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2018 | OriginalPaper | Buchkapitel

Agents’ Knowledge Conflicts’ Resolving in Cognitive Integrated Management Information System – Case of Budgeting Module

verfasst von : Marcin Hernes, Anna Chojnacka-Komorowska, Adrianna Kozierkiewicz, Marcin Pietranik

Erschienen in: Computational Collective Intelligence

Verlag: Springer International Publishing

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Abstract

Nowadays management is supporting by using integrated management information systems, including multi-agent systems, where most often the relational or object databases are used. However, it becomes necessary not only to register, by IT systems, the values of economic phenomena’ attributes but also to automatically analyze their meaning. These functions can be realized by using, among others, the cognitive agents running in the frame of a multi-agent system. More often the knowledge of such agents is represented by using semantic methods. However, it often occurs that a multi-agent integrated management information system generates conflicts of knowledge among the agents. These conflicts result from the fact that agents may generate different decisions or solutions to the user, which, in turn, may result from different methods of decision making employed by the agents, different, heterogeneity data sources or different agents’ goals. The aim of this paper is to analyze the knowledge conflicts of cognitive agents and to develop a heuristic algorithm for these conflicts resolving in a Cognitive Integrated Management Information Systems.

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Metadaten
Titel
Agents’ Knowledge Conflicts’ Resolving in Cognitive Integrated Management Information System – Case of Budgeting Module
verfasst von
Marcin Hernes
Anna Chojnacka-Komorowska
Adrianna Kozierkiewicz
Marcin Pietranik
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-319-98443-8_27