Computational Intelligence for Knowledge-Based Systems Design

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.

Download Full-text

Sketching an evolutionary hierarchical framework for knowledge-based systems design

Computer Aided Systems Theory — EUROCAST '89 - Lecture Notes in Computer Science ◽

10.1007/3-540-52215-8_9 ◽

1990 ◽

pp. 95-110 ◽

Cited By ~ 3

Author(s):

Charles Rattray ◽

Don Price

Keyword(s):

Systems Design ◽

Knowledge Based Systems ◽

Hierarchical Framework ◽

Knowledge Based

Download Full-text

Knowledge-Based Systems

Encyclopedia of Artificial Intelligence ◽

10.4018/978-1-59904-849-9.ch146 ◽

2011 ◽

pp. 989-995 ◽

Cited By ~ 1

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).

Download Full-text