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Issue title: Collective intelligent information and database systems
Guest editors: Ngoc-Thanh Nguyen, Manuel Núñez and Bogdan Trawiński
Article type: Research Article
Authors: Maleszka, Marcin*
Affiliations: Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland
Correspondence: [*] Corresponding author. Marcin Maleszka, Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wyb. Wyspianskiego 27, 50-370 Wroclaw, Poland. Tel.: +48 71 320 29 38; Fax: +48 71 320 42 95; E-mail: [email protected].
Abstract: Integration of collective knowledge becomes a more and more common task, but research rarely focuses on how it is influenced by the time dimension. In this paper we describe expanding conflict profile – a method to model the changes in collective knowledge consensus when the group is slowly adding new members with new opinions. We also describe the asynchronous aspect of group communication in a decentralized multi-agent system. We provide simulation experiments for both parts, as well as a prototype application using the results of our research. We show that our approach may be successfully used in applications, where previously only a centralized multi-agent systems were used.
Keywords: Knowledge integration, multiagent system, collective knowledge, consensus theory
DOI: 10.3233/JIFS-169123
Journal: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 2, pp. 1241-1252, 2017
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