Knowledge-based systems

HOPGOOD, Adrian A. (2008). Knowledge-based systems. In: DOPICO, Juan Ramón Rabuñal, DORADO, Julian and PAZOS, Alejandro, (eds.) Encyclopedia of Artificial Intelligence. IGI Global, 989-995.

Full text not available from this repository.

Abstract

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.

Item Type:	Book Section
Research Institute, Centre or Group - Does NOT include content added after October 2018:	Materials and Engineering Research Institute > Modelling Research Centre > Microsystems and Machine Vision Laboratory
Identification Number:	https://doi.org/10.4018/978-1-59904-849-9.ch146
Page Range:	989-995
Depositing User:	Adrian Hopgood
Date Deposited:	31 Aug 2012 15:31
Last Modified:	19 Mar 2021 00:01
URI:	https://shura.shu.ac.uk/id/eprint/5651

Actions (login required)

View Item

Downloads

Publication Metrics