Abstract
Execution of a process supporting making financial decisions using the multiagent system entails the need of permanent cooperation between a human (humans) and agent (agents) collectives. Their knowledge is acquired from autonomous and distributed sources and they use different decision support methods therefore certain level of heterogeneity characterizes knowledge of collectives. In the decision-making process one, final decision is required therefore knowledge of individual members of the collective shall be automatically integrated. The aim of the paper is to develop consensus method in order to integrate knowledge of human-agent collectives in a multiagent financial decision support system built with the use of cognitive agent architecture. The first part shortly presents the state-of-the-art in the considered field; next a Multiagent Cognitive Financial Decision Support System has been characterized. The last part of paper presents the consensus algorithm for knowledge integration.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bytniewski, A., Chojnacka-Komorowska, A., Hernes, M., Matouk, K.: The implementation of the perceptual memory of cognitive agents in integrated management information system. In: Barbucha, D., Nguyen, N.T., Batubara, J. (eds.) New Trends in Intelligent Information and Database Systems. SCI, vol. 598, pp. 281–290. Springer, Heidelberg (2015)
Chiarella, C., Dieci, R., Gardini, L.: Asset price and wealth dynamics in a financial market with heterogeneous agents. J. Econ. Dyn. Control 30, 9–10 (2011)
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, CA (2006)
Goertzel, B., Wang, P.: Introduction: what is the matter here? In: Goertzel, B., Wang, P. (eds.) Theoretical Foundations of Artificial General Intelligence, pp. 1–9. Atlantis Press, New York (2012)
Hernes M., Sobieska-Karpińska J.: Application of the consensus method in a multiagent financial decision support system. Inf. Syst. e-Business Manag. Springer, Heidelberg (2015). doi:10.1007/s10257-015-0280-9
Jennings, N.R., Moreau, L., Nicholson, D., Ramchurn, S., Roberts, S., Rodden, T., Rogers, A.: Human-agent collectives. Commun. ACM 57(12), 80–88 (2014)
Korczak J., Hernes M., Bac M.: Performance evaluation of decision-making agents’ in the multi-agent system. In: Ganzha M., Maciaszek L., Paprzycki M. (eds.) Proceedings of Federated Conference Computer Science and Information Systems, Warszawa (2014)
LeBaron, B.: Active and passive learning in agent-based financial markets. East. Econ. J. 37(1), 35–43 (2011)
Maleszka, M., Mianowska, B., Nguyen, N.T.: A method for collaborative recommendation using knowledge integration tools and hierarchical structure of user profiles. Knowl. Based Syst. 47, 1–13 (2013)
Nguyen, N.T.: Advanced Methods for Inconsistent Knowledge Management. Springer, London (2008)
Rohrer, B.: An implemented architecture for feature creation and general reinforcement learning, workshop on self-programming in AGI systems. In: Fourth International Conference on Artificial General Intelligence, Mountain View, CA. http://www.sandia.gov/rohrer/doc/Rohrer11ImplementedArchitectureFeature.pdf. Accessed 11 September 2015
Sycara, K.P., Decker, K., Zeng, D.: Intelligent agents in portfolio management. In: Jennings, R.N., Wooldridge, M. (eds.) Agent Technology, pp. 267–281. Springer, Heidelberg (2002)
Zimniak, M., Getta, J.R., Benn, W.: Predicting database workloads through mining periodic patterns in database audit trails. Vietnam J. Comput. Sci. 2(4), 201–211 (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hernes, M., Bytniewski, A. (2016). Integration of Collective Knowledge in Financial Decision Support System. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49381-6_45
Download citation
DOI: https://doi.org/10.1007/978-3-662-49381-6_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-49380-9
Online ISBN: 978-3-662-49381-6
eBook Packages: Computer ScienceComputer Science (R0)