Artificial Intelligence and Geometric Reasoning in Manufacturing Technology

1986 ◽  
Vol 39 (9) ◽  
pp. 1325-1330 ◽  
Author(s):  
John R. Dixon ◽  
Clive L. Dym
Keyword(s):  
Artificial Intelligence ◽  
Design Process ◽  
Expert Knowledge ◽  
Geometric Reasoning ◽  
Geometric Representation ◽  
Knowledge Based Systems ◽  
Knowledge Based ◽  
Planning And Design ◽  
Control Assembly ◽  
Applications Of Ai

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.

Survey of the State-of-the-Art Expert/Knowledge Based Systems in Civil Engineering.

1986 ◽  
Author(s):  
Simon S. Kim ◽  
Mary Lou Maher ◽  
Raymond E. Levitt ◽  
Martin F. Rooney ◽  
Thomas J. Siller
Keyword(s):  
Civil Engineering ◽  
Expert Knowledge ◽  
State Of The Art ◽  
The State ◽  
Knowledge Based Systems ◽  
Knowledge Based

scholarly journals Review of Artificial Intelligence

2020 ◽  
pp. 143-171
Author(s):  
K. P. V. Sai Aakarsh ◽  
Adwin Manhar
Keyword(s):  
Artificial Intelligence ◽  
Computational Intelligence ◽  
Medical Diagnosis ◽  
Computer Application ◽  
Knowledge Based Systems ◽  
Human Race ◽  
Knowledge Based ◽  
Ordinary Person ◽  
Digital Computers

Over many centuries, tools of increasing sophistication have been developed to serve the human race Digital computers are, in many respects, just another tool. They can perform the same sort of numerical and symbolic manipulations that an ordinary person can, but faster and more reliably. This paper represents review of artificial intelligence algorithms applying in computer application and software. Include knowledge-based systems; computational intelligence, which leads to Artificial intelligence, is the science of mimicking human mental faculties in a computer. That assists Physician to make dissection in medical diagnosis.

RIGOROUS ENGINEERING PRACTICE AND FORMAL REASONING OF DEEP DOMAIN KNOWLEDGE—THE BASIS OF DEPENDABLE KNOWLEDGE BASED SYSTEMS FOR PROCESS PLANT CONTROL

1993 ◽  
Vol 03 (01) ◽  
pp. 53-98 ◽  
Author(s):  
SANDRO BOLOGNA ◽  
TERJE SIVERTSEN ◽  
HEIKKI VÄLISUO
Keyword(s):  
Artificial Intelligence ◽  
Domain Knowledge ◽  
Engineering Practice ◽  
Knowledge Based Systems ◽  
Control Engineering ◽  
Engineering Software ◽  
Knowledge Based ◽  
Process Plant ◽  
Verification Process ◽  
The Many

Knowledge based systems are often used to replace humans in solving problems for which only heuristic knowledge on the solution is available. However, there are also important application areas where nonheuristic knowledge is available e.g. in technical documents but where efficient use of the knowledge is impossible without the techniques provided by artificial intelligence. High dependability of these kinds of applications can be achieved if domain knowledge can be represented in a language providing both adequate representational constructs and the required level of formality. In addition, the language should be supported by powerful tools assisting in the verification process. Knowledge Based Systems, despite the different technology employed, are still nothing more than a computer program. Unfortunately, quite a few people building knowledge based systems seem to ignore the many good programming practices that have evolved over the years for producing traditional computer programs. What we need is a framework for the modelling of the KBSs development. In our work, it is claimed that these requirements can be met by utilizing and combining ideas from control engineering, software engineering and artificial intelligence.

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