Diversity of Rule-based Approaches: Classic Systems and Recent Applications

• Authors: Grzegorz J. Nalepa
• Languages of publication: EN

Abstracts

EN

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.

Keywords

EN

rules; knowledge engineering; learning; context-aware systems; cognitive-architectures

• Publisher: Ośrodek Badań Filozoficznych - Centre for Philosophical Research
• Journal: Avant
• Year: 2016
• Volume: 7
• Issue: 2

Dates

published

2016

online

2018-10-20

Contributors

author

Grzegorz J. Nalepa