End-user manipulation of a knowledge-based system: a study of an expert's practice

1993 ◽  
Vol 38 (1) ◽  
pp. 129-145 ◽  
Author(s):  
L. Candy ◽  
S.M. O'Brien ◽  
E.A. Edmonds
Keyword(s):  
End User ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
System A

Web-Dialogue Management for Insurance Products

2011 ◽  
pp. 298-305
Author(s):  
Suleyman Taner ◽  
Henk Koppelaar
Keyword(s):  
Insurance Companies ◽  
End User ◽  
Dialogue Management ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Insurance Product

The IP.COM concept enables an end-user to compose automatically an insurance product after conducting a dialogue with a knowledge-based system. This reduces the dependencies of insurance companies on both the IT and the actuarial expert. The system is able to adjust the dialogue interactively according to the specific needs of the users and asks for the relevant data needed for the desired product.

A Knowledge-Based System for Sharing and Reusing Tacit Knowledge in Robotic Manufacturing

2010 ◽  
Vol 1 (4) ◽  
pp. 61-78
Author(s):  
Lei Wang ◽  
Yajie Tian ◽  
Tetsuo Sawaragi ◽  
Yukio Horiguchi
Keyword(s):  
Tacit Knowledge ◽  
Common Knowledge ◽  
Robotic Assembly ◽  
Skilled Workers ◽  
Knowledge Based System ◽  
Root Cause ◽  
Knowledge Based ◽  
System A ◽  
Explanation Based Learning ◽  
A Company

A critical problem in robotic manufacturing is that the task of teaching robotics is rather time-consuming. This has become a serious problem in the present age of cost reduction. Collaboration with a company in the field has revealed that the root cause of this problem is that there is not a common knowledge base in this domain, which can serve as shared and reused knowledge. In robotic manufacturing, the skills and experiences of skilled workers are a form of tacit knowledge that is difficult to be acquired and transferred to other workers and robots. This paper proposes a knowledge-based system for sharing and reusing tacit knowledge in the robotic assembly domain. In this system, a modified EBL (Explanation-based Learning) method is proposed to generalize tacit knowledge from specific robotic programs made by skilled workers. A newly operational criterion is proposed for the generalized tacit knowledge, which demands that it should be expressed understandably by human workers and be reusable by robots to generate programs automatically.

RECOGNITION OF ARABIC PHONETIC FEATURES USING NEURAL NETWORKS AND KNOWLEDGE-BASED SYSTEM: A COMPARATIVE STUDY

1999 ◽  
Vol 08 (01) ◽  
pp. 73-103 ◽  
Author(s):  
S. A. SELOUANI ◽  
J. CAELEN
Keyword(s):  
Neural Networks ◽  
Arabic Language ◽  
Vowel Duration ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Auditory Models ◽  
System A ◽  
Acoustical Analysis ◽  
Phonetic Features ◽  
Segmentation Task

In this paper, we are concerned with the automatic recognition of Arabic phonetic macro-classes and complex phonemes by multi-layer sub-neural-networks (SNN) and knowledge-based system (SARPH). Our interest goes to the particularities of the Arabic language such as geminate and emphatic consonants and the vowel duration. These particularities are unanimously considered as the main root of failure of Automatic Speech Recognition (ASR) systems dedicated to standard Arabic. The purely automatic method constituted by the SNNs is confronted to an approach based on the user phonetic knowledge expressed by SARPH rules. For the acoustical analysis of speech as well as for the segmentation task, auditory models have been used. The ability of systems has been tested in experiments using stimuli uttered by 6 native Algerian speakers. The results show that SNNs achieved well in pure identification while in the case of semantically relevant duration the knowledge-based system performs better.

Interfacing a knowledge-based system to a large database

1989 ◽  
Vol 4 (1) ◽  
pp. 31-51 ◽  
Author(s):  
P. M. D. Gray ◽  
I. G. Archibald ◽  
K. Lunn
Keyword(s):  
Expert System ◽  
Relational Database ◽  
Large Database ◽  
End User ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
Product Formulation ◽  
Front End ◽  
Mainframe Computer

AbstractThis paper describes the interfacing problem that arose in a Product Formulation expert system written in LISP that had to be interfaced to data in a relational database running on a separate mainframe computer. It surveys the different forms of coupling that are possible and emphasizes the advantages of tight navigational coupling over the more popular set-based coupling. It describes how Prolog was used to overcome the interfacing problems and to provide a customized front end to an end user, based on a navigational interface. It reviews the techniques of using Prolog and the likely obstacles, together with a look forward to databases using Frames or Objects.

The Index Expert System: A Knowledge‐Based System to Assist Users in Index Selection

1989 ◽  
Vol 17 (4) ◽  
pp. 19-28 ◽  
Author(s):  
Charles W. Bailey ◽  
Jeff Fadell ◽  
Judy E. Myers ◽  
Thomas C. Wilson
Keyword(s):  
Expert System ◽  
Index Selection ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
System A

A Knowledge-Based System for Sharing and Reusing Tacit Knowledge in Robotic Manufacturing

2013 ◽  
pp. 308-326
Author(s):  
Lei Wang ◽  
Yajie Tian ◽  
Tetsuo Sawaragi ◽  
Yukio Horiguchi
Keyword(s):  
Tacit Knowledge ◽  
Common Knowledge ◽  
Robotic Assembly ◽  
Skilled Workers ◽  
Knowledge Based System ◽  
Root Cause ◽  
Knowledge Based ◽  
System A ◽  
Explanation Based Learning ◽  
A Company

A critical problem in robotic manufacturing is that the task of teaching robotics is rather time-consuming. This has become a serious problem in the present age of cost reduction. Collaboration with a company in the field has revealed that the root cause of this problem is that there is not a common knowledge base in this domain, which can serve as shared and reused knowledge. In robotic manufacturing, the skills and experiences of skilled workers are a form of tacit knowledge that is difficult to be acquired and transferred to other workers and robots. This paper proposes a knowledge-based system for sharing and reusing tacit knowledge in the robotic assembly domain. In this system, a modified EBL (Explanation-based Learning) method is proposed to generalize tacit knowledge from specific robotic programs made by skilled workers. A newly operational criterion is proposed for the generalized tacit knowledge, which demands that it should be expressed understandably by human workers and be reusable by robots to generate programs automatically.

The Preliminary Design of Mechanical Drive and Transmission Components

1995 ◽  
Author(s):  
Jung-Hua Yeh ◽  
F. W. Liou
Keyword(s):  
Power Transmission ◽  
Transmission System ◽  
Preliminary Design ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
System A ◽  
Component Design ◽  
The Matrix ◽  
Practical Algorithm ◽  
Inherent Nature

Abstract Selecting the appropriate components for a mechanical drive and transmission system is complicated not only by the inherent nature of the system designed, but also by the wide varieties of components available from a multitude of manufacturers. The integration of these components is more important when designing a working system where specific constraints have been imposed. Presented in this paper is an investigation of component relationship in the form of a knowledge-based-system which provides a practical algorithm for preliminary design of mechanical drive and transmission system. A design abstraction and an integration attributes in the power transmission components are addressed. The development of the matrix table for optimizing component design is also presented.

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