Call, H. J. and Miller, W. A. (1990), A comparison of approaches and implementations for automating decision analysis, Reliability Engineering and System Safety 30, 115–162.
Charnes J. M. and Shenoy, P. P. (1996), A forward Monte Carlo method for solving influence diagrams using local computation. Working Paper No. 273, School of Business, University of Kansas, Lawrence, KS.
Covaliu, Z. and Oliver, R. M. (1995), Representation and solution of decision problems using sequential decision diagrams, Management Science 41(12), 1860–1881.
Fung, R. M. and Shacter, R. D. (1990), Contingent influence diagram. Working Paper, Advanced Decision Systems, Mountain View, CA.
Hart, S. (1992), Games in extensive and strategic form, in R. J. Aumann and S. Hart (eds.), Handbook of Game Theory with Economic Applications, Vol. 1, pp. 19–40. Amsterdam: North-Holland.
Howard, R. A. and Matheson, J. E. (1981), Influence diagrams, reprinted in R. A. Howard and J. E.Matheson (eds.), The Principles and Applications of Decision Analysis (1984), Vol. 2, pp. 719–762. Menlo Park, CA: Strategic Decisions Group.
Kirkwood, C. W. (1993), An algebraic approach to formulating and solving large models for sequential decisions under uncertainty, Management Science 39(7), 900–913.
Kreps, D. and Wilson, R. (1982), Sequential equilibria, Econometrica 50, 863–894.
Kuhn, H. W. (1953), Extensive games and the problem of information, in H. W. Kuhn and A. W. Tucker (eds.), Contributions to the Theory of Games, Vol. 2, pp. 193–216. Princeton, NJ: Princeton University Press.
Olmsted, S. M. (1983), On representing and solving decision problems. Ph.D. thesis, Department of Engineering-Economic Systems, Stanford University, Stanford, CA.
Raiffa H. and Schlaifer, R. O. (1961), Applied Statistical Decision Theory. Cambridge, MA: Harvard Business School.
Raiffa, H. (1968), Decision Analysis: Introductory Lectures on Choices Under Uncertainty. Reading, MA: Addison-Wesley.
Shachter, R. D. (1986), Evaluating influence diagram, Operations Research 34(6), 871–882.
Shenoy, P. P. (1992), Valuation-based systems for Bayesian decision analysis, Operations Research 40(3), 463–484.
Shenoy, P. P. (1993a), A new method for representing and solving Bayesian decision problems, in D. J. Hand (ed.), Artificial Intelligence Frontiers in Statistics: AI and Statistics III, pp. 119–138. London: Chapman & Hall.
Shenoy, P. P. (1993b), Valuation network representation and solution of asymmetric decision problems. Working Paper No. 246, School of Business, University of Kansas, Lawrence, KS.
Shenoy P. P. (1994), A comparison of graphical techniques for decision analysis, European Journal of Operational Research 78(1), 1–21.
Shenoy, P. P. (1995), A new pruning method for solving decision trees and game trees, in P. Besnard and S. Hanks (eds.), Uncertainty in Artificial Intelligence: Proceedings of the Eleventh Conference, pp. 482–490. San Francisco, CA: Morgan Kaufmann.
Smith, J. E., Holtzman, S. and Matheson, J. E. (1993), Structuring conditional relationships in influence diagram, Operations Research 41(2), 280–297.
von Neumann, J. and Morgenstern O. (1944), Theory of Games and Economic Behavior (2nd edn. 1947, 3rd edn. 1953). New York: John Wiley & Sons.
Wilson, R. (1972), Computing equilibria of two-person games from the extensive form, Management Science 18(7), 448–460.
Zermelo, E. (1913), Uber eine Anwendung der Mengenlehre auf die Theorie des Schachspiel, Proceedings of the Fifth International Congress of Mathematics, Vol. 2, pp. 501–504. Cambridge, UK: Cambridge University Press.