Advertisement

On the Legacy of Herbert Simon and his Contribution to Decision-making Support Systems and Artificial Intelligence

  • Jean-Charles Pomerol
  • Frédéric Adam
Part of the Decision Engineering book series (DECENGIN)

Abstract

Herbert Simon is a key researcher in a number of areas of the IS field. Although his work has been used as like foundation for much research in DMSS, it is in the area of artificial intelligence that he has most directly contributed to the progress of scientific thinking. In this chapter, we examine his legacy and illustrate the impact of his research on DMSS and AI.

Keywords

Decision Maker Decision Support System Heuristic Search Organizational Learning Representation Level 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bell ED, Raiffa H, Tversky A (eds.), (1988) Decision-making, Cambridge University Press, Cambridge, USA.zbMATHGoogle Scholar
  2. Berkeley D, Widmeyer G., Brezillon P, Rajkovick V (1998) Context Sensitive Decision Support Systems, Chapman and Hall, London, UK.Google Scholar
  3. Bonczek RH, Holsapple CW, Whinston AB (1981) Foundations of Decision Support Systems, Academic Press, NY.Google Scholar
  4. Coase RH (1988) The Firm, the Market and the Law, The University of Chicago Press, Chicago, USA.Google Scholar
  5. Crozier M, Friedberg E (1977) L’Acteur et le Système, Editions du Seuil, Paris.Google Scholar
  6. Cyert RM, March JG, (1963) A Behavorial Theory of the Firm, Prentice-Hall, Englewood Cliffs, N.J.Google Scholar
  7. Damasio AR, Damasio H, Christen Y (eds) (1996) Neurobiology of Decision-making, Springer, Berlin.Google Scholar
  8. Gilboa I, Schmeidler D (1995) Case-based decision theory, Quarterly Journal of Economics 110; 605–639.zbMATHCrossRefGoogle Scholar
  9. Gilboa I, Schmeidler D (2000a) Case-based knowledge and induction. IEEE Transactions on Systems, Man and Cybernetics 30: 85–95.Google Scholar
  10. Gilboa I, Schmeidler D, (2000b) Cognitive Foundations of Inductive Inference and Probability: An Axiomatic Approach, Working Paper, Tel Aviv and Ohio State Universities.Google Scholar
  11. Humphrey P, Bekerley D, (1985) Handling uncertainty: levels of analysis of decision problems, in G. Wright (Ed.) Behavioural Decision-making, Plenum Press, London.Google Scholar
  12. Jameux C (1984) Pouvoir, information et coordination: les contributions de H.A. Simon au concept de pouvoir, in Colloque de la Grande Motte, A. Demailly et J.L. Le Moigne (Eds.), 336–345.Google Scholar
  13. Janis I (1972) Victims of Groupthink, Houghton Mifflin Comp, USA.Google Scholar
  14. Kahneman D, Tversky A (eds.) (2000) Choices, Values and Frames, Cambridge University Press, Cambridge UK.Google Scholar
  15. Kahneman D, Slovic P, Tversky A (eds.) (1982) Judgment under Uncertainty: Heuristics and Biases, Cambridge University Press, Cambridge, U.K.Google Scholar
  16. Klein GA (1993) A recognition-primed decision (RPD) model of rapid decision-making, in Decision-making in Action, Models and Methods, G.A. Klein, J. Orasanu, R. Calderwood, C.E. Zsambok (Eds.), Ablex, Nordwood N.J., 138–147.Google Scholar
  17. Langley A, Mintzberg H, Pitcher P, Posada E., Saint-Macary, J (1995) Opening Up Decision-making: the View from the Black Stool, Organisation Science, 6,3, 190–205.Google Scholar
  18. Lévine P, Pomerol JC (1989) Systèmes Interactifs d’aide à la Décision et Systèmes Experts, Hermès, Paris.Google Scholar
  19. Lévine P, Pomerol JC (1995) The role of the decision maker in DSSs and representation levels, in Proceedings of the 29 th Hawaï International conference on System Sciences, volume 3, Nunamaker Jr. J. F. and Sprague R. H. (Eds), IEEE, 42–51Google Scholar
  20. Lewin K, Dembo T, Festinger L, Sears P (1944) Level of aspiration, in Personality and the Behavior disorders, J.M. Hunts (Ed.), Ronald Press, NY, 333–378.Google Scholar
  21. Lewis PJ (1991) The decision-making basis for information systems: contribution of Vicker’s concept of appreciation perspective, European Journal of Information Systems 1: 33–43.CrossRefGoogle Scholar
  22. March JG, Simon HA (1993) Organizations (second edition; first edition 1958), Basil Backwell, Oxford, U.K.Google Scholar
  23. Mintzberg H (1990) Le Management, Voyage au Centre des Organisations, Les Editions d’Organisations, Paris.Google Scholar
  24. von Neumann J, Morgenstern O (1944) Theory of Games and Economic Behavior, Princeton University Press, N.J.zbMATHGoogle Scholar
  25. Newell A, Simon H (1963) GPS: a program that simulates human thought, in Computer and Thoughts, Feigenbaum, E. and Fieldman, J. (Eds), McGraw-Hill.Google Scholar
  26. Newell A, Simon HA (1972) Human Problem Solving, Prentice-Hall, Englewood Cliffs.Google Scholar
  27. Newell A, Simon HA (1976) Computer science as empirical inquiry: symbols and search. Communications of the ACM, 19(3): 113–126.CrossRefMathSciNetGoogle Scholar
  28. Piattelli-Dalmarini M (1995) La réforme du Jugement ou comment ne plus se tromper, Odile Jacob, Paris.Google Scholar
  29. Pomerol JC (1994) Le monde de l’aide à la décision, LAFORIA-Working Papers Series, Number 94 / 20, 1–26.Google Scholar
  30. Pomerol JC (1997) Artificial intelligence and human decision-making, European Journal of Operational Research 99: 3–25.zbMATHCrossRefGoogle Scholar
  31. Pomerol JC (2001) Scenario development and practical decision-making under uncertainty, Decision Support Systems 31: 197–204.CrossRefGoogle Scholar
  32. Pomerol JC (2005) La Décision Humaine: Reconnaissance plus raisonnement, in concepts et méthodes pour l’aide à la décision, D. Bouyssou, D. Dubois, M. Pirlot and H. Prade (Eds), Hermès, forthcoming.Google Scholar
  33. Pomerol JC, Adam F (2003a) From human decision-making to DMSS architecture, in M. Mora, G.A. Forgionne and J.N.D. Gupta, Decision-making Support Systems, Idea Group, Hershey PA, 40–70Google Scholar
  34. Pomerol JC., Adam F (2003b) Multi-level and multi-model DSSs, in DSS in the uncertainty of the internet age, T. Bui, H. Sroka, S. Stanek et J. Goluchowski (Eds.), Karol Adamiecki University of Economics Press, Katowice, Poland, 333–346.Google Scholar
  35. Pomerol JC, Adam F (2005) Decision-making support systems and representation Levels, Encyclopedia of Information Science and Technology, M. Khosrow-Pour (Ed.), Volume IV, 766–771.Google Scholar
  36. Power JD (2003) Defining decision support constructs, in DSS in the uncertainty of the internet age, T. Bui, H. Sroka, S. Stanek et J. Goluchowski (Eds.), Karol Adamiecki University of Economics Press, Katowice, Poland, 51–61.Google Scholar
  37. Rubinstein A (1998) Modeling Bounded Rationality, MIT Press, MA.Google Scholar
  38. Selten R (2002) What is bounded rationality, in Bounded Rationality: the adaptive toolbox, Gigerenzer G. and Selten R. (Eds.), MIT Press, MA, 13–36.Google Scholar
  39. Simon HA (1955) A Behavioral model of rational choice, Quarterly Journal of Economics, 69, 99–118.CrossRefGoogle Scholar
  40. Simon HA., (1967) Motivational and Emotional Controls of Cognition, Psychological Review, 74, 29–39.CrossRefGoogle Scholar
  41. Simon HA (1972) Theories of bounded rationality, in Decision and Organization, C.B. McGuire and R. Radner (Eds.), North Holland, Amsterdam, 161–176.Google Scholar
  42. Simon HA (1976) From Substantive to Procedural Rationality, in Methods and Appraisal in Economics, S.J. Latsis (Ed.), Cambridge University Press, N.Y., 129–148.Google Scholar
  43. Simon HA (1977) The New Science of Management Decision (3rd revised edition; first edition 1960) Prentice-Hall, Englewood Cliffs, NJ.Google Scholar
  44. Simon HA (1979) Models of Thought, Yale University Press, New Haven.Google Scholar
  45. Simon HA (1981) The Sciences of the Artificial (2nd. edition; 1st. edition 1969) MIT Press, Cambridge, Mass.Google Scholar
  46. Simon HA (1983) Reason in Human Affairs, Basil Blackwell, Oxford, U.K.Google Scholar
  47. Simon HA (1984) Commentaires dans le Cadre du Colloque de la Grande Motte, in Demailly A. and Le Moigne J.L., 577–619.Google Scholar
  48. Simon HA (1987) Two heads are better than one: the collaboration between AI and OR, Interfaces 17: 8–15.Google Scholar
  49. Simon HA (1991) Models of my Life, BasicBooks.Google Scholar
  50. Simon HA (1995a) Explaining the ineffable: AI on the topics of intuition, insight and inspiration, Proceedings of IJCAI-95, 939–948.Google Scholar
  51. Simon HA (1995b) Artificial Intelligence: an empirical science. Artificial Intelligence, 77(1): 95–127.CrossRefGoogle Scholar
  52. Simon HA (1997) Administrative Behavior (4th expanded edition; first edition 1947), The Free Press, N.Y.Google Scholar
  53. Sprague RH, Carlsson ED (1982) Building Effective Decision Support Systems, Prentice Hall, NJ.Google Scholar
  54. Taylor FW (1911) The Principles of Scientific Management, Harper and Bres, New-York.Google Scholar
  55. Weil T (2000) Invitation à la lecture de James March, Presses de l’Ecole des Mines de Paris.Google Scholar
  56. Williamson OE (1991) The Logic of Economic Organizations, in The Nature of the Firm, Williamson O.E. and Winter S.G. (Eds.), Oxford University Press, Oxford.Google Scholar
  57. von Winterfeldt D, Edwards W (1986) Decision analysis and Behavorial Research, Cambridge University Press, Mass.Google Scholar
  58. Zacklad M, Grundstein M (eds.) (2001) Ingénierie et Capitalisation des Connaissances (Vol. 1); Management des Connaissances (Vol. 2), Hermès Science, Paris.Google Scholar

Copyright information

© Springer-Verlag London Limited 2006

Authors and Affiliations

  • Jean-Charles Pomerol
    • 1
  • Frédéric Adam
    • 2
  1. 1.Université Pierre et Marie CurieParis 5France
  2. 2.Business Information SystemsUniversity College CorkCorkIreland

Personalised recommendations