Università degli studi di Udine
Dipartimento di Matematica e Informatica


Artificial Intelligence
Laboratory


Knowledge Based System Development Group


Goals
Results
Principal Investigators
Events
Research Partnership


Goals

Knowledge-based systems (KBSs) have been rapidly growing over the last decade and are now considered a crucial factor for innovation and competition. Their impact on industry and business applications has been impressive and convincing. However, the number of real operative applications is still limited. Knowledge-based technology still largely relies on empirical methods and is not supported by sound and general design and development methodologies. It is more like handicraft than engineering, and it lacks several of the desirable features of an industrial process, such as reliability, repeatability, work-sharing, controllability, cost estimation, and quality assurance.
The main goal of this research group is the development of suitable methodologies for the analysis, design, construction and evaluation of KBS.


Results


Two major publications were produced by the group: Another result is the KLIC (Knowledge Based Systems Life Cycle) methodology for KBS development, which is described in [Guida & Tasso 1994], an extensive volume published by John Wiley.

Principal Investigators


Events

Major events organized by the group are

Research Partnership

The research is carried out jointly with the Department of Electronics for Automation, University of Brescia, Italy (prof. G.Guida).


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