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Este Cmap, tiene información relacionada con: Theory of Decisions, c. The expected value of sample information. It is the information of the sample of the population taken to have access to one or more decisions, a. Definition of the theory of the utility. It is used in economics to determine the concept of utility for good service, 5. Game Theory: e. Graphical method., b. Markov chains. It is a mathematical system that helps determine various possible events, c. Common components of the analytical hierarchy systems. It is applied to decision making those that have multiple criteria and requires a human behavior, a. General concepts of the theory of games. The theory of games models scenarios for players with different situations or results and helps as a tool to the analysis of economic behavior, d. Criterion of Savage. The Savage criteria are used for mathematical models of linear regression, 1. Expected value: d. Expected value of perfect information., Units of the Course Unit 1. Decisions in an environment of risk, e. Static and dynamic problem. They are algorithm designs based on the creation of variables and their specifications, d. Expected value of perfect information. Are the values or prices that are available for payment to obtain information, 1. Expected value: a. The criteria for assessing the possible solutions., Unit 3. Markov decision processes 8. Dynamic programming model of finite stage:, a. Conceptualization of the PJA. It is the study and conceptualization of human responses applied in decision making, 9. Dynamic programming model of finite stage: d. Example finite stage dynamic programming., 4. Criteria of Laplace, Minimal, Savage and Hurwicz: a. The criteria for assessing the possible solutions., 9. Dynamic programming model of finite stage: c. Method of successive approximations., e. Alternative solution according to the PJA. Determine the approach and the choice of solutions to convergence problems with a pre-established response output, 9. Dynamic programming model of finite stage: a. Definition of the models of finite stage., 5. Game Theory: c. Zero-sum method and saddle point.