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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Owoc, M.L., Weichbroth, P., Zuralski, K.: Towards better understanding of context-aware knowledge transformation. In: Proceedings of FedCSIS 2017, pp. 1123–1126 (2017)
Hernes, M.: A cognitive integrated management support system for enterprises. In: Hwang, D., Jung, J.J., Nguyen, N.-T. (eds.) ICCCI 2014. LNCS (LNAI), vol. 8733, pp. 252–261. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11289-3_26
Hernes, M., Sobieska-Karpińska, J.: Application of the consensus method in a multi-agent financial decision support system. Inf. Syst. e-Bus. Manag. 14(1), 167–185 (2016)
Zeng, Z.: Construction of knowledge service system based on semantic web. J. China Soc. Sci. Tech. Inf. 24(3), 336–340 (2005)
Atanasova, T.: Towards semantic-based process-oriented control in digital home. In: Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 1133–1137 (2014). https://doi.org/10.15439/2014f317
Hofstadter, D., Mitchell, M.: The copycat project: a model of mental fluidity and analogy-making. In: Hofstadter, D. (ed.) The Fluid Analogies Research Group, Fluid Concepts and Creative Analogies. Basic Books (1995). Chap. 5
Dyk, P., Lenar, M.: Applying negotiation methods to resolve conflicts in multi-agent environments. In: Zgrzywa, A. (ed.) Multimedia and Network Information Systems, MISSI 2006, Oficyna Wydawnicza PWr, Wrocław (2006)
Barthlemy, J.P.: Dictatorial consensus function on n-trees. Math. Soc. Sci. 25, 59–64 (1992)
Hernes, M.: Deriving consensus for term frequency matrix in a cognitive integrated management information system. In: Núñez, M., Nguyen, N.T., Camacho, D., Trawiński, B. (eds.) ICCCI 2015. LNCS (LNAI), vol. 9329, pp. 503–512. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24069-5_48
Kozierkiewicz-Hetmańska, A., Pietranik, M.: The knowledge increase estimation framework for ontology integration on the relation level. In: Nguyen, N.T., Papadopoulos, G.A., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds.) ICCCI 2017. LNCS (LNAI), vol. 10448, pp. 44–53. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67074-4_5
Blumentritt, T.: Integrating strategic management and budgeting. J. Bus. Strateg. 27(6), 73–79 (2006)
Nguyen, N.T.: Inconsistency of knowledge and collective intelligence. Cybern. Syst. 39(6), 542–562 (2008)
Schick, A.: Off-budget expenditure: an economic and political framework. OECD J. Budg. 7(3), 7 (2007)
Lohan, G.: A brief history of budgeting: reflections on beyond budgeting, its link to performance management and its appropriateness for software development. In: Fitzgerald, B., Conboy, K., Power, K., Valerdi, R., Morgan, L., Stol, K.-J. (eds.) LESS 2013. LNBIP, vol. 167, pp. 81–105. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-44930-7_6
Franklin, S., Patterson, F.G.: The LIDA architecture: adding new modes of learning to an intelligent, autonomous, software agent. In: Proceedings of the International Conference on Integrated Design and Process Technology. Society for Design and Process Science, San Diego (2006)
Chojnacka-Komorowska, A.: Principles of modelling the controlling system in enterprise. In: Hittmar, S. (ed.) Theory of Management 3. The Selected Problems for the Development Support of Management Knowledge Base, pp. 327–331. Faculty of Management Science and Informatics, University of Zilina (2011)
Rashidi-Bajgan, H., Rezaeian, J., Nehzati, T., Ismail, N.: A genetic algorithm for capital budgeting problem with fuzzy parameters. In: International Conference on Computer Applications and Industrial Electronics, Kuala Lumpur, pp. 233–238 (2010)
Amthor, M., Rodner, E., Denzler, J.: Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets. CoRR abs/1610.02850 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Hernes, M., Chojnacka-Komorowska, A., Kozierkiewicz, A., Pietranik, M. (2018). Agents’ Knowledge Conflicts’ Resolving in Cognitive Integrated Management Information System – Case of Budgeting Module. In: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11055. Springer, Cham. https://doi.org/10.1007/978-3-319-98443-8_27
Download citation
DOI: https://doi.org/10.1007/978-3-319-98443-8_27
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-98442-1
Online ISBN: 978-3-319-98443-8
eBook Packages: Computer ScienceComputer Science (R0)