In this paper, we consider a "satisficing" criterion to solve two-person zero-sum games with random payoffs. In particular, a player wants to maximize the payoff level he can achieve with a specified confidence. The problem reduces to solving a nonconvex mathematical programming problem. The main result shows that solving this problem is equivalent to finding the root of an equation whose values are determined by solving a linear problem. This linear problem results from maximizing the confidence with fixed payoff level.

This paper presents a model for determining how a central government can most efficiently allocate resources among other levels of government. The model explicitly includes the fact that lower levels of government can make independent decisions once they have been given resources by the central government. A key feature of the model is the mathematical formulation of the central government's objective of distributing resources efficiently, while at the same time being as fair as possible to all those receiving allocations. An algorithm for solving the model is presented along with a numerical example.

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This paper examines the selection process of housing in urban areas as a coalition process between buyers and sellers. A behavioral and analytic theory is used to predict occupancy of different socioeconomic neighborhoods by persons of different income levels. By including different preferences of buyers and sellers dependent upon their basic socioeconomic background, it is possible to predict decrease or increase of neighborhood size as a function of these preferences. The model allows us to take into account explicitly the effect of bargaining and interdependency of both buyers and sellers in the community system, thus expanding our definition and understanding of decision making about housing in the household sector of this system. An example is included using some data from the Canadian housing market. cc1 241 Behavioral Science. Volume 20. 1975 ions presented in this paper do not necessarily represent those of the Ministry of State for Urban Affairs.

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