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What is Knowledge-Based System

Encyclopedia of Artificial Intelligence
System in which the knowledge base is explicitly separated from the inference engine that applies the knowledge.
Published in Chapter:
Knowledge-Based Systems
Adrian A. Hopgood (De Montfort University, UK)
Copyright: © 2009 |Pages: 7
DOI: 10.4018/978-1-59904-849-9.ch146
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 (Hopgood, 2003; Hopgood, 2005).
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Engineering of Experience Based Trust for E-Commerce
an AI application system mainly consisting of a knowledge base in a domain and inference engine. It is expected that everyday information systems will increasingly become knowledge-based and provide users with more assistance than they do today.
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Art Innovative Systems for Value Tagging
A recommender system that uses knowledge of the application area to make suggestions to users. The recommendations use domain knowledge to offer recommendations that fulfill the constraints provided by the user.
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Developing Rule-Based Web Applications: Methodologies and Tools
A system that exploits knowledge representation and reasoning techniques in order to achieve an intelligent behavior.
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Evaluation of a Scenario-Based Socratic Style of Teaching and Learning Practice
A knowledge-based system is a computer program that reasons and uses a knowledgebase to solve complex problems.
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Multi-Tier Knowledge-Based System Accessing Learning Object Repository Using Fuzzy XML
Knowledge-Based Systems (KBS) are productive tools of Artificial Intelligence (AI) working in a narrow domain to impart quality, effectiveness and knowledge-based approach in decision-making process. The major components of a KBS are knowledge base to document domain and control knowledge, inference engine to refer and generate new knowledge, self learning to learn from cases and outcomes, explanation and reasoning to justify the actions taken by the system, and friendly user interface.
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