Computational collective intelligence for enterprise information systems

Ngoc-Thanh Nguyen; Dosam Hwang; Edward Szczerbicki

doi:10.1080/17517575.2019.1640394

Computational collective intelligence for enterprise information systems

Abstract

Collective intelligence is most often understood as a kind of intelligence which arises on the basis of a group (collective) of autonomous unites (people, systems) which is taskoriented. There are two important aspects of an intelligent collective: The cooperation aspect and the competition aspect (Levy 1997). The first of them means the possibility for integrating the decisions made by the collective members for creating the decision of the collective as a whole. The second aspect, on the other hand, states the diversity of the collective members. It has been proved that for prediction market tasks, these two aspects have an important impact on the collective prediction accuracy. This means, in the general case, that owing to manipulating them one can achieve a given level of intelligence for a collective (Maleszka and Nguyen 2015; Nguyen and Nguyen 2018).

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Authors (3)

Ngoc-Thanh Nguyen
- Politechnika Wroclawska Zarzadzania i Informatyki
Dosam Hwang
- Department of Computer Engineering, Yeungnam University, Korea Department of Computer Engineering, Yeungnam University, Korea
Edward Szczerbicki prof. dr hab. inż.

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Category:: Articles
Type:: artykuł w czasopiśmie wyróżnionym w JCR
Published in:: Enterprise Information Systems no. 13, pages 933 - 934,
ISSN: 1751-7575
Language:: English
Publication year:: 2019
Bibliographic description:: Nguyen N., Hwang D., Szczerbicki E.: Computational collective intelligence for enterprise information systems// Enterprise Information Systems. -Vol. 13, iss. 7-8 (2019), s.933-934
DOI:: Digital Object Identifier (open in new tab) 10.1080/17517575.2019.1640394
Verified by:: Gdańsk University of Technology