Abstract
Modern insurance information systems need intelligence to provide new functions that till now as a rule have been carried out by humans. Introduction of intelligent mechanisms into information systems allows the insurance companies to automate processes in the insurance business and achieve two benefits. Firstly, the amount of work done by humans is reduced and secondly more services can be provided to customers electronically, which increases the level of customer service. Additionally, insurance information systems need to communicate with many other systems to get the needed data. These demands fit the characteristics of intelligent agents. Thus the paper proposes to implement an insurance information system as a multi-agent system using intelligent agents to realize the modules of insurance information systems. A novel multi-agent architecture for insurance information system development is proposed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Demazeau, Y., Pavón, J., Corchado, J.M., Bajo, J. (eds.): 7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2009). AISC, vol. 55, 589 p. Springer, Heidelberg (2009)
Fischer, K., Schillo, M., Siekmann, J.H.: Holonic Multiagent Systems: A Foundation for the Organisation of Multiagent Systems. In: MaÅ™Ãk, V., McFarlane, D.C., Valckenaers, P. (eds.) HoloMAS 2003. LNCS (LNAI), vol. 2744, pp. 71–80. Springer, Heidelberg (2003)
Uhanova, M., Novitsky, L.: Application of Modeling and Internet Technologies in Marine Insurance Business Processes. In: Proceedings of 4th Int. Conference on Computer and IT Applications in the Maritime Industry, COMPIT 2005, Hamburg, pp. 34–43 (2005)
Novickis, L., et al.: Intelligent agents, modelling and web Technologies based development of distributed insurance software. ERDF Project report, 70 p. (2011) (in Latvian)
Wooldridge, M.: An Introduction to MultiAgent Systems, 2nd edn., 365 p. John Wiley & Sons (2009)
Russell, S., Norvig, P.: Artificial Intelligence. A Modern Approach, 2nd edn., 1112 p. Pearson Education, Upper Saddle River (2003)
Grundspenkis, J., Anohina, A.: Agents in Intelligent Tutoring Systems: State of the Art. In: Scientific Proceedings of Riga Technical University, Computer Science. Applied Computer Systems. 5th series, vol. 22, pp. 110–121. RTU Publishing, Riga (2005, 2009)
Lavendelis, E., Grundspenkis, J.: Open Holonic Multi-Agent Architecture for Intelligent Tutoring System Development. In: Proceedings of IADIS Int. Conference, Intelligent Systems and Agents 2008, Amsterdam, The Netherlands, pp. 100–108 (2008)
Lavendelis, E., Grundspenkis, J.: MASITS – A Multi-Agent Based Intelligent Tutoring System Development Methodology. In: Proceedings of IADIS International Conference, Intelligent Systems and Agents 2009, Algarve, Portugal, pp. 116–124 (2009)
Jekabsons, G.: Adaptive Basis Function Construction: an approach for adaptive building of sparse polynomial regression models. In: Zhang, Y. (ed.) Machine Learning, pp. 127–156. In-Tech (2010)
Jekabsons, G., Lavendels, J.: Polynomial regression modelling using adaptive construction of basis functions. In: Proceedings of IADIS International Conference, Applied Computing 2008, Mondragon unibertsitatea, Algarve, Portugal, pp. 269–276 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Lavendelis, E. (2013). Multi-agent Architecture for Intelligent Insurance Systems. In: Omatu, S., Neves, J., Rodriguez, J., Paz Santana, J., Gonzalez, S. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 217. Springer, Cham. https://doi.org/10.1007/978-3-319-00551-5_53
Download citation
DOI: https://doi.org/10.1007/978-3-319-00551-5_53
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-00550-8
Online ISBN: 978-3-319-00551-5
eBook Packages: EngineeringEngineering (R0)