diversity of rule-based approaches: classic systems and recent applications

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ID: 144575
2016
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Abstract
Rules are a common symbolic model of knowledge. Rule-based systems share roots in cognitive science and artificial intelligence. In the former, they are mostly used in cognitive architectures; in the latter, they are developed in several domains including knowledge engineering and machine learning. This paper aims to give an overview of these issues with the focus on the current research perspective of artificial intelligence. Moreover, in this setting we discuss our results in the design of rule-based systems and their applications in context-aware and business intelligence systems.
Reference Key
nalepa2016avant:diversity Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Grzegorz J. Nalepa
Journal journal of the chemical society, faraday transactions 1: physical chemistry in condensed phases
Year 2016
DOI
10.26913/70202016.0112.0006
URL
http://avant.edu.pl/wp-content/uploads/Nalepa-Diversity_of_Rule-based_Approaches.pdf
Keywords
learning rules knowledge engineering biological psychiatry

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