Agents’ Knowledge Conflicts’ Resolving in Cognitive Integrated Management Information System – Case of Budgeting Module
Marcin Hernes , Anna Chojnacka-Komorowska , Adrianna Kozierkiewicz , Marcin Pietranik
AbstractNowadays 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.
|Publication size in sheets||0.55|
|Book||Nguyen Ngoc Thanh, Pimenidis Elias , Khan Zaheer , Trawiński Bogdan (eds.): Computational Collective Intelligence. 10th International Conference, ICCCI 2018, Bristol, UK, September 5-7, 2018, Proceedings, Part I, Lecture Notes in Artificial Intelligence, no. 11055, 2018, Springer International Publishing, ISBN 9783319984421, 563 p., DOI:10.1007/978-3-319-98443-8|
|Keywords in English||Budgeting, Cognitive Agents, Integrated Management Information Systems, Knowledge Conflicts|
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