Building collective intelligence through experience: a survey on the use of the KREM model

Cecilia Zanni-Merk; Edward Szczerbicki

doi:10.3233/jifs-179327

Building collective intelligence through experience: a survey on the use of the KREM model

Abstract

This article presents a survey on the use of KREM, a generic knowledge-based framework for building collective intelligence through experience. After a discussion on the disadvantages of the traditional architecture used to deploy intelligent systems, the KREM architecture (Knowledge, Rules, Experience, Meta-Knowledge) is presented. The novelty of the proposal comes from the inclusion of the capitalisation of experience and the use of meta-knowledge in the traditional architecture previously discussed. KREM improves the efficiency of traditional intelligent systems by allowing incomplete expert knowledge models to be used, gradually completing them, learning with experience. In addition, the use of meta-knowledge can guide their execution more effectively. This framework has been successfully used in various projects in different application areas, which are presented and discussed.

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Authors (2)

Cecilia Zanni-Merk
Edward Szczerbicki prof. dr hab. inż.

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Keywords

KNOWLEDGE TECHNOLOGIES, ONTOLOGIES, REASONING, EXPERIENCE, META-KNOWLEDGE

Details

Category:: Articles
Type:: artykuły w czasopismach
Published in:: JOURNAL OF INTELLIGENT & FUZZY SYSTEMS no. 37, pages 7141 - 7153,
ISSN: 1064-1246
Language:: English
Publication year:: 2019
Bibliographic description:: Zanni-Merk C., Szczerbicki E.: Building collective intelligence through experience: a survey on the use of the KREM model// JOURNAL OF INTELLIGENT & FUZZY SYSTEMS -Vol. 37,iss. 6 (2019), s.7141-7153
DOI:: Digital Object Identifier (open in new tab) 10.3233/jifs-179327
Verified by:: Gdańsk University of Technology