Knowledge-Based Systems

2011 ◽  
pp. 989-995 ◽  
Author(s):  
Adrian A. Hopgood
Keyword(s):  
Computational Intelligence ◽  
Early Research ◽  
Computer Hardware ◽  
Case Based Reasoning ◽  
Major Theme ◽  
Knowledge Based Systems ◽  
Rule Based ◽  
Knowledge Based ◽  
Explicit Representations ◽  
Case Based

The tools of artificial intelligence (AI) can be divided into two broad types: knowledge-based systems (KBSs) and computational intelligence (CI). KBSs use explicit representations of knowledge in the form of words and symbols. This explicit representation makes the knowledge more easily read and understood by a human than the numerically derived implicit models in computational intelligence. KBSs include techniques such as rule-based, modelbased, and case-based reasoning. They were among the first forms of investigation into AI and remain a major theme. Early research focused on specialist applications in areas such as chemistry, medicine, and computer hardware. These early successes generated great optimism in AI, but more broad-based representations of human intelligence have remained difficult to achieve (Hopgood, 2003; Hopgood, 2005).

scholarly journals NEST: A Compositional Approach to Rule-Based and Case-Based Reasoning

2011 ◽  
Vol 2011 ◽  
pp. 1-15 ◽  
Author(s):  
Petr Berka
Keyword(s):  
Algebraic Theory ◽  
Case Based Reasoning ◽  
Rule Based ◽  
Knowledge Based ◽  
Compositional Approach ◽  
Intelligent Decision ◽  
Intelligent Decision Support Systems ◽  
User Friendly ◽  
Intelligent Decision Support ◽  
Case Based

Rule-based reasoning (RBR) and case-based reasoning (CBR) are two complementary alternatives for building knowledge-based “intelligent” decision-support systems. RBR and CBR can be combined in three main ways: RBR first, CBR first, or some interleaving of the two. The NEST system, described in this paper, allows us to invoke both components separately and in arbitrary order. In addition to the traditional network of propositions and compositional rules, NEST also supports binary, nominal, and numeric attributes used for derivation of proposition weights, logical (no uncertainty) and default (no antecedent) rules, context expressions, integrity constraints, and cases. The inference mechanism allows use of both rule-based and case-based reasoning. Uncertainty processing (based on Hájek's algebraic theory) allows interval weights to be interpreted as a union of hypothetical cases, and a novel set of combination functions inspired by neural networks has been added. The system is implemented in two versions: stand-alone and web-based client server. A user-friendly editor covering all mentioned features is included.

Graphical Fault Diagnosis Expert System of CNC Machine Tool Based on B/S

2014 ◽  
Vol 945-949 ◽  
pp. 1707-1712
Author(s):  
Bin Shen ◽  
Shu Yu Zhao ◽  
Jia Hai Wang ◽  
Juergen Fleischer
Keyword(s):  
Fault Diagnosis ◽  
Expert System ◽  
Machine Tool ◽  
Case Based Reasoning ◽  
Cnc Machine Tool ◽  
Cnc Machine ◽  
Rule Based ◽  
Detailed Case ◽  
Case Based ◽  
Remote Fault Diagnosis

Based on the authors previous work of developing an expert system for fault diagnosis of CNC machine tool, this paper studied the theory and method of CNC remote fault diagnosis expert system based on B/S, and presents schema and structure of the expert system in detailed. Case based reasoning is used for the multi-alarm diagnosis, and rule based reasoning is used for single-alarm diagnosis. At last fault diagnosis expert system was designed and developed making use of C# and ASP.NET.

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.

scholarly journals Rule-Based and Case-Based Reasoning in Housing Prices

2007 ◽  
Vol 7 (1) ◽  
Author(s):  
Gabrielle Gayer ◽  
Itzhak Gilboa ◽  
Offer Lieberman
Keyword(s):  
Housing Prices ◽  
Case Based Reasoning ◽  
Rule Based ◽  
Case Based

A Tele-command verification of KOMPSAT-II using Rule-based & Case-based reasoning

2002 ◽  
Author(s):  
Won-Chan Jung ◽  
Hee-Sook Mo ◽  
Jae-Hoon Kim ◽  
Seong-Pal Lee
Keyword(s):  
Case Based Reasoning ◽  
Rule Based ◽  
Case Based
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