This special issue of Computational Management Science covers a series of topics in dynamic games, with four of the six papers having a survey flavor. Ben Abdelaziz and Krichen review the optimal stopping time problem in the context where several decision makers are involved. They classify the literature in terms of the main variables which are usually considered, i.e., arrival of offers, number of offers to be selected, nature of the game, utility function of the decision maker, etc. Engwerda reviews some algorithms for the computation of Nash equilibria in the class of linear-quadratic differential games, a class widely used in economics and management science applications. The author covers both the open-loop and the feedback information structures, and finite and infinite planning horizon.Genc studies market outcome equivalence of two dynamic production-capital investment games under uncertainty. One game is played under complete information, and the other, feedback game, is played under incomplete information about the opponents’ costs and market demand, as in, e.g., industries in which a homogeneous good is exchanged via an auction mechanism. He shows that in that case, the feedback game may predict the complete information equilibrium market outcomes. Jorgensen and Zaccour take a general look at the (huge) literature applying differential games in economics and management science, and conclude that this literature has aimed to a large extent for analytical results. After suggesting some explanations to this state of affair, they give an account of a number of (recent and earlier) developments in numerical methods in differential games that, by and large, have not been used in these fields.Krawczyk deals with games where the agents face joint constraints as in, e.g., several electric utilities using a
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