Skip to main content
SpringerLink
Log in

Marine Insurance with Expert Systems

  • Published:
Operational Research Aims and scope Submit manuscript

Abstract

The use of Expert Systems of specific structure in Marine Insurance is proposed. In addition, it can be used as a tutor. The specific representation of knowledge makes possible the right interpretation of situations in order to ensure good advices to Insurance Companies. The presence of the expert is not anymore indispensable, but the Expert System trains the users to become expert in the specific discipline of Marine Insurance.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Ernst, G. and Newwell, A. (1969). GPS: a Case Study in Generality and Problem Solving. Academic Press, New York.

    Google Scholar 

  • Feigenbaum, E. (1971). On Generality and Problem Solving.Machine Intelligence vol 6.

  • Forsyth, R. (1985) Expert Systems. Chapman and Hall Computing, New York.

    Google Scholar 

  • Gevarter, W. B. (1982). An Overview of Expert Systems.NBSIR1982-2505. US Department of Commerce, National Bureau of Standards, Washington D.C.

    Google Scholar 

  • Laudon, K.C. and Laudon, J. P. (1990)Management Information Systems — Organisation and Technology in the networked enterprise. 6th edition, Prentice-Hall, 4–7.

  • Knutt, D. (1973).The art of computer programming. Addison Wesley.

  • Minsky, M. and Papert, S. (1969). PERCEPTRON: an Introduction to Computational Geometry. MIT Press, Massachusetts.

    Google Scholar 

  • Panayiotopoulos, J.-C. (1992). White, Gray and Black Operational Holes: An artificial Intelligence Approach.Information and Optimization Sciences, vol. 13 (3), 407–425.

    Google Scholar 

  • Rosenblatt, F. (1957). THE PERCEPTRON: a Perceiving and Recognizing Automation. Cornell Aeronautical Lab, New York.

    Google Scholar 

  • Shcank, R.C. and Abalson, P.P. (1997). Scripts, plans, goals and understanding. Lawrence Erlbaum & Assoc., Hillsdale, New Jersey.

    Google Scholar 

  • Shortlife, E. (1976). Computer Based Medical Consultations: MYCIN. American Elsevier, New York.

    Google Scholar 

  • Goulielmos, A. (1996).Management of Maritime Companies. Stamoulis Publications, Athens-Piraeus, 125–126.

    Google Scholar 

  • Metaxas, B. (1991).Principles of Maritime Economy. Papazissis Publications, 77–79.

  • Stathopoulos, A. (1991).Introduction to Business Economy and Management. Vol I, Sbilias Publications, Athens.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Informatics, Department of Maritime Studies, University of Piraeus, Karaoli & Dimitriou 80, 185 34, Piraeus, Greece

    J. -C. Panayiotopoulos & M. Pazarzis

Authors
  1. J. -C. Panayiotopoulos
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. Pazarzis
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Panayiotopoulos, J.C., Pazarzis, M. Marine Insurance with Expert Systems. Oper Res Int J 7, 137–145 (2007). https://doi.org/10.1007/BF02941190

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02941190

Keywords

Search

Navigation