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Könyv Incompleteness Handling Methodology for Validation of Bayesian Knowledge Bases David J Bawcom

Incompleteness Handling Methodology for Validation of Bayesian Knowledge Bases

Szerző: David J Bawcom
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Biblioscholar
Elérhetőség: Beszállítói készleten
Küldés 14-21 napon belül
6 137 Ft
The PESKI (Probabilities, Expert Systems, Knowledge, and Inference) system attempts to address some...

Információk a könyvről

Szerző
David J Bawcom
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2012
oldal
80
EAN
9781288313983
ISBN
9781288313983
Enbook ID
08243114
Kiadó
Biblioscholar
Súly
159
Méretek
189 x 246 x 4

Teljes leírás

The PESKI (Probabilities, Expert Systems, Knowledge, and Inference) system attempts to address some of the problems in expert system design through the use of the Bayesian Knowledge Base (BKB) representation. Knowledge gathered from a domain expert is placed into this framework and inferencing is performed over it. However, by the nature of BKBs, not all knowledge is incorporated, i.e. the representation need not be a complete representation of all combinations and possibilities of the knowledge, as this would be impractical in many real-world systems. Therefore, inherent in such a system is the problem of incomplete knowledge, or spaces within the knowledge base where areas of lacking knowledge preclude or hinder arrival at a solution. Some of this knowledge is intentionally omitted because its not needed for inferencing, while other knowledge is erroneously omitted but necessary for valid results. Intentional omission, a strength of the BKB representation, allows for capturing only the relevant portions of knowledge critical to modeling an expert's knowledge within a domain. This research proposes a method for handling the latter form of incompleteness administered through a graphical interface. The incompleteness is then able to be detected and corrected by the knowledge engineer in an intuitive fashion.

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