational software

Worklets: A Service-Oriented Implementation of Dynamic Flexibility in Workflows

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