Expert/knowledge based systems for materials in the construction industry: State-of-the-art report

This article presents a brief review of the current literature on the applications of artificial intelligence (AI) technologies, and especially expert (knowledge-based) systems, to manufacturing. Emphasis is placed on geometric representation and reasoning in design as an aid to manufacturing. Also discussed are applications of AI to process planning and design, process control, assembly, and other phases of manufacturing.

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Rapid development of knowledge-based systems via integrated knowledge acquisition

Artificial intelligence for engineering design analysis and manufacturing ◽

10.1017/s0890060403173052 ◽

2003 ◽

Vol 17 (3) ◽

pp. 221-234 ◽

Cited By ~ 7

Author(s):

HAO XING ◽

SAMUEL H. HUANG ◽

J. SHI

Keyword(s):

Knowledge Acquisition ◽

Knowledge Base ◽

Fuzzy Inference ◽

Expert Knowledge ◽

Traditional Approach ◽

Rapid Development ◽

Real Life ◽

Knowledge Based Systems ◽

Knowledge Based ◽

Linguistic Rules

This paper presents a novel approach, which is based on integrated (automatic/interactive) knowledge acquisition, to rapidly develop knowledge-based systems. Linguistic rules compatible with heuristic expert knowledge are used to construct the knowledge base. A fuzzy inference mechanism is used to query the knowledge base for problem solving. Compared with the traditional interview-based knowledge acquisition, our approach is more flexible and requires a shorter development cycle. The traditional approach requires several rounds of interviews (both structured and unstructured). However, our method involves an optional initial interview, followed by data collection, automatic rule generation, and an optional final interview/rule verification process. The effectiveness of our approach is demonstrated through a benchmark case study and a real-life manufacturing application.

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Towards intelligent systems for boiler design

Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy ◽

10.1243/0957650971537303 ◽

1997 ◽

Vol 211 (5) ◽

pp. 399-409 ◽

Cited By ~ 5

Author(s):

S Lu

Keyword(s):

Artificial Intelligence ◽

Neural Networks ◽

Fuzzy Logic ◽

Intelligent Systems ◽

State Of The Art ◽

Knowledge Based Systems ◽

Design Practice ◽

Knowledge Based ◽

Computer Aided ◽

Boiler Design

This paper describes the application, through examples and comparisons, of artificial intelligence including neural networks, fuzzy logic, genetic algorithms in three levels of computer aided boiler design: design by mathematical modelling, design by optimization and design by knowledge-based systems. It reviews the state-of-the-art situation and trends for future development in boiler design practice.

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Knowledge Acquisition for Knowledge-Based Systems: Notes on the State-of-the-Art

Knowledge Acquisition: Selected Research and Commentary ◽

10.1007/978-1-4613-1531-5_10 ◽

1989 ◽

pp. 131-148 ◽

Cited By ~ 2

Author(s):

John H. Boose ◽

Brian R. Gaines

Keyword(s):

Knowledge Acquisition ◽

State Of The Art ◽

The State ◽

Knowledge Based Systems ◽

Knowledge Based

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New venture planning using advanced information systems support

New England Journal of Entrepreneurship ◽

10.1108/neje-04-02-2001-b005 ◽

2001 ◽

Vol 4 (2) ◽

pp. 43-56

Author(s):

Dorothy G. Dologite ◽

Robert J. Mockler ◽

Marc E. Gartenfeld

Keyword(s):

Information Systems ◽

Business Strategy ◽

Expert Knowledge ◽

New Venture ◽

Knowledge Based Systems ◽

Strategy Formulation ◽

Research Project ◽

Knowledge Based

This article describes a research project answering the question "Can advanced information systems, such as expert knowledge-based systems help in business strategy formulation?"

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