1. Consider alternative strategies for the Experiment Generator module of In par
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Question
1. Consider alternative strategies for the Experiment Generator module of In particular, consider strategies in which the Experiment Generator suggest new board positions by: o Generating random legal board positions o Generating a position by picking a board state from the previous games, then applying one of the moves that was not executed o a strategy of your own design Discuss the tradeoffs among these strategies. Which do you feel would work best if the number of training examples was held constant, given the performance measure of winning the most games at the world championship?
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Concepts such as rational expectations and dynamic general equilibrium will be widely used. The determination of real variables such as output and employment, and of nominal variables such as inflation and the nominal interest rate, will be studied, as will their interaction. Macroeconomic policy and its potential for improving the operation of the economy will also receive substantial attention.
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The object of the course is to examine the current state of microeconomic theory at several of its frontiers. The course covers theories of consumer and producer behaviour under certainty and uncertainty, general equilibrium theory with complete and incomplete markets, cooperative and non-cooperative games, asymmetric information and rational expectations.
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This module is designed to provide an introduction to elements of microeconomic theory which are applicable to a range of decision-making and policy problems in public and private sectors. The course presents both analytical material and examples of the application of analysis to a range of policy and decision making issues.
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This module is designed to provide an introduction to elements of game theory which are applicable to a range of decision-making and policy problems in public and private sectors. The course presents both analytical material and examples of the application of analysis to a range of policy and decision making issues.
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The aim of this module is to provide an understanding and experience of the application of basic methods of clinical decision analysis to a range of decision problems in health care. In particular it provides a thorough understanding of the way clinical decision analysis can be used to evaluate diagnostic information, provide a framework for the economic evaluation of alternative strategies of patient management, and can also be used to inform allocative decisions about which health care technologies should be adopted and what research may be required to inform these decisions in the future. Only available for students registered for the MSc program in Health Economics and visiting students.
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