Experience using S.1: an expert system for newspaper printing press configuration

1987 ◽  
Vol 2 (4) ◽  
pp. 277-285 ◽  
Author(s):  
M.S. Lan ◽  
R.M. Panos ◽  
M.S. Balban
Keyword(s):  
Expert System ◽  
Problem Solving ◽  
System Development ◽  
Printing Press ◽  
Development Tool ◽  
Reasoning Problem ◽  
The Press ◽  
Points Of View ◽  
Configuration Problem

AbstractThis paper describes some of our experience gathered during the development of an expert system, the press lineup advisor, in which we used the commercially available expert system development tool, S.1.™ Discussion includes: (1) how we used S. l to develop a system which solves a configuration problem; (2) difficulties we encountered when applying S.1 to this specific reasoning problem; (3) limitations of S.1 from both problem-solving and operational points of view and (4) issues remaining to be solved with respect to generalization of the system.

Knowledge-acquisition tools with explicit problem-solving models

1993 ◽  
Vol 8 (1) ◽  
pp. 5-25 ◽  
Author(s):  
William Birmingham ◽  
Georg Klinker
Keyword(s):  
Expert System ◽  
Problem Solving ◽  
Expert Systems ◽  
Knowledge Acquisition ◽  
Knowledge Base ◽  
Code Generation ◽  
System Development ◽  
Generalization Error ◽  
Domain Experts ◽  
The Past

AbstractIn the past decade, expert systems have been applied to a wide variety of application tasks. A central problem of expert system development and maintenance is the demand placed on knowledge engineers and domain experts. A commonly proposed solution is knowledge-acquisition tools. This paper reviews a class of knowledge-acquisition tools that presuppose the problem-solving method, as well as the structure of the knowledge base. These explicit problem-solving models are exploited by the tools during knowledge-acquisition, knowledge generalization, error checking and code generation.

Study on Fault Diagnosis Expert System of Aircraft Power-Supply System

2014 ◽  
Vol 945-949 ◽  
pp. 2617-2622 ◽  
Author(s):  
Xu Yan Zhuang ◽  
Ya Yun Xu ◽  
Yong Bao
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Knowledge Base ◽  
Power Supply ◽  
Power Supply System ◽  
System Development ◽  
Inference Engine ◽  
Supply System ◽  
Development Platform ◽  
Development Tool

We always regard aircraft power supply system as the "blood system" of aircraft. It plays a very important role in aircraft work. In view of its fault diagnosis present situation and in order to improve fault diagnosis efficiency, we put forward to use expert system development tool CLIPS to build up fault diagnosis expert system. In this paper, we choose the power-supply system of Cirrus SR20 as diagnosis object, and choose CLIPS as development tool to build up knowledge base and inference engine. By using Eclips development platform to write interface programs and using CLIPS JNI to call CLIPS programs we successfully complete the expert system total performance including knowledge base, inference engine and interface.

Wearable expert system development: definitions, models and challenges for the future

2017 ◽  
Vol 51 (3) ◽  
pp. 235-258 ◽  
Author(s):  
Fabio Sartori ◽  
Riccardo Melen
Keyword(s):  
Expert System ◽  
Knowledge Engineering ◽  
System Development ◽  
Knowledge Bases ◽  
Content Type ◽  
Domain Experts ◽  
Points Of View ◽  
Input Variables ◽  
Distinguishing Features ◽  
Over Time

Purpose A wearable expert system (WES) is an expert system designed and implemented to obtain input from and give outputs to wearable devices. Among its distinguishing features are the direct cooperation between domain experts and users, and the interaction with a knowledge maintenance system devoted to dynamically update the knowledge base taking care of the evolving scenario. The paper aims to discuss these issues. Design/methodology/approach The WES development method is based on the Knowledge Acquisition Framework based on Knowledge Artifact (KAFKA) framework. KAFKA employs multiple knowledge artifacts, each devoted to the acquisition and management of a specific kind of knowledge. The KAFKA framework is introduced from both the conceptual and computational points of view. An example is given which demonstrates the interaction, within this framework, of taxonomies, Bayesian networks and rule-based systems. An experimental assessment of the framework usability is also given. Findings The most interesting characteristic of WESs is their capability to evolve over time, due both to the measurement of new values for input variables and to the detection of new input events, that can be used to modify, extend and maintain knowledge bases and to represent domains characterized by variability over time. Originality/value WES is a new and challenging concept, dealing with the possibility for a user to develop his/her own decision support systems and update them according to new events when they arise from the environment. The system fully supports domain experts and users with no particular skills in knowledge engineering methodologies, to create, maintain and exploit their expert systems, everywhere and when necessary.

Sign in / Sign up

Export Citation Format

Share Document